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Workers completing a kanban task can now claim the ids of cards they created via an optional ``created_cards`` field on ``kanban_complete``. The kernel verifies each id exists and was created by the completing worker's profile; any phantom id blocks the completion with a ``HallucinatedCardsError`` and records a ``completion_blocked_hallucination`` event on the task so the rejected attempt is auditable. Successful completions also get a non-blocking prose-scan pass over their ``summary`` + ``result`` that emits a ``suspected_hallucinated_references`` event for any ``t_<hex>`` reference that doesn't resolve. Closes #20017. Recovery UX (kernel + CLI + dashboard) -------------------------------------- A structural gate alone isn't enough — operators also need to see and act on stuck workers, especially when a profile's model is the root cause. This PR ships the full loop: * ``kanban_db.reclaim_task(task_id)`` — operator-driven reclaim that releases an active worker claim immediately (unlike ``release_stale_claims`` which only acts after claim_expires has passed). Emits a ``reclaimed`` event with ``manual: True`` payload. * ``kanban_db.reassign_task(task_id, profile, reclaim_first=...)`` — switch a task to a different profile, optionally reclaiming a stuck running worker in the same call. * ``hermes kanban reclaim <id> [--reason ...]`` and ``hermes kanban reassign <id> <profile> [--reclaim] [--reason ...]`` CLI subcommands wired through to the same helpers. * ``POST /api/plugins/kanban/tasks/{id}/reclaim`` and ``POST /api/plugins/kanban/tasks/{id}/reassign`` endpoints on the dashboard plugin. Dashboard surfacing ------------------- * ⚠ **warning badge** on cards with active hallucination events. * **attention strip** at the top of the board listing all flagged tasks; dismissible per session. * **events callout** in the task drawer — hallucination events render with a red left border, amber icon, and phantom ids as styled chips. * **recovery section** in the task drawer with three actions: Reclaim, Reassign (with profile picker + reclaim-first checkbox), and a copy-to-clipboard hint for ``hermes -p <profile> model`` since profile config lives on disk and can't be edited from the browser. Auto-opens when the task has warnings, collapsed otherwise. Keyed by task id so state doesn't leak between drawers. Active-vs-stale rule: warnings clear when a clean ``completed`` or ``edited`` event supersedes the hallucination, so recovery is never permanently stigmatising — the audit events persist for debugging but the badge goes away once the worker succeeds. Skill updates ------------- * ``skills/devops/kanban-worker/SKILL.md`` documents the ``created_cards`` contract with good/bad examples. * ``skills/devops/kanban-orchestrator/SKILL.md`` gains a "Recovering stuck workers" section with the three actions and when to use each. Tests ----- * Kernel gate: verified-cards manifest, phantom rejection + audit event, cross-worker rejection, prose scan positive + negative. * Recovery helpers: reclaim on running task, reclaim on non-running returns False, reassign refuses running without reclaim_first, reassign with reclaim_first succeeds on running. * API endpoints: warnings field present on /board and /tasks/:id, warnings cleared after clean completion, reclaim 200 + 409 paths, reassign 200 + 409 + reclaim_first paths. * CLI smoke: reclaim + reassign subcommands. Live-verified end-to-end on a dashboard with seeded scenarios: attention strip renders, badges land on the right cards, drawer callout shows phantom chips, Reclaim on a running task flips status to ready + emits manual reclaimed event + refreshes the drawer, Reassign swaps the assignee and triggers board refresh. 359/359 kanban-suite tests pass (test_kanban_{db,cli,boards,core_functionality} + dashboard + tools). |
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| AGENTS.md | ||
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| CONTRIBUTING.md | ||
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| Dockerfile | ||
| flake.lock | ||
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| hermes | ||
| hermes-already-has-routines.md | ||
| hermes_constants.py | ||
| hermes_logging.py | ||
| hermes_state.py | ||
| hermes_time.py | ||
| LICENSE | ||
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| mini_swe_runner.py | ||
| model_tools.py | ||
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| pyproject.toml | ||
| README.md | ||
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| run_agent.py | ||
| 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> |
/<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.