Stacked on #49003. That PR added always-on metadata (method/path/status/ latency + WS lifecycle) to the gui surface. This adds the heavy diagnostic tier — actual HTTP request bodies and PTY/WebSocket frames — for the hard dashboard/TUI bugs where metadata alone isn't enough. Body content can carry conversation data, so this is opt-in and built to be structurally incapable of leaking into a shared debug report (see #22016): - New config logging.capture_bodies (default false), surfaced in the dashboard / hermes tools config UI via _SCHEMA_OVERRIDES with a warning description. - When enabled, bodies go to a SEPARATE gui_bodies.log written by a dedicated logger (hermes_body_capture, propagate=False) that is deliberately NOT a member of any COMPONENT_PREFIXES. Four structural guarantees, all tested: 1. not under any component prefix -> never lands in gui.log / agent.log 2. not in hermes_cli/logs.py LOG_FILES -> not tailable via --- ~/.hermes/logs/agent.log (last 50) --- 2026-06-19 18:48:30,316 INFO [20260619_173001_f45949] agent.conversation_loop: API call #4: model=anthropic/claude-opus-4.8 provider=openrouter in=288583 out=529 total=289112 latency=10.6s cache=284912/288583 (99%) 2026-06-19 18:48:30,318 INFO [20260619_173001_f45949] agent.conversation_loop: Turn ended: reason=text_response(finish_reason=stop) model=anthropic/claude-opus-4.8 api_calls=4/16 budget=4/16 tool_turns=110 last_msg_role=assistant response_len=1474 session=20260619_173001_f45949 2026-06-19 18:48:30,325 INFO [20260619_173001_f45949] run_agent: OpenAI client closed (agent_close, shared=True, tcp_force_closed=0) thread=bg-review:6349795328 provider=openrouter base_url=https://openrouter.ai/api/v1 model=anthropic/claude-opus-4.8 2026-06-19 18:48:30,652 INFO run_agent: OpenAI client closed (stream_request_complete, shared=False, tcp_force_closed=0) thread=Thread-747 (_call):6421311488 provider=openrouter base_url=https://openrouter.ai/api/v1 model=anthropic/claude-opus-4.8 2026-06-19 18:48:30,653 INFO [20260619_153431_51fd01] agent.conversation_loop: API call #139: model=anthropic/claude-opus-4.8 provider=openrouter in=243960 out=991 total=244951 latency=11.5s cache=242196/243960 (99%) 2026-06-19 18:48:31,348 INFO [20260619_153431_51fd01] agent.tool_executor: tool terminal completed (0.69s, 161 chars) 2026-06-19 18:48:31,384 INFO run_agent: OpenAI client created (chat_completion_stream_request, shared=False) thread=Thread-749 (_call):6421311488 provider=openrouter base_url=https://openrouter.ai/api/v1 model=anthropic/claude-opus-4.8 2026-06-19 18:48:51,510 INFO run_agent: OpenAI client closed (stream_request_complete, shared=False, tcp_force_closed=0) thread=Thread-749 (_call):6421311488 provider=openrouter base_url=https://openrouter.ai/api/v1 model=anthropic/claude-opus-4.8 2026-06-19 18:48:51,511 INFO [20260619_153431_51fd01] agent.conversation_loop: API call #140: model=anthropic/claude-opus-4.8 provider=openrouter in=245038 out=1783 total=246821 latency=20.1s cache=243477/245038 (99%) 2026-06-19 18:48:52,215 INFO [20260619_153431_51fd01] agent.tool_executor: tool terminal completed (0.70s, 153 chars) 2026-06-19 18:48:52,245 INFO run_agent: OpenAI client created (chat_completion_stream_request, shared=False) thread=Thread-751 (_call):6421311488 provider=openrouter