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* [verified] fix(mcp-oauth): bridge httpx auth_flow bidirectional generator HermesMCPOAuthProvider.async_auth_flow wrapped the SDK's auth_flow with 'async for item in super().async_auth_flow(request): yield item', which discards httpx's .asend(response) values and resumes the inner generator with None. This broke every OAuth MCP server on the first HTTP response with 'NoneType' object has no attribute 'status_code' crashing at mcp/client/auth/oauth2.py:505. Replace with a manual bridge that forwards .asend() values into the inner generator, preserving httpx's bidirectional auth_flow contract. Add tests/tools/test_mcp_oauth_bidirectional.py with two regression tests that drive the flow through real .asend() round-trips. These catch the bug at the unit level; prior tests only exercised _initialize() and disk-watching, never the full generator protocol. Verified against BetterStack MCP: Before: 'Connection failed (11564ms): NoneType...' after 3 retries After: 'Connected (2416ms); Tools discovered: 83' Regression from #11383. * [verified] fix(mcp-oauth): seed token_expiry_time + pre-flight AS discovery on cold-load PR #11383's consolidation fixed external-refresh reloading and 401 dedup but left two latent bugs that surfaced on BetterStack and any other OAuth MCP with a split-origin authorization server: 1. HermesTokenStorage persisted only a relative 'expires_in', which is meaningless after a process restart. The MCP SDK's OAuthContext does NOT seed token_expiry_time in _initialize, so is_token_valid() returned True for any reloaded token regardless of age. Expired tokens shipped to servers, and app-level auth failures (e.g. BetterStack's 'No teams found. Please check your authentication.') were invisible to the transport-layer 401 handler. 2. Even once preemptive refresh did fire, the SDK's _refresh_token falls back to {server_url}/token when oauth_metadata isn't cached. For providers whose AS is at a different origin (BetterStack: mcp.betterstack.com for MCP, betterstack.com/oauth/token for the token endpoint), that fallback 404s and drops into full browser re-auth on every process restart. Fix set: - HermesTokenStorage.set_tokens persists an absolute wall-clock expires_at alongside the SDK's OAuthToken JSON (time.time() + TTL at write time). - HermesTokenStorage.get_tokens reconstructs expires_in from max(expires_at - now, 0), clamping expired tokens to zero TTL. Legacy files without expires_at fall back to file-mtime as a best-effort wall-clock proxy, self-healing on the next set_tokens. - HermesMCPOAuthProvider._initialize calls super(), then update_token_expiry on the reloaded tokens so token_expiry_time reflects actual remaining TTL. If tokens are loaded but oauth_metadata is missing, pre-flight PRM + ASM discovery runs via httpx.AsyncClient using the MCP SDK's own URL builders and response handlers (build_protected_resource_metadata_discovery_urls, handle_auth_metadata_response, etc.) so the SDK sees the correct token_endpoint before the first refresh attempt. Pre-flight is skipped when there are no stored tokens to keep fresh-install paths zero-cost. Test coverage (tests/tools/test_mcp_oauth_cold_load_expiry.py): - set_tokens persists absolute expires_at - set_tokens skips expires_at when token has no expires_in - get_tokens round-trips expires_at -> remaining expires_in - expired tokens reload with expires_in=0 - legacy files without expires_at fall back to mtime proxy - _initialize seeds token_expiry_time from stored tokens - _initialize flags expired-on-disk tokens as is_token_valid=False - _initialize pre-flights PRM + ASM discovery with mock transport - _initialize skips pre-flight when no tokens are stored Verified against BetterStack MCP: hermes mcp test betterstack -> Connected (2508ms), 83 tools mcp_betterstack_telemetry_list_teams_tool -> real team data, not 'No teams found. Please check your authentication.' Reference: mcp-oauth-token-diagnosis skill, Fix A. * chore: map hermes@noushq.ai to benbarclay in AUTHOR_MAP Needed for CI attribution check on cherry-picked commits from PR #12025. --------- Co-authored-by: Hermes Agent <hermes@noushq.ai> |
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| CONTRIBUTING.md | ||
| Dockerfile | ||
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| hermes | ||
| hermes-already-has-routines.md | ||
| hermes_constants.py | ||
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| hermes_time.py | ||
| LICENSE | ||
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| mini_swe_runner.py | ||
| model_tools.py | ||
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| README.md | ||
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| SECURITY.md | ||
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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), 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, Daytona, Singularity, and Modal. 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, Atropos RL environments, trajectory compression for training the next generation of tool-calling models. |
Quick Install
curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash
Works on Linux, macOS, WSL2, and Android via Termux. The installer handles the platform-specific setup for you.
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 not supported. Please install WSL2 and run the command above.
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
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> |
/skills or /<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 — clone and go with setup-hermes.sh:
git clone https://github.com/NousResearch/hermes-agent.git
cd hermes-agent
./setup-hermes.sh # installs uv, creates venv, installs .[all], symlinks ~/.local/bin/hermes
./hermes # auto-detects the venv, no need to `source` first
Manual path (equivalent to the above):
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]"
python -m pytest tests/ -q
RL Training (optional): To work on the RL/Tinker-Atropos integration:
git submodule update --init tinker-atropos uv pip install -e "./tinker-atropos"
Community
- 💬 Discord
- 📚 Skills Hub
- 🐛 Issues
- 💡 Discussions
- 🔌 HermesClaw — Community WeChat bridge: Run Hermes Agent and OpenClaw on the same WeChat account.
License
MIT — see LICENSE.
Built by Nous Research.