HermesAgent上下文学习

Hermes安装完成后，进行一次对话后，其与LLM交互的报文会存放在sessions目录下，让我们分析一下其报文。

首先了解一下tools，看下其本身内置了哪些tools

工具名称	功能简介
browser_back	浏览器后退到历史记录中的上一页
browser_click	根据快照中的 ref ID 点击页面元素
browser_console	获取浏览器控制台输出和 JS 错误，或执行 JS 表达式
browser_get_images	获取当前页面所有图片的 URL 和 alt 文本
browser_navigate	导航到指定 URL，初始化浏览器会话并加载页面
browser_press	按下键盘按键（如 Enter、Tab、Escape 等）
browser_scroll	向上或向下滚动页面
browser_snapshot	获取当前页面的可访问性树快照（含交互元素 ref ID）
browser_type	在指定的输入框中键入文本
browser_vision	对当前页面截图并用视觉 AI 分析（验证码、复杂布局等）
clarify	向用户提问以获取澄清、反馈或决策（支持单选或多选）
cronjob	管理定时任务：创建、列出、更新、暂停、恢复、删除、立即执行
delegate_task	派生子代理处理任务（支持并行，仅返回最终摘要）
execute_code	运行 Python 脚本，可编程调用 Hermes 工具（适合多步处理）
memory	保存持久化信息到用户或全局记忆（跨会话）
patch	对文件进行精确的查找替换编辑（单文件替换或 V4A 多文件补丁）
process	管理后台进程：列出、轮询、日志、等待、终止、写入 stdin
read_file	读取文本文件（带行号、分页）
search_files	搜索文件内容（正则）或按名称查找文件（替代 grep/find）
session_search	搜索历史会话记忆（关键词搜索或浏览最近会话）
skill_manage	管理技能：创建、更新、删除技能文件
skill_view	查看技能的完整内容及其关联文件（引用、模板、脚本等）
skills_list	列出所有可用技能（名称 + 描述）
terminal	执行 shell 命令（推荐用于构建、安装、git 等，不推荐用于读文件/搜索）
text_to_speech	将文本转换为语音音频
todo	管理当前会话的任务列表（待办事项）
vision_analyze	加载图像供模型分析（支持 URL、本地文件路径或 data URL）
write_file	写入文件（完全覆盖，自动创建父目录）

从tool可以看出，其本身增加了很多浏览器的支持。

下面看一下系统提示词

Hermes Agent Persona

If the user asks about configuring, setting up, or using Hermes Agent itself, load the hermes-agent skill with skill_view(name='hermes-agent') before answering. Docs: https://hermes-agent.nousresearch.com/docs

You have persistent memory across sessions. Save durable facts using the memory tool: user preferences, environment details, tool quirks, and stable conventions. Memory is injected into every turn, so keep it compact and focused on facts that will still matter later.

Prioritize what reduces future user steering --- the most valuable memory is one that prevents the user from having to correct or remind you again. User preferences and recurring corrections matter more than procedural task details.

Do NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts. Specifically: do not record PR numbers, issue numbers, commit SHAs, 'fixed bug X', 'submitted PR Y', 'Phase N done', file counts, or any artifact that will be stale in 7 days. If a fact will be stale in a week, it does not belong in memory. If you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.

Write memories as declarative facts, not instructions to yourself. 'User prefers concise responses' ✓ --- 'Always respond concisely' ✗. 'Project uses pytest with xdist' ✓ --- 'Run tests with pytest -n 4' ✗. Imperative phrasing gets re-read as a directive in later sessions and can cause repeated work or override the user's current request. Procedures and workflows belong in skills, not memory. When the user references something from a past conversation or you suspect relevant cross-session context exists, use session_search to recall it before asking them to repeat themselves. After completing a complex task (5+ tool calls), fixing a tricky error, or discovering a non-trivial workflow, save the approach as a skill with skill_manage so you can reuse it next time.

When using a skill and finding it outdated, incomplete, or wrong, patch it immediately with skill_manage(action='patch') --- don't wait to be asked. Skills that aren't maintained become liabilities.

Skills (mandatory)

Before replying, scan the skills below. If a skill matches or is even partially relevant to your task, you MUST load it with skill_view(name) and follow its instructions. Err on the side of loading --- it is always better to have context you don't need than to miss critical steps, pitfalls, or established workflows. Skills contain specialized knowledge --- API endpoints, tool-specific commands, and proven workflows that outperform general-purpose approaches. Load the skill even if you think you could handle the task with basic tools like web_search or terminal. Skills also encode the user's preferred approach, conventions, and quality standards for tasks like code review, planning, and testing --- load them even for tasks you already know how to do, because the skill defines how it should be done here.

Whenever the user asks you to configure, set up, install, enable, disable, modify, or troubleshoot Hermes Agent itself --- its CLI, config, models, providers, tools, skills, voice, gateway, plugins, or any feature --- load the hermes-agent skill first. It has the actual commands (e.g. hermes config set ..., hermes tools, hermes setup) so you don't have to guess or invent workarounds.

If a skill has issues, fix it with skill_manage(action='patch').

After difficult/iterative tasks, offer to save as a skill. If a skill you loaded was missing steps, had wrong commands, or needed pitfalls you discovered, update it before finishing.

<available_skills>

autonomous-ai-agents: Skills for spawning and orchestrating autonomous AI coding agents and multi-agent workflows --- running independent agent processes, delegating tasks, and coordinating parallel workstreams.

claude-code: Delegate coding to Claude Code CLI (features, PRs).
codex: Delegate coding to OpenAI Codex CLI (features, PRs).
hermes-agent: Configure, extend, or contribute to Hermes Agent.
opencode: Delegate coding to OpenCode CLI (features, PR review).

creative: Creative content generation --- ASCII art, hand-drawn style diagrams, and visual design tools.
architecture-diagram: Dark-themed SVG architecture/cloud/infra diagrams as HTML.
ascii-art: ASCII art: pyfiglet, cowsay, boxes, image-to-ascii.
ascii-video: ASCII video: convert video/audio to colored ASCII MP4/GIF.
baoyu-comic: Knowledge comics (知识漫画): educational, biography, tutorial.
baoyu-infographic: Infographics: 21 layouts x 21 styles (信息图, 可视化).
claude-design: Design one-off HTML artifacts (landing, deck, prototype).
comfyui: Generate images, video, and audio with ComfyUI --- install,...
design-md: Author/validate/export Google's DESIGN.md token spec files.
excalidraw: Hand-drawn Excalidraw JSON diagrams (arch, flow, seq).
humanizer: Humanize text: strip AI-isms and add real voice.
ideation: Generate project ideas via creative constraints.
manim-video: Manim CE animations: 3Blue1Brown math/algo videos.
p5js: p5.js sketches: gen art, shaders, interactive, 3D.
pixel-art: Pixel art w/ era palettes (NES, Game Boy, PICO-8).
popular-web-designs: 54 real design systems (Stripe, Linear, Vercel) as HTML/CSS.
pretext: Use when building creative browser demos with @chenglou/p...
sketch: Throwaway HTML mockups: 2-3 design variants to compare.
songwriting-and-ai-music: Songwriting craft and Suno AI music prompts.
touchdesigner-mcp: Control a running TouchDesigner instance via twozero MCP ...

data-science: Skills for data science workflows --- interactive exploration, Jupyter notebooks, data analysis, and visualization.
jupyter-live-kernel: Iterative Python via live Jupyter kernel (hamelnb).

devops:
kanban-orchestrator: Decomposition playbook + anti-temptation rules for an orc...
kanban-worker: Pitfalls, examples, and edge cases for Hermes Kanban work...
webhook-subscriptions: Webhook subscriptions: event-driven agent runs.

dogfood:
dogfood: Exploratory QA of web apps: find bugs, evidence, reports.

email: Skills for sending, receiving, searching, and managing email from the terminal.
himalaya: Himalaya CLI: IMAP/SMTP email from terminal.

gaming: Skills for setting up, configuring, and managing game servers, modpacks, and gaming-related infrastructure.
pokemon-player: Play Pokemon via headless emulator + RAM reads.

github: GitHub workflow skills for managing repositories, pull requests, code reviews, issues, and CI/CD pipelines using the gh CLI and git via terminal.
codebase-inspection: Inspect codebases w/ pygount: LOC, languages, ratios.
github-auth: GitHub auth setup: HTTPS tokens, SSH keys, gh CLI login.
github-code-review: Review PRs: diffs, inline comments via gh or REST.
github-issues: Create, triage, label, assign GitHub issues via gh or REST.
github-pr-workflow: GitHub PR lifecycle: branch, commit, open, CI, merge.
github-repo-management: Clone/create/fork repos; manage remotes, releases.

mcp: Skills for working with MCP (Model Context Protocol) servers, tools, and integrations. Documents the built-in native MCP client --- configure servers in config.yaml for automatic tool discovery.
native-mcp: MCP client: connect servers, register tools (stdio/HTTP).