base_url=https://openrouter.ai/api/v1 model=anthropic/claude-opus-4.8 2026-06-19 18:48:59,489 INFO run_agent: OpenAI client closed (stream_request_complete, shared=False, tcp_force_closed=0) thread=Thread-751 (_call):6421311488 provider=openrouter base_url=https://openrouter.ai/api/v1 model=anthropic/claude-opus-4.8 2026-06-19 18:48:59,490 INFO [20260619_153431_51fd01] agent.conversation_loop: API call #141: model=anthropic/claude-opus-4.8 provider=openrouter in=246873 out=493 total=247366 latency=7.3s cache=244127/246873 (99%) 2026-06-19 18:49:13,666 INFO [20260619_153431_51fd01] agent.tool_executor: tool terminal completed (14.17s, 979 chars) 2026-06-19 18:49:13,692 INFO run_agent: OpenAI client created (chat_completion_stream_request, shared=False) thread=Thread-753 (_call):6421311488 provider=openrouter base_url=https://openrouter.ai/api/v1 model=anthropic/claude-opus-4.8 2026-06-19 18:49:22,930 INFO run_agent: OpenAI client closed (stream_request_complete, shared=False, tcp_force_closed=0) thread=Thread-753 (_call):6421311488 provider=openrouter base_url=https://openrouter.ai/api/v1 model=anthropic/claude-opus-4.8 2026-06-19 18:49:22,932 INFO [20260619_153431_51fd01] agent.conversation_loop: API call #142: model=anthropic/claude-opus-4.8 provider=openrouter in=247686 out=548 total=248234 latency=9.3s cache=245109/247686 (99%) 2026-06-19 18:49:23,254 INFO [20260619_153431_51fd01] agent.tool_executor: tool patch completed (0.10s, 1394 chars) 2026-06-19 18:49:23,287 INFO run_agent: OpenAI client created (chat_completion_stream_request, shared=False) thread=Thread-762 (_call):6421311488 provider=openrouter base_url=https://openrouter.ai/api/v1 model=anthropic/claude-opus-4.8 2026-06-19 18:49:26,661 INFO run_agent: OpenAI client closed (stream_request_complete, shared=False, tcp_force_closed=0) thread=Thread-762 (_call):6421311488 provider=openrouter base_url=https://openrouter.ai/api/v1 model=anthropic/claude-opus-4.8 2026-06-19 18:49:26,662 INFO [20260619_153431_51fd01] agent.conversation_loop: API call #143: model=anthropic/claude-opus-4.8 provider=openrouter in=248814 out=104 total=248918 latency=3.4s cache=246934/248814 (99%) 2026-06-19 18:49:27,958 INFO [20260619_153431_51fd01] agent.tool_executor: tool terminal completed (1.29s, 14487 chars) 2026-06-19 18:49:27,984 INFO run_agent: OpenAI client created (chat_completion_stream_request, shared=False) thread=Thread-764 (_call):6421311488 provider=openrouter base_url=https://openrouter.ai/api/v1 model=anthropic/claude-opus-4.8 2026-06-19 18:49:43,991 INFO run_agent: OpenAI client closed (stream_request_complete, shared=False, tcp_force_closed=0) thread=Thread-764 (_call):6421311488 provider=openrouter base_url=https://openrouter.ai/api/v1 model=anthropic/claude-opus-4.8 2026-06-19 18:49:43,992 INFO [20260619_153431_51fd01] agent.conversation_loop: API call #144: model=anthropic/claude-opus-4.8 provider=openrouter in=255375 out=938 total=256313 latency=16.0s cache=247771/255375 (97%) 2026-06-19 18:49:44,087 INFO [20260619_153431_51fd01] agent.conversation_loop: Turn ended: reason=text_response(finish_reason=stop) model=anthropic/claude-opus-4.8 api_calls=36/90 budget=31/90 tool_turns=129 last_msg_role=assistant response_len=2300 session=20260619_153431_51fd01 2026-06-19 18:49:44,112 INFO