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1fc8733a69
The dispatcher's circuit breaker only protected against spawn-side
failures (profile missing, workspace mount error, exec failure).
Workers that successfully spawned but then timed out or crashed
re-queued to ``ready`` with no counter increment, so the next tick
re-spawned them — loops forever until someone noticed. Reported
externally on Twitter (Forbidden Seeds) and confirmed by walking the
kernel: ``enforce_max_runtime`` flipped the task back to ready, emitted
a ``timed_out`` event, and never touched ``spawn_failures``; same for
``detect_crashed_workers``.
Fix: unify the counter across all non-success outcomes.
Schema
------
* ``tasks.spawn_failures`` → ``tasks.consecutive_failures``
* ``tasks.last_spawn_error`` → ``tasks.last_failure_error``
* Migration renames the columns in-place on existing DBs (``ALTER
TABLE RENAME COLUMN`` — SQLite >= 3.25) so historical counter
values are preserved. Row mappers fall through to the legacy names
if both column renames and a migration somehow got out of sync.
Counter lifecycle
-----------------
New helper ``_record_task_failure(conn, task_id, error, *, outcome,
release_claim, end_run, event_payload_extra)`` is the single point
every non-success outcome funnels through:
* ``spawn_failed`` → ``_record_spawn_failure`` (kept as alias)
calls it with ``release_claim=True, end_run=True`` — transitions
running→ready, clears claim, closes run.
* ``timed_out`` → ``enforce_max_runtime`` already does the status
transition + run close + event emission, then calls
``_record_task_failure`` with ``release_claim=False, end_run=False``
just to bump the counter (and trip the breaker if needed).
* ``crashed`` → ``detect_crashed_workers`` same pattern, but the
counter increment runs after the main write_txn closes (SQLite
doesn't nest write transactions).
If the counter hits the breaker threshold (``DEFAULT_FAILURE_LIMIT=5``,
same as before), the task transitions to ``blocked`` with a ``gave_up``
event on top of whatever outcome-specific event was already emitted.
Reset semantics changed: the counter now clears only on successful
``complete_task`` (and operator ``reclaim_task`` — an explicit "I've
looked at this, try again with a fresh budget"). Previously
``_clear_spawn_failures`` ran on every successful spawn, which would
have wiped the counter before a timeout could accumulate past threshold
— exactly the loop this fix prevents.
Diagnostics
-----------
* ``_rule_repeated_spawn_failures`` → ``_rule_repeated_failures``. Now
fires regardless of which outcome is at fault. Classifies the most
recent failure (spawn_failed / timed_out / crashed) from the run
history so the title ("Agent timeout x3", "Agent crash x4", "Agent
spawn x5") and suggested action (``doctor`` for spawn, ``log`` for
timeout/crash) stay outcome-specific without N duplicate rules.
* ``_rule_repeated_crashes`` kept as a narrower early-warning at
threshold 2 (vs 3 for the unified rule), but now suppresses itself
when the unified rule would also fire — avoids double-flagging.
* Diagnostic ``data`` payload now carries
``{consecutive_failures, most_recent_outcome, last_error}`` instead
of spawn-specific keys.
CLI
---
* ``Task.consecutive_failures`` / ``Task.last_failure_error`` are the
public fields now. Existing callers that referenced the old names
get migrated (tests updated in this commit).
* Backward-compat: ``DEFAULT_SPAWN_FAILURE_LIMIT``,
``_clear_spawn_failures``, ``_record_spawn_failure`` stay as aliases.
Tests
-----
* 6 new kernel tests: timeout increments counter, 3 consecutive
timeouts trip the breaker (was the reported gap), crash increments
counter, reclaim clears counter, completion clears counter, spawn
success does NOT clear counter.
* Diagnostic tests: updated ``repeated_spawn_failures`` cases to use
the new kind name and add a timeout-loop test.
* Dashboard API test: spawn_failures column update → consecutive_failures.
389/389 kanban-suite tests pass.
Live verification
-----------------
Seeded 4 tasks in an isolated HERMES_HOME: 3 timeouts, 4 crashes,
2-spawn-failed + 2-timed-out, and a task that had prior failures but
completed successfully. Board correctly shows "!! 3 tasks need
attention" (the successful one has no badge because the counter
reset). Drawer for the timeout-loop task renders "Agent timeout x3"
with most_recent_outcome=timed_out and the "Check logs" suggested
action (not the spawn-flavoured "Verify profile"). The successful
task has zero diagnostics.
Closes the Forbidden-Seeds-reported gap.
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| .github | ||
| .plans | ||
| acp_adapter | ||
| acp_registry | ||
| agent | ||
| assets | ||
| cron | ||
| datagen-config-examples | ||
| docker | ||
| docs | ||
| environments | ||
| gateway | ||
| hermes_cli | ||
| locales | ||
| nix | ||
| optional-skills | ||
| packaging/homebrew | ||
| plans | ||
| plugins | ||
| providers | ||
| scripts | ||
| skills | ||
| tests | ||
| tinker-atropos@65f084ee80 | ||
| tools | ||
| tui_gateway | ||
| ui-tui | ||
| web | ||
| website | ||
| .dockerignore | ||
| .env.example | ||
| .envrc | ||
| .gitattributes | ||
| .gitignore | ||
| .gitmodules | ||
| .mailmap | ||
| AGENTS.md | ||
| batch_runner.py | ||
| cli-config.yaml.example | ||
| cli.py | ||
| constraints-termux.txt | ||
| CONTRIBUTING.md | ||
| docker-compose.yml | ||
| Dockerfile | ||
| flake.lock | ||
| flake.nix | ||
| hermes | ||
| hermes-already-has-routines.md | ||
| hermes_constants.py | ||
| hermes_logging.py | ||
| hermes_state.py | ||
| hermes_time.py | ||
| LICENSE | ||
| MANIFEST.in | ||
| mcp_serve.py | ||
| mini_swe_runner.py | ||
| model_tools.py | ||
| package-lock.json | ||
| package.json | ||
| pyproject.toml | ||
| README.md | ||
| RELEASE_v0.2.0.md | ||
| RELEASE_v0.3.0.md | ||
| RELEASE_v0.4.0.md | ||
| RELEASE_v0.5.0.md | ||
| RELEASE_v0.6.0.md | ||
| RELEASE_v0.7.0.md | ||
| RELEASE_v0.8.0.md | ||
| RELEASE_v0.9.0.md | ||
| RELEASE_v0.10.0.md | ||
| RELEASE_v0.11.0.md | ||
| RELEASE_v0.12.0.md | ||
| rl_cli.py | ||
| run_agent.py | ||
| SECURITY.md | ||
| setup-hermes.sh | ||
| toolset_distributions.py | ||
| toolsets.py | ||
| trajectory_compressor.py | ||
| utils.py | ||
| uv.lock | ||
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 | Seven terminal backends — local, Docker, SSH, Singularity, Modal, Daytona, and Vercel Sandbox. 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.