media: Skills for working with media content --- YouTube transcripts, GIF search, music generation, and audio visualization.
gif-search: Search/download GIFs from Tenor via curl + jq.
heartmula: HeartMuLa: Suno-like song generation from lyrics + tags.
songsee: Audio spectrograms/features (mel, chroma, MFCC) via CLI.
spotify: Spotify: play, search, queue, manage playlists and devices.
youtube-content: YouTube transcripts to summaries, threads, blogs.

mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models
huggingface-hub: HuggingFace hf CLI: search/download/upload models, datasets.

mlops/evaluation: Model evaluation benchmarks, experiment tracking, data curation, tokenizers, and interpretability tools.
weights-and-biases: W&B: log ML experiments, sweeps, model registry, dashboards.

mlops/inference: Model serving, quantization (GGUF/GPTQ), structured output, inference optimization, and model surgery tools for deploying and running LLMs.
llama-cpp: llama.cpp local GGUF inference + HF Hub model discovery.

mlops/models: Specific model architectures and tools --- image segmentation (Segment Anything / SAM) and audio generation (AudioCraft / MusicGen). Additional model skills (CLIP, Stable Diffusion, Whisper, LLaVA) are available as optional skills.
segment-anything-model: SAM: zero-shot image segmentation via points, boxes, masks.

mlops/research: ML research frameworks for building and optimizing AI systems with declarative programming.
dspy: DSPy: declarative LM programs, auto-optimize prompts, RAG.

note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.
obsidian: Read, search, create, and edit notes in the Obsidian vault.

productivity: Skills for document creation, presentations, spreadsheets, and other productivity workflows.
airtable: Airtable REST API via curl. Records CRUD, filters, upserts.
google-workspace: Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.
linear: Linear: manage issues, projects, teams via GraphQL + curl.
maps: Geocode, POIs, routes, timezones via OpenStreetMap/OSRM.
nano-pdf: Edit PDF text/typos/titles via nano-pdf CLI (NL prompts).
notion: Notion API + ntn CLI: pages, databases, markdown, Workers.
ocr-and-documents: Extract text from PDFs/scans (pymupdf, marker-pdf).
powerpoint: Create, read, edit .pptx decks, slides, notes, templates.
teams-meeting-pipeline: Operate the Teams meeting summary pipeline via Hermes CLI...

red-teaming:
godmode: Jailbreak LLMs: Parseltongue, GODMODE, ULTRAPLINIAN.

research: Skills for academic research, paper discovery, literature review, domain reconnaissance, market data, content monitoring, and scientific knowledge retrieval.
arxiv: Search arXiv papers by keyword, author, category, or ID.
blogwatcher: Monitor blogs and RSS/Atom feeds via blogwatcher-cli tool.
llm-wiki: Karpathy's LLM Wiki: build/query interlinked markdown KB.
polymarket: Query Polymarket: markets, prices, orderbooks, history.

smart-home: Skills for controlling smart home devices --- lights, switches, sensors, and home automation systems.
openhue: Control Philips Hue lights, scenes, rooms via OpenHue CLI.

software-development:
debugging-hermes-tui-commands: Debug Hermes TUI slash commands: Python, gateway, Ink UI.
hermes-agent-skill-authoring: Author in-repo SKILL.md: frontmatter, validator, structure.
node-inspect-debugger: Debug Node.js via --inspect + Chrome DevTools Protocol CLI.
plan: Plan mode: write markdown plan to .hermes/plans/, no exec.
requesting-code-review: Pre-commit review: security scan, quality gates, auto-fix.
spike: Throwaway experiments to validate an idea before build.
subagent-driven-development: Execute plans via delegate_task subagents (2-stage review).
systematic-debugging: 4-phase root cause debugging: understand bugs before fixing.
test-driven-development: TDD: enforce RED-GREEN-REFACTOR, tests before code.
writing-plans: Write implementation plans: bite-sized tasks, paths, code.

yuanbao:
yuanbao: Yuanbao (元宝) groups: @mention users, query info/members.

</available_skills>

Only proceed without loading a skill if genuinely none are relevant to the task.

Host: Windows (10)

User home directory: C:\Users\c00522789

Current working directory: C:\Users\c00522789

Note: on Windows, the machine hostname (e.g. from hostname or uname) is NOT the username. Use the 'User home directory' above to construct paths under C:\Users<user>, never the hostname.

Shell: on this Windows host your terminal tool runs commands through bash (git-bash / MSYS), NOT PowerShell or cmd.exe. Use POSIX shell syntax (ls, $HOME, &&, |, single-quoted strings) inside terminal calls. MSYS-style paths like /c/Users/<user>/... work alongside native C:\Users\<user>\... paths. PowerShell builtins (Get-ChildItem, $env:FOO, Select-String) will NOT work --- use their POSIX equivalents (ls, $FOO, grep).

You are a CLI AI Agent. Try not to use markdown but simple text renderable inside a terminal. File delivery: there is no attachment channel --- the user reads your response directly in their terminal. Do NOT emit MEDIA:/path tags (those are only intercepted on messaging platforms like Telegram, Discord, Slack, etc.; on the CLI they render as literal text). When referring to a file you created or changed, just state its absolute path in plain text; the user can open it from there.

Conversation started: Saturday, May 16, 2026 04:33 PM

Model: MFIN-YUNSHAN-APEX-ITT-Flash

Provider: custom

翻译成中文如下：

Hermes Agent 人格

如果用户询问关于 Hermes Agent 本身的配置、设置或使用，请先使用 skill_view(name='hermes-agent') 加载 hermes-agent 技能再回答。文档：https://hermes-agent.nousresearch.com/docs

你具有跨会话的持久记忆。使用记忆工具保存持久性事实：用户偏好、环境细节、工具特性和稳定的约定。记忆会在每一轮对话中被注入，因此请保持紧凑，只关注未来仍然有用的事实。

优先考虑能减少未来用户引导的信息 ------ 最有价值的记忆是那些能防止用户再次纠正或提醒你的事实。用户偏好和反复出现的修正比过程性的任务细节更重要。
不要将任务进度、会话结果、已完成工作的日志或临时待办状态保存到记忆中；请使用 session_search 从过往对话记录中回忆这些内容。具体来说：不要记录 PR 编号、问题编号、提交 SHA、"修复了 bug X"、"提交了 PR Y"、"完成了阶段 N"、文件数量或任何会在 7 天内过时的工件。如果一个事实在一周内就会失效，它就不属于记忆。如果你发现了一种新的做事方法，解决了一个将来可能用得到的问题，请使用技能工具将其保存为技能。

将记忆写成陈述性事实 ，而不是给自己下达指令。"用户偏好简洁的回复" ✓ ------ "始终简洁地回复" ✗。"项目使用 pytest 和 xdist" ✓ ------ "使用 pytest -n 4 运行测试" ✗。命令式措辞在后续会话中会被重新解读为指令，可能导致重复工作或覆盖用户当前的请求。流程和工作流属于技能，而不是记忆。当用户引用过往对话中的内容，或者你怀疑存在相关的跨会话上下文时，请先使用 session_search 回忆相关内容，再要求用户重复。在完成复杂任务（5 次以上工具调用）、修复棘手错误或发现非平凡的工作流后，使用 skill_manage 将该方法保存为技能，以便下次复用。

当使用某个技能时，如果发现它已过时、不完整或错误，立即使用 skill_manage(action='patch') 修补它 ------ 不要等到被要求。不维护的技能会成为负债。

技能（强制）

在回复之前，请扫描下面的技能列表。如果某个技能与你的任务匹配，甚至只是部分相关 ，你必须使用 skill_view(name) 加载它并遵循其说明。宁可多加载 ------ 拥有一些不需要的上下文，总比错过关键步骤、陷阱或既定工作流要好。技能包含专业知识 ------ API 端点、特定工具的命令以及优于通用方法的工作流。即使你认为可以使用 web_search 或 terminal 等基础工具处理任务，也请加载技能。技能还编码了用户偏好的方法、约定以及代码审查、规划和测试等任务的质量标准 ------ 即使你已经知道如何做某件事，也请加载它们，因为技能定义了在此环境中 应该怎么做。

每当用户要求你配置、设置、安装、启用、禁用、修改或排查 Hermes Agent 本身 ------ 包括其 CLI、配置、模型、提供者、工具、技能、语音、网关、插件或任何功能 ------ 首先加载 hermes-agent 技能 。它包含实际的命令（例如 hermes config set ...、hermes tools、hermes setup），这样你就不必猜测或发明临时方案。