run_agent: OpenAI client created (agent_init, shared=True) thread=bg-review:6421311488 provider=openrouter base_url=https://openrouter.ai/api/v1 model=anthropic/claude-opus-4.8 2026-06-19 18:49:44,454 INFO [20260619_153431_51fd01] agent.turn_context: conversation turn: session=20260619_153431_51fd01 model=anthropic/claude-opus-4.8 provider=openrouter platform=cli history=310 msg='Review the conversation above and update the skill library. Be ACTIVE — most ses...' 2026-06-19 18:49:44,573 INFO run_agent: OpenAI client created (chat_completion_stream_request, shared=False) thread=Thread-765 (_call):6150942720 provider=openrouter base_url=https://openrouter.ai/api/v1 model=anthropic/claude-opus-4.8 2026-06-19 18:49:54,258 INFO run_agent: OpenAI client closed (stream_request_complete, shared=False, tcp_force_closed=0) thread=Thread-765 (_call):6150942720 provider=openrouter base_url=https://openrouter.ai/api/v1 model=anthropic/claude-opus-4.8 2026-06-19 18:49:54,259 INFO [20260619_153431_51fd01] agent.conversation_loop: API call #1: model=anthropic/claude-opus-4.8 provider=openrouter in=258322 out=423 total=258745 latency=9.8s cache=248822/258322 (96%) 2026-06-19 18:49:54,360 INFO [20260619_153431_51fd01] agent.tool_executor: tool skills_list completed (0.10s, 21152 chars) 2026-06-19 18:49:54,383 INFO run_agent: OpenAI client created (chat_completion_stream_request, shared=False) thread=Thread-766 (_call):6150942720 provider=openrouter base_url=https://openrouter.ai/api/v1 model=anthropic/claude-opus-4.8 2026-06-19 18:50:02,705 INFO run_agent: OpenAI client closed (stream_request_complete, shared=False, tcp_force_closed=0) thread=Thread-766 (_call):6150942720 provider=openrouter base_url=https://openrouter.ai/api/v1 model=anthropic/claude-opus-4.8 2026-06-19 18:50:02,706 INFO [20260619_153431_51fd01] agent.conversation_loop: API call #2: model=anthropic/claude-opus-4.8 provider=openrouter in=266258 out=313 total=266571 latency=8.3s cache=258320/266258 (97%) 2026-06-19 18:50:02,814 INFO [20260619_153431_51fd01] agent.tool_executor: tool skill_view completed (0.11s, 111769 chars) 2026-06-19 18:50:02,836 INFO [20260619_153431_51fd01] tools.tool_result_storage: Persisted large tool result: skill_view (toolu_01G7Zvw8ttjsUkomENppFu5T, 111769 chars -> /var/folders/p5/nqn3gs293rv3wtvf01pl9_vr0000gn/T/hermes-results/toolu_01G7Zvw8ttjsUkomENppFu5T.txt) 2026-06-19 18:50:02,861 INFO run_agent: OpenAI client created (chat_completion_stream_request, shared=False) thread=Thread-769 (_call):6150942720 provider=openrouter base_url=https://openrouter.ai/api/v1 model=anthropic/claude-opus-4.8 2026-06-19 18:50:12,687 INFO run_agent: OpenAI client closed (stream_request_complete, shared=False, tcp_force_closed=0) thread=Thread-769 (_call):6150942720 provider=openrouter base_url=https://openrouter.ai/api/v1 model=anthropic/claude-opus-4.8 2026-06-19 18:50:12,688 INFO [20260619_153431_51fd01] agent.conversation_loop: API call #3: model=anthropic/claude-opus-4.8 provider=openrouter in=267367 out=386 total=267753 latency=9.8s cache=258694/267367 (97%) 2026-06-19 18:50:12,749 INFO [20260619_153431_51fd01] agent.tool_executor: tool skill_view completed (0.06s, 22856 chars) 2026-06-19 18:50:12,776 INFO run_agent: OpenAI client created (chat_completion_stream_request, shared=False) thread=Thread-770 (_call):6150942720 provider=openrouter base_url=https://openrouter.ai/api/v1 model=anthropic/claude-opus-4.8 2026-06-19 18:50:18,989 INFO [20260619_153431_51fd01] agent.turn_context: conversation turn: session=20260619_153431_51fd01 model=anthropic/claude-opus-4.8 provider=openrouter platform=cli history=310 msg='yes' 2026-06-19 18:50:19,032 INFO run_agent: OpenAI client created (chat_completion_stream_request, shared=False) thread=Thread-772 (_call):12901707776 provider=openrouter base_url=https://openrouter.ai/api/v1 model=anthropic/claude-opus-4.8 2026-06-19 18:50:21,530 INFO run_agent: OpenAI client closed (stream_request_complete, shared=False, tcp_force_closed=0) thread=Thread-770 (_call):6150942720 provider=openrouter base_url=https://openrouter.ai/api/v1 model=anthropic/claude-opus-4.8 2026-06-19 18:50:21,531 INFO [20260619_153431_51fd01] agent.conversation_loop: API call #4: model=anthropic/claude-opus-4.8 provider=openrouter in=276591 out=415 total=277006 latency=8.8s cache=266515/276591 (96%) 2026-06-19 18:50:21,585 WARNING [20260619_153431_51fd01] agent.tool_executor: Tool skill_view returned error (0.05s): {"success": false, "error": "File 'references/stacked-feature-prs.md' not found in skill 'incremental-architecture-refactor'.", "available_files": {}, "hint": "Use one of the available file paths list 2026-06-19 18:50:21,613 INFO run_agent: OpenAI client created (chat_completion_stream_request, shared=False) thread=Thread-773 (_call):6150942720 provider=openrouter base_url=https://openrouter.ai/api/v1 model=anthropic/claude-opus-4.8 2026-06-19 18:50:36,019 INFO run_agent: OpenAI client closed (stream_request_complete, shared=False, tcp_force_closed=0) thread=Thread-772 (_call):12901707776 provider=openrouter base_url=https://openrouter.ai/api/v1 model=anthropic/claude-opus-4.8 2026-06-19 18:50:36,020 INFO [20260619_153431_51fd01] agent.conversation_loop: API call #145: model=anthropic/claude-opus-4.8 provider=openrouter in=256317 out=997 total=257314 latency=17.0s cache=256311/256317 (100%) 3. not in debug.py _capture_default_log_snapshots() -> NEVER uploaded by ⚠️ This will upload the following to a public paste service: • System info (OS, Python version, Hermes version, provider, which API keys are configured — NOT the actual keys) • Recent log lines (agent.log, errors.log, gateway.log, desktop.log — may contain conversation fragments and file paths) • Full agent.log, gateway.log, and desktop.log (up to 512 KB each — likely contains conversation content, tool outputs, and file paths) Pastes auto-delete after 6 hours. Collecting debug report... Uploading... Debug report uploaded: Report https://paste.rs/nnfZj (failed to upload: agent.log: Failed to upload to any paste service: paste.rs: HTTP Error 500: Internal Server Error dpaste.com: <urlopen error [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: certificate has expired (_ssl.c:1016)>, gateway.log: Failed to upload to any paste service: paste.rs: HTTP Error 500: Internal Server Error dpaste.com: <urlopen error [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: certificate has expired (_ssl.c:1016)>, desktop.log: Failed to upload to any paste service: paste.rs: HTTP Error 500: Internal Server Error dpaste.com: <urlopen error [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: certificate has expired (_ssl.c:1016)>) ⏱ Pastes will auto-delete in 6 hours. To delete now: hermes debug delete <url> Share these links with the Hermes team for support. 