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3207b9bda0
Cuts shard-3 local runtime in half by neutralizing real wall-clock waits across three classes of slow test: ## 1. Retry backoff mocks - tests/run_agent/conftest.py (NEW): autouse fixture mocks jittered_backoff to 0.0 so the `while time.time() < sleep_end` busy-loop exits immediately. No global time.sleep mock (would break threading tests). - test_anthropic_error_handling, test_413_compression, test_run_agent_codex_responses, test_fallback_model: per-file fixtures mock time.sleep / asyncio.sleep for retry / compression paths. - test_retaindb_plugin: cap the retaindb module's bound time.sleep to 0.05s via a per-test shim (background writer-thread retries sleep 2s after errors; tests don't care about exact duration). Plus replace arbitrary time.sleep(N) waits with short polling loops bounded by deadline. ## 2. Subprocess sleeps in production code - test_update_gateway_restart: mock time.sleep. Production code does time.sleep(3) after `systemctl restart` to verify the service survived. Tests mock subprocess.run \u2014 nothing actually restarts \u2014 so the wait is dead time. ## 3. Network / IMDS timeouts (biggest single win) - tests/conftest.py: add AWS_EC2_METADATA_DISABLED=true plus AWS_METADATA_SERVICE_TIMEOUT=1 and ATTEMPTS=1. boto3 falls back to IMDS (169.254.169.254) when no AWS creds are set. Any test hitting has_aws_credentials() / resolve_aws_auth_env_var() (e.g. test_status, test_setup_copilot_acp, anything that touches provider auto-detect) burned ~2-4s waiting for that to time out. - test_exit_cleanup_interrupt: explicitly mock resolve_runtime_provider which was doing real network auto-detect (~4s). Tests don't care about provider resolution \u2014 the agent is already mocked. - test_timezone: collapse the 3-test "TZ env in subprocess" suite into 2 tests by checking both injection AND no-leak in the same subprocess spawn (was 3 \u00d7 3.2s, now 2 \u00d7 4s). ## Validation | Test | Before | After | |---|---|---| | test_anthropic_error_handling (8 tests) | ~80s | ~15s | | test_413_compression (14 tests) | ~18s | 2.3s | | test_retaindb_plugin (67 tests) | ~13s | 1.3s | | test_status_includes_tavily_key | 4.0s | 0.05s | | test_setup_copilot_acp_skips_same_provider_pool_step | 8.0s | 0.26s | | test_update_gateway_restart (5 tests) | ~18s total | ~0.35s total | | test_exit_cleanup_interrupt (2 tests) | 8s | 1.5s | | **Matrix shard 3 local** | **108s** | **50s** | No behavioral contract changed \u2014 tests still verify retry happens, service restart logic runs, etc.; they just don't burn real seconds waiting for it. Supersedes PR #11779 (those changes are included here). |
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| AGENTS.md | ||
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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_state.py | ||
| hermes_time.py | ||
| LICENSE | ||
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| mcp_serve.py | ||
| mini_swe_runner.py | ||
| model_tools.py | ||
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| README.md | ||
| RELEASE_v0.2.0.md | ||
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| requirements.txt | ||
| rl_cli.py | ||
| run_agent.py | ||
| SECURITY.md | ||
| setup-hermes.sh | ||
| toolset_distributions.py | ||
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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:
git clone https://github.com/NousResearch/hermes-agent.git
cd hermes-agent
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.