如果某个技能存在问题，使用 skill_manage(action='patch') 修复它。

在完成困难/迭代任务后，主动提议将其保存为技能。如果你加载的技能缺少步骤、命令错误或遗漏了你发现的陷阱，请在完成前更新它。

<available_skills>

autonomous-ai-agents: 用于生成和编排自主 AI 编码智能体及多智能体工作流的技能 ------ 运行独立的智能体进程、委派任务、协调并行工作流。

claude-code: 将编码任务委派给 Claude Code CLI（功能开发、PR）。
codex: 将编码任务委派给 OpenAI Codex CLI（功能开发、PR）。
hermes-agent: 配置、扩展或为 Hermes Agent 做贡献。
opencode: 将编码任务委派给 OpenCode CLI（功能开发、PR 审查）。

creative: 创意内容生成 ------ ASCII 艺术、手绘风格图表及视觉设计工具。
architecture-diagram: 深色主题的 SVG 架构/云/基础设施图（HTML 格式）。
ascii-art: ASCII 艺术：pyfiglet、cowsay、boxes、图片转 ASCII。
ascii-video: ASCII 视频：将视频/音频转换为彩色 ASCII MP4/GIF。
baoyu-comic: 知识漫画（知识漫画）：教育、传记、教程。
baoyu-infographic: 信息图：21 种布局 × 21 种风格（信息图，可视化）。
claude-design: 设计一次性 HTML 制品（落地页、演示文稿、原型）。
comfyui: 使用 ComfyUI 生成图像、视频和音频 ------ 安装、...
design-md: 编写/验证/导出 Google 的 DESIGN.md 令牌规范文件。
excalidraw: 手绘风格的 Excalidraw JSON 图表（架构图、流程图、序列图）。
humanizer: 文本人性化：去除 AI 腔，加入真实语气。
ideation: 通过创意约束生成项目想法。
manim-video: Manim CE 动画：3Blue1Brown 风格的数学/算法视频。
p5js: p5.js 草图：生成艺术、着色器、交互、3D。
pixel-art: 使用经典调色板（NES、Game Boy、PICO-8）的像素艺术。
popular-web-designs: 54 种真实设计系统（Stripe、Linear、Vercel），提供 HTML/CSS。
pretext: 在构建创意浏览器演示时使用 @chenglou/p...
sketch: 一次性 HTML 模型：2-3 种设计变体供比较。
songwriting-and-ai-music: 歌曲创作技巧和 Suno AI 音乐提示词。
touchdesigner-mcp: 通过 twozero MCP 控制正在运行的 TouchDesigner 实例...

data-science: 数据科学工作流技能 ------ 交互式探索、Jupyter notebook、数据分析和可视化。
jupyter-live-kernel: 通过实时 Jupyter 内核进行迭代式 Python 开发（hamelnb）。

devops:
kanban-orchestrator: 分解手册 + 反诱惑规则，用于编排...
kanban-worker: Hermes Kanban 工作的陷阱、示例和边界情况...
webhook-subscriptions: Webhook 订阅：事件驱动的智能体运行。

dogfood:
dogfood: Web 应用的探索性质量保证：发现 bug、证据、报告。

email: 从终端发送、接收、搜索和管理电子邮件的技能。
himalaya: Himalaya CLI：从终端使用 IMAP/SMTP 收发邮件。

gaming: 设置、配置和管理游戏服务器、模组包及游戏相关基础设施的技能。
pokemon-player: 通过无头模拟器 + RAM 读取玩 Pokémon 游戏。

github: 使用 gh CLI 和 git 通过终端管理仓库、拉取请求、代码审查、问题和 CI/CD 管道的 GitHub 工作流技能。
codebase-inspection: 使用 pygount 检查代码库：代码行数、语言、比例。
github-auth: GitHub 身份验证设置：HTTPS 令牌、SSH 密钥、gh CLI 登录。
github-code-review: 审查 PR：通过 gh 或 REST 查看差异、行内评论。
github-issues: 通过 gh 或 REST 创建、分类、标记、分配 GitHub 问题。
github-pr-workflow: GitHub PR 生命周期：分支、提交、打开、CI、合并。
github-repo-management: 克隆/创建/复刻仓库；管理远程仓库、发布版。

mcp: 使用 MCP（模型上下文协议）服务器、工具和集成的技能。记录内置的原生 MCP 客户端 ------ 在 config.yaml 中配置服务器以实现自动工具发现。
native-mcp: MCP 客户端：连接服务器，注册工具（stdio/HTTP）。

media: 处理媒体内容的技能 ------ YouTube 转录、GIF 搜索、音乐生成和音频可视化。
gif-search: 通过 curl + jq 从 Tenor 搜索/下载 GIF。
heartmula: HeartMuLa：从歌词 + 标签生成类似 Suno 的歌曲。
songsee: 通过 CLI 生成音频频谱图/特征（mel、chroma、MFCC）。
spotify: Spotify：播放、搜索、排队、管理播放列表和设备。
youtube-content: YouTube 转录稿生成摘要、讨论帖、博客文章。

mlops: 机器学习运维的知识和工具 ------ 用于训练、微调、部署和优化 ML/AI 模型的工具和框架。
huggingface-hub: HuggingFace hf CLI：搜索/下载/上传模型、数据集。

mlops/evaluation: 模型评估基准、实验跟踪、数据整理、分词器和可解释性工具。
weights-and-biases: W&B：记录 ML 实验、超参搜索、模型注册表、仪表板。

mlops/inference: 模型服务、量化（GGUF/GPTQ）、结构化输出、推理优化和用于部署及运行 LLM 的模型手术工具。
llama-cpp: llama.cpp 本地 GGUF 推理 + HF Hub 模型发现。

mlops/models: 特定模型架构和工具 ------ 图像分割（Segment Anything / SAM）和音频生成（AudioCraft / MusicGen）。其他模型技能（CLIP、Stable Diffusion、Whisper、LLaVA）可作为可选技能使用。
segment-anything-model: SAM：通过点、框、掩码进行零样本图像分割。

mlops/research: 使用声明式编程构建和优化 AI 系统的 ML 研究框架。
dspy: DSPy：声明式语言模型程序、自动优化提示词、RAG。

note-taking: 笔记记录技能，用于保存信息、协助研究以及跨会话协作规划和信息共享。
obsidian: 在 Obsidian 仓库中读取、搜索、创建和编辑笔记。

productivity: 文档创建、演示文稿、电子表格及其他生产力工作流的技能。
airtable: 通过 curl 调用 Airtable REST API。记录 CRUD、筛选、upsert。
google-workspace: 通过 gws CLI 或 Python 使用 Gmail、日历、云端硬盘、文档、表格。
linear: Linear：通过 GraphQL + curl 管理问题、项目、团队。
maps: 通过 OpenStreetMap/OSRM 进行地理编码、POI、路线、时区。
nano-pdf: 通过 nano-pdf CLI（自然语言提示）编辑 PDF 文本/拼写错误/标题。
notion: Notion API + ntn CLI：页面、数据库、Markdown、Workers。
ocr-and-documents: 从 PDF/扫描件中提取文本（pymupdf、marker-pdf）。
powerpoint: 创建、读取、编辑 .pptx 演示文稿、幻灯片、备注、模板。
teams-meeting-pipeline: 通过 Hermes CLI 操作 Teams 会议摘要管道...

red-teaming:
godmode: 越狱 LLM：Parseltongue、GODMODE、ULTRAPLINIAN。

research: 学术研究、论文发现、文献综述、领域侦察、市场数据、内容监控和科学知识检索的技能。
arxiv: 按关键词、作者、类别或 ID 搜索 arXiv 论文。
blogwatcher: 通过 blogwatcher-cli 工具监控博客和 RSS/Atom 源。
llm-wiki: Karpathy 的 LLM Wiki：构建/查询相互链接的 Markdown 知识库。
polymarket: 查询 Polymarket：市场、价格、订单簿、历史。

smart-home: 控制智能家居设备的技能 ------ 灯光、开关、传感器和家庭自动化系统。
openhue: 通过 OpenHue CLI 控制 Philips Hue 灯光、场景、房间。

software-development:
debugging-hermes-tui-commands: 调试 Hermes TUI 斜杠命令：Python、gateway、Ink UI。
hermes-agent-skill-authoring: 编写仓库内 SKILL.md：前置元数据、验证器、结构。
node-inspect-debugger: 通过 --inspect + Chrome DevTools 协议 CLI 调试 Node.js。
plan: 计划模式：将 Markdown 计划写入 .hermes/plans/，不执行。
requesting-code-review: 提交前审查：安全扫描、质量门禁、自动修复。
spike: 用于在正式构建前验证想法的临时实验。
subagent-driven-development: 通过 delegate_task 子智能体执行计划（两阶段审查）。
systematic-debugging: 4 阶段根本原因调试：在修复问题前先理解 bug。
test-driven-development: TDD：强制红-绿-重构，测试先行。
writing-plans: 编写实现计划：细粒度任务、路径、代码。

yuanbao:
yuanbao: 元宝（元宝）群组：@提及用户、查询信息/成员。

</available_skills>

只有在确实没有技能与任务相关时，才可以不加载技能直接继续。

主机：Windows (10)

用户主目录：C:\Users\

当前工作目录：C:\Users\

注意：在 Windows 上，机器的主机名（例如从 hostname 或 uname 获得）不是用户名。请使用上面的"用户主目录"来构造 C:\Users\<user>\ 下的路径，绝不使用主机名。