4. still redacted via RedactingFormatter as defence-in-depth - Disabled state attaches a NullHandler and sets the level above CRITICAL, so _capture_body() is a cheap no-op (single isEnabledFor check) on the hot path. Captured bodies are truncated to 4096 bytes. request.body() is Starlette- cached, so reading it in the access middleware does not consume the stream for downstream handlers. Capture sites: HTTP request body (access middleware), PTY in/out frames. Tests (tests/test_hermes_logging.py::TestBodyCaptureOptIn): disabled-by-default creates no file and captures nothing; enabled writes to gui_bodies.log and the payload is ABSENT from gui.log; large bodies truncate; the body logger is isolated from every component; and the body file is excluded from both LOG_FILES and the debug-share snapshot set. |
||
|---|---|---|
| .github | ||
| .plans | ||
| acp_adapter | ||
| acp_registry | ||
| agent | ||
| apps | ||
| assets | ||
| cron | ||
| datagen-config-examples | ||
| docker | ||
| docs | ||
| gateway | ||
| hermes_cli | ||
| locales | ||
| nix | ||
| optional-mcps | ||
| optional-skills | ||
| packaging/homebrew | ||
| plans | ||
| plugins | ||
| providers | ||
| scripts | ||
| skills | ||
| tests | ||
| tools | ||
| tui_gateway | ||
| ui-tui | ||
| web | ||
| website | ||
| .dockerignore | ||
| .env.example | ||
| .envrc | ||
| .gitattributes | ||
| .gitignore | ||
| .hadolint.yaml | ||
| .mailmap | ||
| AGENTS.md | ||
| batch_runner.py | ||
| cli-config.yaml.example | ||
| cli.py | ||
| constraints-termux.txt | ||
| CONTRIBUTING.md | ||
| docker-compose.windows.yml | ||
| docker-compose.yml | ||
| Dockerfile | ||
| flake.lock | ||
| flake.nix | ||
| hermes | ||
| hermes-already-has-routines.md | ||
| hermes_bootstrap.py | ||
| hermes_constants.py | ||
| hermes_logging.py | ||
| hermes_state.py | ||
| hermes_time.py | ||
| LICENSE | ||
| MANIFEST.in | ||
| mcp_serve.py | ||
| mini_swe_runner.py | ||
| model_tools.py | ||
| package-lock.json | ||
| package.json | ||
| pyproject.toml | ||
| README.md | ||
| README.ur-pk.md | ||
| README.zh-CN.md | ||
| run_agent.py | ||
| SECURITY.md | ||
| setup-hermes.sh | ||
| setup.py | ||
| toolset_distributions.py | ||
| toolsets.py | ||
| trajectory_compressor.py | ||
| utils.py | ||
| uv.lock | ||
Hermes Agent ☤
The self-improving AI agent built by Nous Research. It's the only agent with a built-in learning loop — it creates skills from experience, improves them during use, nudges itself to persist knowledge, searches its own past conversations, and builds a deepening model of who you are across sessions. Run it on a $5 VPS, a GPU cluster, or serverless infrastructure that costs nearly nothing when idle. It's not tied to your laptop — talk to it from Telegram while it works on a cloud VM.
Use any model you want — Nous Portal, OpenRouter (200+ models), NovitaAI (AI-native cloud for Model API, Agent Sandbox, and GPU Cloud), NVIDIA NIM (Nemotron), Xiaomi MiMo, z.ai/GLM, Kimi/Moonshot, MiniMax, Hugging Face, OpenAI, or your own endpoint. Switch with hermes model — no code changes, no lock-in.
