31f70d1f2a
CI Tests workflow has been red on main for 40+ consecutive runs. This commit recovers every failure visible in run 25130722163 (most recent completed run prior to this PR). Root causes, by group: Test-mock drift after product landed (fix: update mocks) - test_mcp_structured_content / test_mcp_dynamic_discovery (6 tests): product added _rpc_lock (#02ae15222) and _schedule_tools_refresh (#1350d12b0) without updating sibling test files. Install a real asyncio.Lock inside the fake run-loop and patch at _schedule_tools_refresh. - test_session.py: renamed normalize_whatsapp_identifier → canonical_ whatsapp_identifier upstream; keep a local alias so the legacy tests keep working. - test_run_progress_topics Slack DM test: PR #8006 made Slack default tool_progress=off; explicitly set it to 'all' in the test fixture so the progress-callback path still runs. Also read tool_progress_callback at call time rather than freezing it in FakeAgent.__init__ — production assigns it AFTER construction. - test_tui_gateway_server session-create/close race: session.create now defers _start_agent_build behind a 50ms timer — wait for the build thread to enter _make_agent before closing, otherwise the orphan- cleanup path never runs. - test_protocol session.resume: product get_messages_as_conversation now takes include_ancestors kwarg; accept **_kwargs in the test stub. - test_copilot_acp_client redaction: redactor is OFF by default (snapshots HERMES_REDACT_SECRETS at import); patch agent.redact._REDACT_ENABLED=True for the duration of the test. - test_minimax_provider: after #17171, dots in non-Anthropic model names stay dots even with preserve_dots=False. Assert the new invariant rather than the old 'broken for MiniMax' behavior. - test_update_autostash: updater now scans `ps -A` for dashboard PIDs; the test's catch-all subprocess.run stub needed stdout/stderr fields. - test_accretion_caps: read_timestamps dict is populated lazily when os.path.getmtime succeeds. Use .get("read_timestamps", {}) to tolerate CI filesystems where the stat races file creation. Change-detector tests (fix: rewrite as structural invariants) - test_credential_sources_registry_has_expected_steps: was a frozen set comparison that broke when minimax-oauth was added. Rewrite as an invariant check (every step has description, no dupes, core steps present) per AGENTS.md 'don't write change-detector tests'. xdist ordering / test pollution (fix: reset state, use module-local patches) - test_setup vercel: sibling test saved VERCEL_PROJECT_ID='project' to os.environ via save_env_value() and never cleared it. monkeypatch.delenv the VERCEL_* vars in the link-file test. - test_clipboard TestIsWsl: GitHub Actions is on Azure VMs whose real /proc/version often contains 'microsoft'. Patching builtins.open with mock_open didn't reliably intercept hermes_constants.is_wsl's call in xdist workers that had already cached _wsl_detected=True from an earlier test. Patch hermes_constants.open directly and add teardown_method to reset the cache after each test. Pytest-asyncio cancellation hangs (fix: bound product await with timeout) - test_session_split_brain_11016 (3 params) + test_gateway_shutdown cancel-inflight: under pytest-asyncio 1.3.0, 'await task' and 'asyncio.gather(cancelled_tasks)' can stall for 30s when the cancelled task's finally block awaits typing-task cleanup. Bound both with asyncio.wait_for(..., timeout=5.0) and asyncio.shield — the stragglers are released from adapter tracking and allowed to finish unwinding in the background. This is also a legitimate hardening: a wedged finally shouldn't stall the caller's dispatch or a gateway shutdown. Orphan UI config (fix: merge tiny tab into messaging category) - test_web_server test_no_single_field_categories: the telegram.reactions config field lived in its own 'telegram' schema category with no siblings. Fold it under 'discord' via _CATEGORY_MERGE so the dashboard doesn't render an orphan single-field tab. Local verification: 38/38 originally-failing tests pass; 4044/4044 gateway tests pass; 684/684 targeted subset (all 16 touched test files) passes.
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> |
/<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]"
scripts/run_tests.sh
RL Training (optional): The RL/Atropos integration (
environments/) ships via theatroposlibandtinkerdependencies pulled in by.[all,dev]— no submodule setup required.
Community
- 💬 Discord
- 📚 Skills Hub
- 🐛 Issues
- 🔌 HermesClaw — Community WeChat bridge: Run Hermes Agent and OpenClaw on the same WeChat account.
License
MIT — see LICENSE.
Built by Nous Research.