Shell：在此 Windows 主机上，你的 terminal 工具通过 bash（git-bash / MSYS） 运行命令，而不是 PowerShell 或 cmd.exe。在 terminal 调用中使用 POSIX shell 语法（ls、$HOME、&&、|、单引号字符串）。MSYS 风格的路径如 /c/Users/<user>/... 与原生 C:\Users\<user>\... 路径同样可用。PowerShell 内置命令（Get-ChildItem、$env:FOO、Select-String）无效 ------ 请使用对应的 POSIX 等效命令（ls、$FOO、grep）。

你是一个 CLI AI 智能体。尽量不使用 Markdown，而使用可在终端内渲染的纯文本。文件交付：没有附件通道 ------ 用户直接在其终端中阅读你的响应。不要发出 MEDIA:/path 这样的标签（这些标签只在 Telegram、Discord、Slack 等消息平台上会被拦截；在 CLI 上它们会呈现为纯文本）。当你提到自己创建或修改的文件时，只需以纯文本形式给出其绝对路径；用户可以从中打开它。

对话开始时间：2026 年 5 月 16 日星期六下午 04:33

模型：MFIN-YUNSHAN-APEX-ITT-Flash

提供者：custom

可知hermes系统提示词是很简介的，系统默认安装了74个Skill。

和之前AI工具比对，比较特殊的点：

当用户引用过往对话中的内容，或者你怀疑存在相关的跨会话上下文时，请先使用 session_search 回忆相关内容，再要求用户重复

由于hermes会保存每一次对话报文，因此如果涉及到之前的对话信息，会使用session_search工具来查询会议相关内容

2.在完成复杂任务（5 次以上工具调用）、修复棘手错误或发现非平凡的工作流后，使用 skill_manage 将该方法保存为技能，以便下次复用。

当使用某个技能时，如果发现它已过时、不完整或错误，立即使用 skill_manage(action='patch') 修补它 ------ 不要等到被要求。不维护的技能会成为负债。

完成复杂任务时，会自动创建保存skill,同时也会更新skill

claude-code: 将编码任务委派给 Claude Code CLI（功能开发、PR）。

系统提示词中的skill说明非常简洁

强化skill的能力，很多功能都是skill，包括hermes本身的功能说明，这里可以看一下hermes-agent这个skill的具体内容

name: hermes-agent

description: "Configure, extend, or contribute to Hermes Agent."

version: 2.1.0

author: Hermes Agent + Teknium

license: MIT

platforms: [linux, macos, windows]

metadata:

hermes:

tags: [hermes, setup, configuration, multi-agent, spawning, cli, gateway, development]

homepage: https://github.com/NousResearch/hermes-agent

related_skills: [claude-code, codex, opencode]

Hermes Agent

Hermes Agent is an open-source AI agent framework by Nous Research that runs in your terminal, messaging platforms, and IDEs. It belongs to the same category as Claude Code (Anthropic), Codex (OpenAI), and OpenClaw --- autonomous coding and task-execution agents that use tool calling to interact with your system. Hermes works with any LLM provider (OpenRouter, Anthropic, OpenAI, DeepSeek, local models, and 15+ others) and runs on Linux, macOS, and WSL.

What makes Hermes different:

Self-improving through skills --- Hermes learns from experience by saving reusable procedures as skills. When it solves a complex problem, discovers a workflow, or gets corrected, it can persist that knowledge as a skill document that loads into future sessions. Skills accumulate over time, making the agent better at your specific tasks and environment.
Persistent memory across sessions --- remembers who you are, your preferences, environment details, and lessons learned. Pluggable memory backends (built-in, Honcho, Mem0, and more) let you choose how memory works.
Multi-platform gateway --- the same agent runs on Telegram, Discord, Slack, WhatsApp, Signal, Matrix, Email, and 10+ other platforms with full tool access, not just chat.
Provider-agnostic --- swap models and providers mid-workflow without changing anything else. Credential pools rotate across multiple API keys automatically.
Profiles --- run multiple independent Hermes instances with isolated configs, sessions, skills, and memory.
Extensible --- plugins, MCP servers, custom tools, webhook triggers, cron scheduling, and the full Python ecosystem.

People use Hermes for software development, research, system administration, data analysis, content creation, home automation, and anything else that benefits from an AI agent with persistent context and full system access.

This skill helps you work with Hermes Agent effectively --- setting it up, configuring features, spawning additional agent instances, troubleshooting issues, finding the right commands and settings, and understanding how the system works when you need to extend or contribute to it.

Docs: https://hermes-agent.nousresearch.com/docs/

Quick Start

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# Install
curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash

# Interactive chat (default)
hermes

# Single query
hermes chat -q "What is the capital of France?"

# Setup wizard
hermes setup

# Change model/provider
hermes model

# Check health
hermes doctor

CLI Reference

Global Flags

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hermes [flags] [command]

  --version, -V             Show version
  --resume, -r SESSION      Resume session by ID or title
  --continue, -c [NAME]     Resume by name, or most recent session
  --worktree, -w            Isolated git worktree mode (parallel agents)
  --skills, -s SKILL        Preload skills (comma-separate or repeat)
  --profile, -p NAME        Use a named profile
  --yolo                    Skip dangerous command approval
  --pass-session-id         Include session ID in system prompt

No subcommand defaults to chat.

Chat

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hermes chat [flags]
  -q, --query TEXT          Single query, non-interactive
  -m, --model MODEL         Model (e.g. anthropic/claude-sonnet-4)
  -t, --toolsets LIST       Comma-separated toolsets
  --provider PROVIDER       Force provider (openrouter, anthropic, nous, etc.)
  -v, --verbose             Verbose output
  -Q, --quiet               Suppress banner, spinner, tool previews
  --checkpoints             Enable filesystem checkpoints (/rollback)
  --source TAG              Session source tag (default: cli)

Configuration

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hermes setup [section]      Interactive wizard (model|terminal|gateway|tools|agent)
hermes model                Interactive model/provider picker
hermes config               View current config
hermes config edit          Open config.yaml in $EDITOR
hermes config set KEY VAL   Set a config value
hermes config path          Print config.yaml path
hermes config env-path      Print .env path
hermes config check         Check for missing/outdated config
hermes config migrate       Update config with new options
hermes login [--provider P] OAuth login (nous, openai-codex)
hermes logout               Clear stored auth
hermes doctor [--fix]       Check dependencies and config
hermes status [--all]       Show component status

Tools & Skills

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hermes tools                Interactive tool enable/disable (curses UI)
hermes tools list           Show all tools and status
hermes tools enable NAME    Enable a toolset
hermes tools disable NAME   Disable a toolset

hermes skills list          List installed skills
hermes skills search QUERY  Search the skills hub
hermes skills install ID    Install a skill (ID can be a hub identifier OR a direct https://.../SKILL.md URL; pass --name to override when frontmatter has no name)
hermes skills inspect ID    Preview without installing
hermes skills config        Enable/disable skills per platform
hermes skills check         Check for updates
hermes skills update        Update outdated skills
hermes skills uninstall N   Remove a hub skill
hermes skills publish PATH  Publish to registry
hermes skills browse        Browse all available skills
hermes skills tap add REPO  Add a GitHub repo as skill source

MCP Servers

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hermes mcp serve            Run Hermes as an MCP server
hermes mcp add NAME         Add an MCP server (--url or --command)
hermes mcp remove NAME      Remove an MCP server
hermes mcp list             List configured servers
hermes mcp test NAME        Test connection
hermes mcp configure NAME   Toggle tool selection

Gateway (Messaging Platforms)

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hermes gateway run          Start gateway foreground
hermes gateway install      Install as background service
hermes gateway start/stop   Control the service
hermes gateway restart      Restart the service
hermes gateway status       Check status
hermes gateway setup        Configure platforms

Supported platforms: Telegram, Discord, Slack, WhatsApp, Signal, Email, SMS, Matrix, Mattermost, Home Assistant, DingTalk, Feishu, WeCom, BlueBubbles (iMessage), Weixin (WeChat), API Server, Webhooks. Open WebUI connects via the API Server adapter.