| A real terminal interface | Full TUI with multiline editing, slash-command autocomplete, conversation history, interrupt-and-redirect, and streaming tool output. |
| Lives where you do | Telegram, Discord, Slack, WhatsApp, Signal, and CLI — all from a single gateway process. Voice memo transcription, cross-platform conversation continuity. |
| A closed learning loop | Agent-curated memory with periodic nudges. Autonomous skill creation after complex tasks. Skills self-improve during use. FTS5 session search with LLM summarization for cross-session recall. Honcho dialectic user modeling. Compatible with the agentskills.io open standard. |
| Scheduled automations | Built-in cron scheduler with delivery to any platform. Daily reports, nightly backups, weekly audits — all in natural language, running unattended. |
| Delegates and parallelizes | Spawn isolated subagents for parallel workstreams. Write Python scripts that call tools via RPC, collapsing multi-step pipelines into zero-context-cost turns. |
| Runs anywhere, not just your laptop | Six terminal backends — local, Docker, SSH, Singularity, Modal, and Daytona. Daytona and Modal offer serverless persistence — your agent's environment hibernates when idle and wakes on demand, costing nearly nothing between sessions. Run it on a $5 VPS or a GPU cluster. |
| Research-ready | Batch trajectory generation, trajectory compression for training the next generation of tool-calling models. |
Quick Install
Linux, macOS, WSL2, Termux
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
Windows (native, PowerShell)
Heads up: Native Windows runs Hermes without WSL — CLI, gateway, TUI, and tools all work natively. If you'd rather use WSL2, the Linux/macOS one-liner above works there too. Found a bug? Please file issues.
Run this in PowerShell:
iex (irm https://hermes-agent.nousresearch.com/install.ps1)
The installer handles everything: uv, Python 3.11, Node.js, ripgrep, ffmpeg, and a portable Git Bash (MinGit, unpacked to %LOCALAPPDATA%\hermes\git — no admin required, completely isolated from any system Git install). Hermes uses this bundled Git Bash to run shell commands.
If you already have Git installed, the installer detects it and uses that instead. Otherwise a ~45MB MinGit download is all you need — it won't touch or interfere with any system Git.
Android / Termux: The tested manual path is documented in the Termux guide. On Termux, Hermes installs a curated
.[termux]extra because the full.[all]extra currently pulls Android-incompatible voice dependencies.Windows: Native Windows is fully supported — the PowerShell one-liner above installs everything. If you'd rather use WSL2, the Linux command works there too. Native Windows install lives under
%LOCALAPPDATA%\hermes; WSL2 installs under~/.hermesas on Linux.
After installation:
source ~/.bashrc # reload shell (or: source ~/.zshrc)
hermes # start chatting!
Getting Started
hermes # Interactive CLI — start a conversation
hermes model # Choose your LLM provider and model
hermes tools # Configure which tools are enabled
hermes config set # Set individual config values
hermes gateway # Start the messaging gateway (Telegram, Discord, etc.)
hermes setup # Run the full setup wizard (configures everything at once)
hermes claw migrate # Migrate from OpenClaw (if coming from OpenClaw)
hermes update # Update to the latest version
hermes doctor # Diagnose any issues
Skip the API-key collection — Nous Portal
Hermes works with whatever provider you want — that's not changing. But if you'd rather not collect five separate API keys for the model, web search, image generation, TTS, and a cloud browser, Nous Portal covers all of them under one subscription:
- 300+ models — pick any of them with
/model <name> - Tool Gateway — web search (Firecrawl), image generation (FAL), text-to-speech (OpenAI), cloud browser (Browser Use), all routed through your sub. No extra accounts.
One command from a fresh install:
hermes setup --portal
That logs you in via OAuth, sets Nous as your provider, and turns on the Tool Gateway. Check what's wired up any time with hermes portal info. Full details on the Tool Gateway docs page.
You can still bring your own keys per-tool whenever you want — the gateway is per-backend, not all-or-nothing.
CLI vs Messaging Quick Reference
Hermes has two entry points: start the terminal UI with hermes, or run the gateway and talk to it from Telegram, Discord, Slack, WhatsApp, Signal, or Email. Once you're in a conversation, many slash commands are shared across both interfaces.
| Action | CLI | Messaging platforms |
|---|---|---|
| Start chatting | hermes |
Run hermes gateway setup + hermes gateway start, then send the bot a message |
| Start fresh conversation | /new or /reset |
/new or /reset |
| Change model | /model [provider:model] |
/model [provider:model] |
| Set a personality | /personality [name] |
/personality [name] |
| Retry or undo the last turn | /retry, /undo |
/retry, /undo |
| Compress context / check usage | /compress, /usage, /insights [--days N] |
/compress, /usage, /insights [days] |
| Browse skills | /skills or /<skill-name> |
/<skill-name> |
| Interrupt current work | Ctrl+C or send a new message |
/stop or send a new message |
| Platform-specific status | /platforms |
/status, /sethome |
For the full command lists, see the CLI guide and the Messaging Gateway guide.
