Eliminates every 'known broken on day one' item in the core functionality
audit. The board is now self-driving (daemon, not cron), self-healing
(crash detection, spawn-failure circuit breaker), and self-reporting
(logs, stats, gateway notifications).
Dispatcher
- New `hermes kanban daemon` long-lived loop with --interval, --max,
--failure-limit, --pidfile, --verbose, signal-clean shutdown
(SIGINT/SIGTERM via threading.Event). A kb.run_daemon() entry point
lets tests drive it inline without subprocess.
- `hermes kanban init` now prints the dispatcher setup hint so users
don't leave the board off-by-default. Ships a systemd user unit at
plugins/kanban/systemd/hermes-kanban-dispatcher.service.
- Removed the old 'add this to cron' doc path. Cron runs agent
prompts (LLM cost per tick) — unacceptable for a per-minute
coordination loop.
Worker aliveness / safety
- Spawn returns the child's PID; dispatcher stores it on the task row
and calls detect_crashed_workers() every tick. If the PID is gone
but the claim TTL hasn't expired, the task drops back to ready with
a 'crashed' event. Host-local only — cross-host PIDs are ignored
per the single-host design.
- Spawn-failure circuit breaker: after N consecutive spawn_failed
events on the same task (default 5), the dispatcher auto-blocks
with the last error as the reason. Success resets the counter.
Workspace-resolution failures count against the same budget.
- Log rotation: _rotate_worker_log trims at 2 MiB, keeps one
generation (.log.1), bounds per-task disk usage at ~4 MiB.
Idempotency / dedup
- create_task(idempotency_key=...) returns the existing non-archived
task id for retried webhooks. --idempotency-key on the CLI, json
body field on the dashboard plugin. Archived tasks don't block a
fresh create with the same key.
CLI surface
- Bulk verbs: complete, unblock, archive accept multiple ids;
block accepts --ids for sibling blocks with the same reason.
- New verbs: daemon, watch (live event tail filtered by
assignee/tenant/kinds), stats, log, notify-subscribe,
notify-list, notify-unsubscribe.
- dispatch gains --failure-limit + crashed/auto_blocked columns in
JSON output and human-readable output.
- gc accepts --event-retention-days / --log-retention-days; prunes
task_events for terminal tasks and old log files.
Gateway integration
- New GatewayRunner._kanban_notifier_watcher: polls
kanban_notify_subs every 5s, pushes ✔/⏸/✖ messages to subscribed
chats for completed/blocked/spawn_auto_blocked/crashed events.
Cursor-advanced per-sub; auto-removed when the task reaches
done/archived. Runs alongside the session expiry and platform
reconnect watchers — SQLite work in asyncio.to_thread so the
event loop never blocks.
- /kanban create in the gateway auto-subscribes the originating
chat (platform + chat_id + thread_id). Users see
'(subscribed — you'll be notified when t_abcd completes or
blocks)' appended to the response.
Dashboard plugin
- GET /stats returns board_stats (by_status, by_assignee,
oldest_ready_age_seconds).
- GET /tasks/:id/log returns the worker log with optional ?tail=N
cap. 404 on unknown task, exists=false when the task has never
spawned.
- POST /tasks accepts idempotency_key; both Pydantic body and the
create_task kwarg now round-trip.
- /board attaches task.age (created/started/time_to_complete in
seconds) so the UI can colour stale cards without recomputing.
- Card CSS: amber border after N minutes, red border when clearly
stuck (tier per status: running 10m/60m, ready 1h/24h, todo
7d/30d, blocked 1h/24h).
- Drawer: new Worker log section, auto-loads on mount, last 100 KB
cap with on-disk path surfaced when truncated.
Kernel
- Schema additions: tasks.idempotency_key, tasks.spawn_failures,
tasks.worker_pid, tasks.last_spawn_error; new
kanban_notify_subs table. All gated by _migrate_add_optional_columns
so legacy DBs upgrade cleanly.
- release_stale_claims / complete_task / block_task now all clear
worker_pid so crash detection doesn't false-positive on reclaimed
tasks.
- read_worker_log fixed: tail-skip no longer eats one-giant-line
logs (common with child processes that don't flush newlines
before dying).
Tests (tests/hermes_cli/test_kanban_core_functionality.py, 28 new)
- Idempotency: same key returns existing, archived doesn't block,
no key never collides
- Circuit breaker: auto-blocks after limit, success resets counter,
workspace-resolution failure counts against budget
- Aliveness: _pid_alive helper, detect_crashed_workers reclaims
exited child
- Daemon: runs and stops cleanly via stop_event, survives a tick
exception
- Stats + task_age helpers
- Notify subs: CRUD, cursor advances, distinct-thread is a separate row
- GC: events-only-for-terminal-tasks, old worker logs deleted
- Log: rotation keeps one generation, read_worker_log tail
- CLI: bulk complete/archive/unblock/block, create with
--idempotency-key, stats --json, notify-subscribe+list, log
missing task, gc reports counts
- run_slash parity: smoke-tests every registered verb (23
invocations); none may raise or return empty string
Full kanban test suite: 234/234 pass under scripts/run_tests.sh
(60 original + 30 dashboard plugin + 28 new core + 116 command
registry). Live smoke covers /stats, idempotency, age, log endpoint
with and without content, log?tail= truncation signal, 404 on unknown
task.
Docs (website/docs/user-guide/features/kanban.md)
- 'Core concepts' rewritten: new statuses (triage), idempotency key,
dispatcher-as-daemon-not-cron with circuit breaker behaviour
documented.
- Quick start swapped to daemon. New systemd section covers user
service install.
- New sections: idempotent create, bulk verbs, gateway
notifications, out-of-scope single-host note (kanban.db is local;
don't expect multi-host).
- CLI reference updated for every new verb, every new flag.
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.