Platform docs: https://hermes-agent.nousresearch.com/docs/user-guide/messaging/

Sessions

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hermes sessions list        List recent sessions
hermes sessions browse      Interactive picker
hermes sessions export OUT  Export to JSONL
hermes sessions rename ID T Rename a session
hermes sessions delete ID   Delete a session
hermes sessions prune       Clean up old sessions (--older-than N days)
hermes sessions stats       Session store statistics

Cron Jobs

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hermes cron list            List jobs (--all for disabled)
hermes cron create SCHED    Create: '30m', 'every 2h', '0 9 * * *'
hermes cron edit ID         Edit schedule, prompt, delivery
hermes cron pause/resume ID Control job state
hermes cron run ID          Trigger on next tick
hermes cron remove ID       Delete a job
hermes cron status          Scheduler status

Webhooks

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hermes webhook subscribe N  Create route at /webhooks/<name>
hermes webhook list         List subscriptions
hermes webhook remove NAME  Remove a subscription
hermes webhook test NAME    Send a test POST

Profiles

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hermes profile list         List all profiles
hermes profile create NAME  Create (--clone, --clone-all, --clone-from)
hermes profile use NAME     Set sticky default
hermes profile delete NAME  Delete a profile
hermes profile show NAME    Show details
hermes profile alias NAME   Manage wrapper scripts
hermes profile rename A B   Rename a profile
hermes profile export NAME  Export to tar.gz
hermes profile import FILE  Import from archive

Credential Pools

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hermes auth add             Interactive credential wizard
hermes auth list [PROVIDER] List pooled credentials
hermes auth remove P INDEX  Remove by provider + index
hermes auth reset PROVIDER  Clear exhaustion status

Other

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hermes insights [--days N]  Usage analytics
hermes update               Update to latest version
hermes pairing list/approve/revoke  DM authorization
hermes plugins list/install/remove  Plugin management
hermes honcho setup/status  Honcho memory integration (requires honcho plugin)
hermes memory setup/status/off  Memory provider config
hermes completion bash|zsh  Shell completions
hermes acp                  ACP server (IDE integration)
hermes claw migrate         Migrate from OpenClaw
hermes uninstall            Uninstall Hermes

Slash Commands (In-Session)

Type these during an interactive chat session. New commands land fairly

often; if something below looks stale, run /help in-session for the

authoritative list or see the live slash commands reference.

The registry of record is hermes_cli/commands.py --- every consumer

(autocomplete, Telegram menu, Slack mapping, /help) derives from it.

Session Control

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/new (/reset)        Fresh session
/clear               Clear screen + new session (CLI)
/retry               Resend last message
/undo                Remove last exchange
/title [name]        Name the session
/compress            Manually compress context
/stop                Kill background processes
/rollback [N]        Restore filesystem checkpoint
/snapshot [sub]      Create or restore state snapshots of Hermes config/state (CLI)
/background <prompt> Run prompt in background
/queue <prompt>      Queue for next turn
/steer <prompt>      Inject a message after the next tool call without interrupting
/agents (/tasks)     Show active agents and running tasks
/resume [name]       Resume a named session
/goal [text|sub]     Set a standing goal Hermes works on across turns until achieved
                     (subcommands: status, pause, resume, clear)
/redraw              Force a full UI repaint (CLI)

Configuration

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/config              Show config (CLI)
/model [name]        Show or change model
/personality [name]  Set personality
/reasoning [level]   Set reasoning (none|minimal|low|medium|high|xhigh|show|hide)
/verbose             Cycle: off → new → all → verbose
/voice [on|off|tts]  Voice mode
/yolo                Toggle approval bypass
/busy [sub]          Control what Enter does while Hermes is working (CLI)
                     (subcommands: queue, steer, interrupt, status)
/indicator [style]   Pick the TUI busy-indicator style (CLI)
                     (styles: kaomoji, emoji, unicode, ascii)
/footer [on|off]     Toggle gateway runtime-metadata footer on final replies
/skin [name]         Change theme (CLI)
/statusbar           Toggle status bar (CLI)

Tools & Skills

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/tools               Manage tools (CLI)
/toolsets            List toolsets (CLI)
/skills              Search/install skills (CLI)
/skill <name>        Load a skill into session
/reload-skills       Re-scan ~/.hermes/skills/ for added/removed skills
/reload              Reload .env variables into the running session (CLI)
/reload-mcp          Reload MCP servers
/cron                Manage cron jobs (CLI)
/curator [sub]       Background skill maintenance (status, run, pin, archive, ...)
/kanban [sub]        Multi-profile collaboration board (tasks, links, comments)
/plugins             List plugins (CLI)

Gateway

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/approve             Approve a pending command (gateway)
/deny                Deny a pending command (gateway)
/restart             Restart gateway (gateway)
/sethome             Set current chat as home channel (gateway)
/update              Update Hermes to latest (gateway)
/topic [sub]         Enable or inspect Telegram DM topic sessions (gateway)
/platforms (/gateway) Show platform connection status (gateway)

Utility

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/branch (/fork)      Branch the current session
/fast                Toggle priority/fast processing
/browser             Open CDP browser connection
/history             Show conversation history (CLI)
/save                Save conversation to file (CLI)
/copy [N]            Copy the last assistant response to clipboard (CLI)
/paste               Attach clipboard image (CLI)
/image               Attach local image file (CLI)

Info

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/help                Show commands
/commands [page]     Browse all commands (gateway)
/usage               Token usage
/insights [days]     Usage analytics
/gquota              Show Google Gemini Code Assist quota usage (CLI)
/status              Session info (gateway)
/profile             Active profile info
/debug               Upload debug report (system info + logs) and get shareable links

Exit

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/quit (/exit, /q)    Exit CLI

Key Paths & Config

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~/.hermes/config.yaml       Main configuration
~/.hermes/.env              API keys and secrets
$HERMES_HOME/skills/        Installed skills
~/.hermes/sessions/         Session transcripts
~/.hermes/logs/             Gateway and error logs
~/.hermes/auth.json         OAuth tokens and credential pools
~/.hermes/hermes-agent/     Source code (if git-installed)

Profiles use ~/.hermes/profiles/<name>/ with the same layout.

Config Sections

Edit with hermes config edit or hermes config set section.key value.

Section	Key options
`model`	`default`, `provider`, `base_url`, `api_key`, `context_length`
`agent`	`max_turns` (90), `tool_use_enforcement`
`terminal`	`backend` (local/docker/ssh/modal), `cwd`, `timeout` (180)
`compression`	`enabled`, `threshold` (0.50), `target_ratio` (0.20)
`display`	`skin`, `tool_progress`, `show_reasoning`, `show_cost`
`stt`	`enabled`, `provider` (local/groq/openai/mistral)
`tts`	`provider` (edge/elevenlabs/openai/minimax/mistral/neutts)
`memory`	`memory_enabled`, `user_profile_enabled`, `provider`
`security`	`tirith_enabled`, `website_blocklist`
`delegation`	`model`, `provider`, `base_url`, `api_key`, `max_iterations` (50), `reasoning_effort`
`checkpoints`	`enabled`, `max_snapshots` (50)

Full config reference: https://hermes-agent.nousresearch.com/docs/user-guide/configuration

Providers

20+ providers supported. Set via hermes model or hermes setup.

Provider	Auth	Key env var
OpenRouter	API key	`OPENROUTER_API_KEY`
Anthropic	API key	`ANTHROPIC_API_KEY`
Nous Portal	OAuth	`hermes auth`
OpenAI Codex	OAuth	`hermes auth`
GitHub Copilot	Token	`COPILOT_GITHUB_TOKEN`
Google Gemini	API key	`GOOGLE_API_KEY` or `GEMINI_API_KEY`
DeepSeek	API key	`DEEPSEEK_API_KEY`
xAI / Grok	API key	`XAI_API_KEY`
Hugging Face	Token	`HF_TOKEN`
Z.AI / GLM	API key	`GLM_API_KEY`
MiniMax	API key	`MINIMAX_API_KEY`
MiniMax CN	API key	`MINIMAX_CN_API_KEY`
Kimi / Moonshot	API key	`KIMI_API_KEY`
Alibaba / DashScope	API key	`DASHSCOPE_API_KEY`
Xiaomi MiMo	API key	`XIAOMI_API_KEY`
Kilo Code	API key	`KILOCODE_API_KEY`
AI Gateway (Vercel)	API key	`AI_GATEWAY_API_KEY`
OpenCode Zen	API key	`OPENCODE_ZEN_API_KEY`
OpenCode Go	API key	`OPENCODE_GO_API_KEY`
Qwen OAuth	OAuth	`hermes login --provider qwen-oauth`
Custom endpoint	Config	`model.base_url` + `model.api_key` in config.yaml
GitHub Copilot ACP	External	`COPILOT_CLI_PATH` or Copilot CLI

Full provider docs: https://hermes-agent.nousresearch.com/docs/integrations/providers

Toolsets

Enable/disable via hermes tools (interactive) or hermes tools enable/disable NAME.

Toolset	What it provides
`web`	Web search and content extraction
`search`	Web search only (subset of `web`)
`browser`	Browser automation (Browserbase, Camofox, or local Chromium)
`terminal`	Shell commands and process management
`file`	File read/write/search/patch
`code_execution`	Sandboxed Python execution
`vision`	Image analysis
`image_gen`	AI image generation
`video`	Video analysis and generation
`tts`	Text-to-speech
`skills`	Skill browsing and management
`memory`	Persistent cross-session memory
`session_search`	Search past conversations
`delegation`	Subagent task delegation
`cronjob`	Scheduled task management
`clarify`	Ask user clarifying questions
`messaging`	Cross-platform message sending
`todo`	In-session task planning and tracking
`kanban`	Multi-agent work-queue tools (gated to workers)
`debugging`	Extra introspection/debug tools (off by default)
`safe`	Minimal, low-risk toolset for locked-down sessions
`spotify`	Spotify playback and playlist control
`homeassistant`	Smart home control (off by default)
`discord`	Discord integration tools
`discord_admin`	Discord admin/moderation tools
`feishu_doc`	Feishu (Lark) document tools
`feishu_drive`	Feishu (Lark) drive tools
`yuanbao`	Yuanbao integration tools
`rl`	Reinforcement learning tools (off by default)
`moa`	Mixture of Agents (off by default)

Full enumeration lives in toolsets.py as the TOOLSETS dict; _HERMES_CORE_TOOLS is the default bundle most platforms inherit from.