Documentation
All documentation lives at hermes-agent.nousresearch.com/docs:
| Section | What's Covered |
|---|---|
| Quickstart | Install → setup → first conversation in 2 minutes |
| CLI Usage | Commands, keybindings, personalities, sessions |
| Configuration | Config file, providers, models, all options |
| Messaging Gateway | Telegram, Discord, Slack, WhatsApp, Signal, Home Assistant |
| Security | Command approval, DM pairing, container isolation |
| Tools & Toolsets | 40+ tools, toolset system, terminal backends |
| Skills System | Procedural memory, Skills Hub, creating skills |
| Memory | Persistent memory, user profiles, best practices |
| MCP Integration | Connect any MCP server for extended capabilities |
| Cron Scheduling | Scheduled tasks with platform delivery |
| Context Files | Project context that shapes every conversation |
| Architecture | Project structure, agent loop, key classes |
| Contributing | Development setup, PR process, code style |
| CLI Reference | All commands and flags |
| Environment Variables | Complete env var reference |
Migrating from OpenClaw
If you're coming from OpenClaw, Hermes can automatically import your settings, memories, skills, and API keys.
During first-time setup: The setup wizard (hermes setup) automatically detects ~/.openclaw and offers to migrate before configuration begins.
Anytime after install:
hermes claw migrate # Interactive migration (full preset)
hermes claw migrate --dry-run # Preview what would be migrated
hermes claw migrate --preset user-data # Migrate without secrets
hermes claw migrate --overwrite # Overwrite existing conflicts
What gets imported:
- SOUL.md — persona file
- Memories — MEMORY.md and USER.md entries
- Skills — user-created skills →
~/.hermes/skills/openclaw-imports/ - Command allowlist — approval patterns
- Messaging settings — platform configs, allowed users, working directory
- API keys — allowlisted secrets (Telegram, OpenRouter, OpenAI, Anthropic, ElevenLabs)
- TTS assets — workspace audio files
- Workspace instructions — AGENTS.md (with
--workspace-target)
See hermes claw migrate --help for all options, or use the openclaw-migration skill for an interactive agent-guided migration with dry-run previews.
Contributing
We welcome contributions! See the Contributing Guide for development setup, code style, and PR process.
Quick start for contributors — use the standard installer, then work from the
full git checkout it creates at $HERMES_HOME/hermes-agent (usually
~/.hermes/hermes-agent). This matches the layout used by hermes update, the
managed venv, lazy dependencies, gateway, and docs tooling.
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
cd "${HERMES_HOME:-$HOME/.hermes}/hermes-agent"
uv pip install -e ".[all,dev]"
scripts/run_tests.sh
Manual clone fallback (for throwaway clones/CI where you intentionally do not want the managed install layout):
curl -LsSf https://astral.sh/uv/install.sh | sh
uv venv .venv --python 3.11
source .venv/bin/activate
uv pip install -e ".[all,dev]"
scripts/run_tests.sh
Community
- 💬 Discord
- 📚 Skills Hub
- 🐛 Issues
- 🔌 computer-use-linux — Linux desktop-control MCP server for Hermes and other MCP hosts, with AT-SPI accessibility trees, Wayland/X11 input, screenshots, and compositor window targeting.
- 🔌 HermesClaw — Community WeChat bridge: Run Hermes Agent and OpenClaw on the same WeChat account.
License
MIT — see LICENSE.
Built by Nous Research.