Tool changes take effect on /reset (new session). They do NOT apply mid-conversation to preserve prompt caching.

Security & Privacy Toggles

Common "why is Hermes doing X to my output / tool calls / commands?" toggles --- and the exact commands to change them. Most of these need a fresh session (/reset in chat, or start a new hermes invocation) because they're read once at startup.

Secret redaction in tool output

Secret redaction is off by default --- tool output (terminal stdout, read_file, web content, subagent summaries, etc.) passes through unmodified. If the user wants Hermes to auto-mask strings that look like API keys, tokens, and secrets before they enter the conversation context and logs:

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hermes config set security.redact_secrets true       # enable globally

Restart required. security.redact_secrets is snapshotted at import time --- toggling it mid-session (e.g. via export HERMES_REDACT_SECRETS=true from a tool call) will NOT take effect for the running process. Tell the user to run hermes config set security.redact_secrets true in a terminal, then start a new session. This is deliberate --- it prevents an LLM from flipping the toggle on itself mid-task.

Disable again with:

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hermes config set security.redact_secrets false

PII redaction in gateway messages

Separate from secret redaction. When enabled, the gateway hashes user IDs and strips phone numbers from the session context before it reaches the model:

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hermes config set privacy.redact_pii true    # enable
hermes config set privacy.redact_pii false   # disable (default)

Command approval prompts

By default (approvals.mode: manual), Hermes prompts the user before running shell commands flagged as destructive (rm -rf, git reset --hard, etc.). The modes are:

manual --- always prompt (default)
smart --- use an auxiliary LLM to auto-approve low-risk commands, prompt on high-risk
off --- skip all approval prompts (equivalent to --yolo)

hermes config set approvals.mode smart # recommended middle ground
hermes config set approvals.mode off # bypass everything (not recommended)

Per-invocation bypass without changing config:

hermes --yolo ...
export HERMES_YOLO_MODE=1

Note: YOLO / approvals.mode: off does NOT turn off secret redaction. They are independent.

Shell hooks allowlist

Some shell-hook integrations require explicit allowlisting before they fire. Managed via ~/.hermes/shell-hooks-allowlist.json --- prompted interactively the first time a hook wants to run.

Disabling the web/browser/image-gen tools

To keep the model away from network or media tools entirely, open hermes tools and toggle per-platform. Takes effect on next session (/reset). See the Tools & Skills section above.

Voice & Transcription

STT (Voice → Text)

Voice messages from messaging platforms are auto-transcribed.

Provider priority (auto-detected):

Local faster-whisper --- free, no API key: pip install faster-whisper
Groq Whisper --- free tier: set GROQ_API_KEY
OpenAI Whisper --- paid: set VOICE_TOOLS_OPENAI_KEY
Mistral Voxtral --- set MISTRAL_API_KEY

Config:

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stt:
  enabled: true
  provider: local        # local, groq, openai, mistral
  local:
    model: base          # tiny, base, small, medium, large-v3

TTS (Text → Voice)

Provider	Env var	Free?
Edge TTS	None	Yes (default)
ElevenLabs	`ELEVENLABS_API_KEY`	Free tier
OpenAI	`VOICE_TOOLS_OPENAI_KEY`	Paid
MiniMax	`MINIMAX_API_KEY`	Paid
Mistral (Voxtral)	`MISTRAL_API_KEY`	Paid
NeuTTS (local)	None (`pip install neutts[all]` + `espeak-ng`)	Free

Voice commands: /voice on (voice-to-voice), /voice tts (always voice), /voice off.

Spawning Additional Hermes Instances

Run additional Hermes processes as fully independent subprocesses --- separate sessions, tools, and environments.

When to Use This vs delegate_task

	`delegate_task`	Spawning `hermes` process
Isolation	Separate conversation, shared process	Fully independent process
Duration	Minutes (bounded by parent loop)	Hours/days
Tool access	Subset of parent's tools	Full tool access
Interactive	No	Yes (PTY mode)
Use case	Quick parallel subtasks	Long autonomous missions

One-Shot Mode

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terminal(command="hermes chat -q 'Research GRPO papers and write summary to ~/research/grpo.md'", timeout=300)

# Background for long tasks:
terminal(command="hermes chat -q 'Set up CI/CD for ~/myapp'", background=true)

Interactive PTY Mode (via tmux)

Hermes uses prompt_toolkit, which requires a real terminal. Use tmux for interactive spawning:

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# Start
terminal(command="tmux new-session -d -s agent1 -x 120 -y 40 'hermes'", timeout=10)

# Wait for startup, then send a message
terminal(command="sleep 8 && tmux send-keys -t agent1 'Build a FastAPI auth service' Enter", timeout=15)

# Read output
terminal(command="sleep 20 && tmux capture-pane -t agent1 -p", timeout=5)

# Send follow-up
terminal(command="tmux send-keys -t agent1 'Add rate limiting middleware' Enter", timeout=5)

# Exit
terminal(command="tmux send-keys -t agent1 '/exit' Enter && sleep 2 && tmux kill-session -t agent1", timeout=10)

Multi-Agent Coordination

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# Agent A: backend
terminal(command="tmux new-session -d -s backend -x 120 -y 40 'hermes -w'", timeout=10)
terminal(command="sleep 8 && tmux send-keys -t backend 'Build REST API for user management' Enter", timeout=15)

# Agent B: frontend
terminal(command="tmux new-session -d -s frontend -x 120 -y 40 'hermes -w'", timeout=10)
terminal(command="sleep 8 && tmux send-keys -t frontend 'Build React dashboard for user management' Enter", timeout=15)

# Check progress, relay context between them
terminal(command="tmux capture-pane -t backend -p | tail -30", timeout=5)
terminal(command="tmux send-keys -t frontend 'Here is the API schema from the backend agent: ...' Enter", timeout=5)

Session Resume

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# Resume most recent session
terminal(command="tmux new-session -d -s resumed 'hermes --continue'", timeout=10)

# Resume specific session
terminal(command="tmux new-session -d -s resumed 'hermes --resume 20260225_143052_a1b2c3'", timeout=10)

Tips

Prefer delegate_task for quick subtasks --- less overhead than spawning a full process
Use -w (worktree mode) when spawning agents that edit code --- prevents git conflicts
Set timeouts for one-shot mode --- complex tasks can take 5-10 minutes
Use hermes chat -q for fire-and-forget --- no PTY needed
Use tmux for interactive sessions --- raw PTY mode has \r vs \n issues with prompt_toolkit
For scheduled tasks , use the cronjob tool instead of spawning --- handles delivery and retry

Durable & Background Systems

Four systems run alongside the main conversation loop. Quick reference

here; full developer notes live in AGENTS.md, user-facing docs under
website/docs/user-guide/features/.

Delegation (`delegate_task`)

Synchronous subagent spawn --- the parent waits for the child's summary

before continuing its own loop. Isolated context + terminal session.

Single: delegate_task(goal, context, toolsets).
Batch: delegate_task(tasks=[{goal, ...}, ...]) runs children in
parallel, capped by delegation.max_concurrent_children (default 3).
Roles: leaf (default; cannot re-delegate) vs orchestrator
(can spawn its own workers, bounded by delegation.max_spawn_depth).
Not durable. If the parent is interrupted, the child is
cancelled. For work that must outlive the turn, use cronjob or
terminal(background=True, notify_on_complete=True).

Config: delegation.* in config.yaml.

Cron (scheduled jobs)

Durable scheduler --- cron/jobs.py + cron/scheduler.py. Drive it via

the cronjob tool, the hermes cron CLI (list, add, edit,
pause, resume, run, remove), or the /cron slash command.

Schedules: duration ("30m", "2h"), "every" phrase
("every monday 9am"), 5-field cron ("0 9 * * *"), or ISO timestamp.
Per-job knobs: skills, model/provider override, script
(pre-run data collection; no_agent=True makes the script the whole
job), context_from (chain job A's output into job B), workdir
(run in a specific dir with its AGENTS.md / CLAUDE.md loaded),
multi-platform delivery.
Invariants: 3-minute hard interrupt per run, .tick.lock file
prevents duplicate ticks across processes, cron sessions pass
skip_memory=True by default, and cron deliveries are framed with a
header/footer instead of being mirrored into the target gateway
session (keeps role alternation intact).

User docs: https://hermes-agent.nousresearch.com/docs/user-guide/features/cron

Curator (skill lifecycle)

Background maintenance for agent-created skills. Tracks usage, marks

idle skills stale, archives stale ones, keeps a pre-run tar.gz backup

so nothing is lost.

CLI: hermes curator <verb> --- status, run, pause, resume,
pin, unpin, archive, restore, prune, backup, rollback.
Slash: /curator <subcommand> mirrors the CLI.
Scope: only touches skills with created_by: "agent" provenance.
Bundled + hub-installed skills are off-limits. Never deletes ---
max destructive action is archive. Pinned skills are exempt from
every auto-transition and every LLM review pass.
Telemetry: sidecar at ~/.hermes/skills/.usage.json holds
per-skill use_count, view_count, patch_count,
last_activity_at, state, pinned.

Config: curator.* (enabled, interval_hours, min_idle_hours,
stale_after_days, archive_after_days, backup.*).

User docs: https://hermes-agent.nousresearch.com/docs/user-guide/features/curator

Kanban (multi-agent work queue)

Durable SQLite board for multi-profile / multi-worker collaboration.

Users drive it via hermes kanban <verb>; dispatcher-spawned workers

see a focused kanban_* toolset gated by HERMES_KANBAN_TASK so the

schema footprint is zero outside worker processes.

CLI verbs (common): init, create, list (alias ls),
show, assign, link, unlink, comment, complete, block,
unblock, archive, tail. Less common: watch, stats, runs,
log, dispatch, daemon, gc.
Worker toolset: kanban_show, kanban_complete, kanban_block,
kanban_heartbeat, kanban_comment, kanban_create, kanban_link.
Dispatcher runs inside the gateway by default
(kanban.dispatch_in_gateway: true) --- reclaims stale claims,
promotes ready tasks, atomically claims, spawns assigned profiles.
Auto-blocks a task after ~5 consecutive spawn failures.
Isolation: board is the hard boundary (workers get
HERMES_KANBAN_BOARD pinned in env); tenant is a soft namespace
within a board for workspace-path + memory-key isolation.

User docs: https://hermes-agent.nousresearch.com/docs/user-guide/features/kanban

Windows-Specific Quirks

Hermes runs natively on Windows (PowerShell, cmd, Windows Terminal, git-bash

mintty, VS Code integrated terminal). Most of it just works, but a handful

of differences between Win32 and POSIX have bitten us --- document new ones

here as you hit them so the next person (or the next session) doesn't

rediscover them from scratch.

Input / Keybindings

Alt+Enter doesn't insert a newline. Windows Terminal intercepts Alt+Enter

at the terminal layer to toggle fullscreen --- the keystroke never reaches

prompt_toolkit. Use Ctrl+Enter instead. Windows Terminal delivers

Ctrl+Enter as LF (c-j), distinct from plain Enter (c-m / CR), and the

CLI binds c-j to newline insertion on win32 only (see
_bind_prompt_submit_keys + the Windows-only c-j binding in cli.py).

Side effect: the raw Ctrl+J keystroke also inserts a newline on Windows ---

unavoidable, because Windows Terminal collapses Ctrl+Enter and Ctrl+J to

the same keycode at the Win32 console API layer. No conflicting binding

existed for Ctrl+J on Windows, so this is a harmless side effect.

mintty / git-bash behaves the same (fullscreen on Alt+Enter) unless you

disable Alt+Fn shortcuts in Options → Keys. Easier to just use Ctrl+Enter.

Diagnosing keybindings. Run python scripts/keystroke_diagnostic.py

(repo root) to see exactly how prompt_toolkit identifies each keystroke

in the current terminal. Answers questions like "does Shift+Enter come

through as a distinct key?" (almost never --- most terminals collapse it

to plain Enter) or "what byte sequence is my terminal sending for

Ctrl+Enter?" This is how the Ctrl+Enter = c-j fact was established.

Config / Files

HTTP 400 "No models provided" on first run. config.yaml was saved

with a UTF-8 BOM (common when Windows apps write it). Re-save as UTF-8

without BOM. hermes config edit writes without BOM; manual edits in

Notepad are the usual culprit.

`execute_code` / Sandbox

WinError 10106 ("The requested service provider could not be loaded

or initialized") from the sandbox child process --- it can't create an
AF_INET socket, so the loopback-TCP RPC fallback fails before
connect(). Root cause is usually not a broken Winsock LSP; it's

Hermes's own env scrubber dropping SYSTEMROOT / WINDIR / COMSPEC

from the child env. Python's socket module needs SYSTEMROOT to locate
mswsock.dll. Fixed via the _WINDOWS_ESSENTIAL_ENV_VARS allowlist in
tools/code_execution_tool.py. If you still hit it, echo os.environ

inside an execute_code block to confirm SYSTEMROOT is set. Full

diagnostic recipe in references/execute-code-sandbox-env-windows.md.

Testing / Contributing

scripts/run_tests.sh doesn't work as-is on Windows --- it looks for

POSIX venv layouts (.venv/bin/activate). The Hermes-installed venv at
venv/Scripts/ has no pip or pytest either (stripped for install size).

Workaround: install pytest + pytest-xdist + pyyaml into a system Python

3.11 user site, then invoke pytest directly with PYTHONPATH set:

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"/c/Program Files/Python311/python" -m pip install --user pytest pytest-xdist pyyaml
export PYTHONPATH="$(pwd)"
"/c/Program Files/Python311/python" -m pytest tests/foo/test_bar.py -v --tb=short -n 0

Use -n 0, not -n 4 --- pyproject.toml's default addopts already

includes -n, and the wrapper's CI-parity guarantees don't apply off POSIX.

POSIX-only tests need skip guards. Common markers already in the codebase:

Symlinks --- elevated privileges on Windows
0o600 file modes --- POSIX mode bits not enforced on NTFS by default
signal.SIGALRM --- Unix-only (see tests/conftest.py::_enforce_test_timeout)
Winsock / Windows-specific regressions --- @pytest.mark.skipif(sys.platform != "win32", ...)

Use the existing skip-pattern style (sys.platform == "win32" or
sys.platform.startswith("win")) to stay consistent with the rest of the

suite.

Path / Filesystem

Line endings. Git may warn LF will be replaced by CRLF the next time Git touches it. Cosmetic --- the repo's .gitattributes normalizes. Don't

let editors auto-convert committed POSIX-newline files to CRLF.

Forward slashes work almost everywhere. C:/Users/... is accepted by

every Hermes tool and most Windows APIs. Prefer forward slashes in code

and logs --- avoids shell-escaping backslashes in bash.

Troubleshooting

Voice not working

Check stt.enabled: true in config.yaml
Verify provider: pip install faster-whisper or set API key
In gateway: /restart. In CLI: exit and relaunch.

Tool not available

hermes tools --- check if toolset is enabled for your platform
Some tools need env vars (check .env)
/reset after enabling tools

Model/provider issues

hermes doctor --- check config and dependencies
hermes login --- re-authenticate OAuth providers
Check .env has the right API key
Copilot 403 : gh auth login tokens do NOT work for Copilot API. You must use the Copilot-specific OAuth device code flow via hermes model → GitHub Copilot.

Changes not taking effect

Tools/skills: /reset starts a new session with updated toolset
Config changes: In gateway: /restart. In CLI: exit and relaunch.
Code changes: Restart the CLI or gateway process

Skills not showing

hermes skills list --- verify installed
hermes skills config --- check platform enablement
Load explicitly: /skill name or hermes -s name

Gateway issues

Check logs first:

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grep -i "failed to send\|error" ~/.hermes/logs/gateway.log | tail -20

Common gateway problems:

Gateway dies on SSH logout : Enable linger: sudo loginctl enable-linger $USER
Gateway dies on WSL2 close : WSL2 requires systemd=true in /etc/wsl.conf for systemd services to work. Without it, gateway falls back to nohup (dies when session closes).
Gateway crash loop : Reset the failed state: systemctl --user reset-failed hermes-gateway

Platform-specific issues

Discord bot silent : Must enable Message Content Intent in Bot → Privileged Gateway Intents.
Slack bot only works in DMs : Must subscribe to message.channels event. Without it, the bot ignores public channels.
Windows-specific issues (Alt+Enter newline, WinError 10106, UTF-8 BOM config, test suite, line endings): see the dedicated Windows-Specific Quirks section above.

Auxiliary models not working

If auxiliary tasks (vision, compression, session_search) fail silently, the auto provider can't find a backend. Either set OPENROUTER_API_KEY or GOOGLE_API_KEY, or explicitly configure each auxiliary task's provider:

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hermes config set auxiliary.vision.provider <your_provider>
hermes config set auxiliary.vision.model <model_name>

Where to Find Things

Looking for...	Location
Config options	`hermes config edit` or Configuration docs
Available tools	`hermes tools list` or Tools reference
Slash commands	`/help` in session or Slash commands reference
Skills catalog	`hermes skills browse` or Skills catalog
Provider setup	`hermes model` or Providers guide
Platform setup	`hermes gateway setup` or Messaging docs
MCP servers	`hermes mcp list` or MCP guide
Profiles	`hermes profile list` or Profiles docs
Cron jobs	`hermes cron list` or Cron docs
Memory	`hermes memory status` or Memory docs
Env variables	`hermes config env-path` or Env vars reference
CLI commands	`hermes --help` or CLI reference
Gateway logs	`~/.hermes/logs/gateway.log`
Session files	`~/.hermes/sessions/` or `hermes sessions browse`
Source code	`~/.hermes/hermes-agent/`

Contributor Quick Reference

For occasional contributors and PR authors. Full developer docs: https://hermes-agent.nousresearch.com/docs/developer-guide/

Project Layout

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hermes-agent/
├── run_agent.py          # AIAgent --- core conversation loop
├── model_tools.py        # Tool discovery and dispatch
├── toolsets.py           # Toolset definitions
├── cli.py                # Interactive CLI (HermesCLI)
├── hermes_state.py       # SQLite session store
├── agent/                # Prompt builder, context compression, memory, model routing, credential pooling, skill dispatch
├── hermes_cli/           # CLI subcommands, config, setup, commands
│   ├── commands.py       # Slash command registry (CommandDef)
│   ├── config.py         # DEFAULT_CONFIG, env var definitions
│   └── main.py           # CLI entry point and argparse
├── tools/                # One file per tool
│   └── registry.py       # Central tool registry
├── gateway/              # Messaging gateway
│   └── platforms/        # Platform adapters (telegram, discord, etc.)
├── cron/                 # Job scheduler
├── tests/                # ~3000 pytest tests
└── website/              # Docusaurus docs site

Config: ~/.hermes/config.yaml (settings), ~/.hermes/.env (API keys).

Adding a Tool (3 files)

1. Create tools/your_tool.py:

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import json, os
from tools.registry import registry

def check_requirements() -> bool:
    return bool(os.getenv("EXAMPLE_API_KEY"))

def example_tool(param: str, task_id: str = None) -> str:
    return json.dumps({"success": True, "data": "..."})

registry.register(
    name="example_tool",
    toolset="example",
    schema={"name": "example_tool", "description": "...", "parameters": {...}},
    handler=lambda args, **kw: example_tool(
        param=args.get("param", ""), task_id=kw.get("task_id")),
    check_fn=check_requirements,
    requires_env=["EXAMPLE_API_KEY"],
)

2. Add to toolsets.py → _HERMES_CORE_TOOLS list.

Auto-discovery: any tools/*.py file with a top-level registry.register() call is imported automatically --- no manual list needed.

All handlers must return JSON strings. Use get_hermes_home() for paths, never hardcode ~/.hermes.

Adding a Slash Command

Add CommandDef to COMMAND_REGISTRY in hermes_cli/commands.py
Add handler in cli.py → process_command()
(Optional) Add gateway handler in gateway/run.py

All consumers (help text, autocomplete, Telegram menu, Slack mapping) derive from the central registry automatically.

Agent Loop (High Level)

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run_conversation():
  1. Build system prompt
  2. Loop while iterations < max:
     a. Call LLM (OpenAI-format messages + tool schemas)
     b. If tool_calls → dispatch each via handle_function_call() → append results → continue
     c. If text response → return
  3. Context compression triggers automatically near token limit

Testing

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python -m pytest tests/ -o 'addopts=' -q   # Full suite
python -m pytest tests/tools/ -q            # Specific area

Tests auto-redirect HERMES_HOME to temp dirs --- never touch real ~/.hermes/
Run full suite before pushing any change
Use -o 'addopts=' to clear any baked-in pytest flags

Windows contributors: scripts/run_tests.sh currently looks for POSIX venvs (.venv/bin/activate / venv/bin/activate) and will error out on Windows where the layout is venv/Scripts/activate + python.exe. The Hermes-installed venv at venv/Scripts/ also has no pip or pytest --- it's stripped for end-user install size. Workaround: install pytest + pytest-xdist + pyyaml into a system Python 3.11 user site (/c/Program Files/Python311/python -m pip install --user pytest pytest-xdist pyyaml), then run tests directly:

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export PYTHONPATH="$(pwd)"
"/c/Program Files/Python311/python" -m pytest tests/tools/test_foo.py -v --tb=short -n 0

Use -n 0 (not -n 4) because pyproject.toml's default addopts already includes -n, and the wrapper's CI-parity story doesn't apply off-POSIX.

Cross-platform test guards: tests that use POSIX-only syscalls need a skip marker. Common ones already in the codebase:

Symlink creation → @pytest.mark.skipif(sys.platform == "win32", reason="Symlinks require elevated privileges on Windows") (see tests/cron/test_cron_script.py)
POSIX file modes (0o600, etc.) → @pytest.mark.skipif(sys.platform.startswith("win"), reason="POSIX mode bits not enforced on Windows") (see tests/hermes_cli/test_auth_toctou_file_modes.py)
signal.SIGALRM → Unix-only (see tests/conftest.py::_enforce_test_timeout)
Live Winsock / Windows-specific regression tests → @pytest.mark.skipif(sys.platform != "win32", reason="Windows-specific regression")

Monkeypatching sys.platform is not enough when the code under test also calls platform.system() / platform.release() / platform.mac_ver(). Those functions re-read the real OS independently, so a test that sets sys.platform = "linux" on a Windows runner will still see platform.system() == "Windows" and route through the Windows branch. Patch all three together:

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monkeypatch.setattr(sys, "platform", "linux")
monkeypatch.setattr(platform, "system", lambda: "Linux")
monkeypatch.setattr(platform, "release", lambda: "6.8.0-generic")

See tests/agent/test_prompt_builder.py::TestEnvironmentHints for a worked example.

Extending the system prompt's execution-environment block

Factual guidance about the host OS, user home, cwd, terminal backend, and shell (bash vs. PowerShell on Windows) is emitted from agent/prompt_builder.py::build_environment_hints(). This is also where the WSL hint and per-backend probe logic live. The convention:

Local terminal backend → emit host info (OS, $HOME, cwd) + Windows-specific notes (hostname ≠ username, terminal uses bash not PowerShell).
Remote terminal backend (anything in _REMOTE_TERMINAL_BACKENDS: docker, singularity, modal, daytona, ssh, vercel_sandbox, managed_modal) → suppress host info entirely and describe only the backend. A live uname/whoami/pwd probe runs inside the backend via tools.environments.get_environment(...).execute(...), cached per process in _BACKEND_PROBE_CACHE, with a static fallback if the probe times out.
Key fact for prompt authoring: when TERMINAL_ENV != "local", every file tool (read_file, write_file, patch, search_files) runs inside the backend container, not on the host. The system prompt must never describe the host in that case --- the agent can't touch it.

Full design notes, the exact emitted strings, and testing pitfalls:
references/prompt-builder-environment-hints.md.

Refactor-safety pattern (POSIX-equivalence guard): when you extract inline logic into a helper that adds Windows/platform-specific behavior, keep a _legacy_<name> oracle function in the test file that's a verbatim copy of the old code, then parametrize-diff against it. Example: tests/tools/test_code_execution_windows_env.py::TestPosixEquivalence. This locks in the invariant that POSIX behavior is bit-for-bit identical and makes any future drift fail loudly with a clear diff.

Commit Conventions

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type: concise subject line

Optional body.

Types: fix:, feat:, refactor:, docs:, chore:

Key Rules

Never break prompt caching --- don't change context, tools, or system prompt mid-conversation
Message role alternation --- never two assistant or two user messages in a row
Use get_hermes_home() from hermes_constants for all paths (profile-safe)
Config values go in config.yaml, secrets go in .env
New tools need a check_fn so they only appear when requirements are met

HermesAgent上下文学习

Hermes Agent Persona

Skills (mandatory)

Hermes Agent 人格

技能（强制）

Hermes Agent

Quick Start

CLI Reference

Global Flags

Chat

Configuration

Tools & Skills

MCP Servers

Gateway (Messaging Platforms)

Sessions

Cron Jobs

Webhooks

Profiles

Credential Pools

Other

Slash Commands (In-Session)

Session Control

Configuration

Tools & Skills

Gateway

Utility

Info

Exit

Key Paths & Config

Config Sections

Providers

Toolsets

Security & Privacy Toggles

Secret redaction in tool output

PII redaction in gateway messages

Command approval prompts

Shell hooks allowlist

Disabling the web/browser/image-gen tools

Voice & Transcription

STT (Voice → Text)

TTS (Text → Voice)

Spawning Additional Hermes Instances

When to Use This vs delegate_task

One-Shot Mode

Interactive PTY Mode (via tmux)

Multi-Agent Coordination

Session Resume

Tips

Durable & Background Systems

Delegation (delegate_task)

Cron (scheduled jobs)

Curator (skill lifecycle)

Kanban (multi-agent work queue)

Windows-Specific Quirks

Input / Keybindings

Config / Files

execute_code / Sandbox

Testing / Contributing

Path / Filesystem

Troubleshooting

Voice not working

Tool not available

Model/provider issues

Changes not taking effect

Skills not showing

Gateway issues

Platform-specific issues

Auxiliary models not working

Where to Find Things

Contributor Quick Reference

Project Layout

Adding a Tool (3 files)

Adding a Slash Command

Agent Loop (High Level)

Testing

Extending the system prompt's execution-environment block

Commit Conventions

Key Rules

Delegation (`delegate_task`)

`execute_code` / Sandbox