Ben Barclay bb597e1c02 fix(cron): managed-cron fires execute in the gateway process (live adapters + dashboard forwarder) (#84339)
* fix(gateway): pass live adapters to cron fire webhook's fire_due

The Chronos fire webhook (/api/cron/fire) called
provider.fire_due(job_id, adapters=None, loop=loop), so every
externally-triggered fire delivered through the standalone path even
with a live gateway in-process. E2EE platforms and relay-fronted
logical platforms (whose ONLY send path is the live relay adapter — no
native credential exists on the box) failed every external fire with
"platform 'X' not configured/enabled", while the same job delivered
fine under the built-in ticker (gateway/run.py passes runner.adapters).

Resolve the runner (self.gateway_runner → app['gateway_runner'] →
_gateway_runner_ref(), the same chain the drain check uses) and forward
its adapters. No runner → adapters=None, preserving the historical
standalone path byte-identically.

Note: does not by itself fix Fly-hosted scale-to-zero deployments where
NAS's callback lands on the DASHBOARD process (internal_port 9119) —
_fire_cron_job_for_profile there has no gateway runner in-process. That
topology needs a separate fire handoff (design pending).

* fix(cron): dashboard forwards Chronos fires to the gateway (503 when unreachable)

The dashboard's /api/cron/fire executed cron jobs in the DASHBOARD
process via _fire_cron_job_for_profile with adapters=None. On hosted
deployments (Fly proxy exposes only the dashboard's port) that made
every managed-cron fire deliver through the standalone send path, which
cannot serve relay-fronted logical platforms (their only sender is the
live relay adapter in the gateway process — no native credential exists
on the box) or E2EE rooms. It also ran the whole agent turn inside the
dashboard: wrong process for memory/session ownership and fire-claim
attribution.

Restore the invariant that the GATEWAY owns cron execution:

- Dashboard route: after verifying the NAS JWT and resolving the job's
  profile, FORWARD the fire to the gateway api_server's own
  /api/cron/fire on loopback, NAS bearer preserved (the gateway
  re-verifies the JWT — defense in depth, no new trust link), and pass
  the gateway's response through. Gateway unreachable → 503 so NAS
  retries per the Chronos contract (non-2xx = retryable; the store CAS
  de-dupes the eventual double fire). Deliberately NO local-execution
  fallback.
- Endpoint resolution mirrors gateway/config.py's api_server load order
  per target profile (config.yaml extra.port → API_SERVER_PORT from
  process env or the profile's .env → 8642), with /p/<profile>/ prefix
  routing under multiplex.
- docker/stage2-hook.sh: generate a strong API_SERVER_KEY into .env on
  first boot when absent (never overwrites an operator value), so the
  loopback api_server passes its startup guard on hosted images. The
  fire route itself is NAS-JWT-authed; the key gates the rest of the
  api_server surface. The listener binds 127.0.0.1 by default and the
  Fly service exposes only the dashboard port.
- _fire_cron_job_for_profile kept but deprecated (late-binding seam
  compatibility); no route calls it.
- docs/chronos-managed-cron-contract.md: document the two-hop inbound
  topology and the 503-retry semantics.

Depends on the previous commit (fire webhook passes live adapters to
fire_due) — together they make NAS→dashboard→gateway fires deliver over
relay end to end.

* fix(cron): read the profile api_server port via the canonical config loader

CI guard test_config_read_guard flagged the new _gateway_fire_endpoint
for a raw yaml.safe_load of the profile's config.yaml — the exact drift
class the guard exists to kill (raw reads miss the managed-scope
overlay, ${ENV_VAR} expansion, and root-model normalization).

Read through load_config() under a HERMES_HOME override scoped to the
target profile instead (the same pattern the deprecated
_fire_cron_job_for_profile uses for its store scope), and pull the port
with cfg_get. Test updated to stub load_config rather than write a raw
config.yaml.

* fix(gateway): only messaging platforms count for the scale-to-zero arm gate

The stage2 hook now generates API_SERVER_KEY for every Docker container,
and key presence force-enables the api_server platform. The scale-to-zero
arm gate counted every enabled platform, so the loopback api_server
listener made messaging_is_relay_only_or_absent False on every hosted
instance — silently disarming the feature (the not-armed log would show
enabled platforms=['relay','api_server']).

The arm gate and the not-armed logger now share one helper that filters
to enabled MESSAGING platforms, excluding LOCAL/API_SERVER/WEBHOOK —
the same non-messaging exclusion set _connect_platforms already uses.
A genuinely enabled direct-socket platform (Discord/Telegram) still
disarms. Two of the three new tests fail without this fix.
2026-08-12 17:04:44 +10:00
2026-08-05 17:50:18 -04:00
2026-08-01 21:17:51 -04:00
2026-08-01 20:49:10 -04:00
…
…

Hermes Agent

Hermes Agent ☤

Hermes Agent | Hermes Desktop

Documentation Discord License: MIT Built by Nous Research 中文 اردو Español

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, OpenAI, your own endpoint, and many others. Switch with hermes model — no code changes, no lock-in.

A real terminal interfaceFull TUI with multiline editing, slash-command autocomplete, conversation history, interrupt-and-redirect, and streaming tool output.
Lives where you doTelegram, Discord, Slack, WhatsApp, Signal, and CLI — all from a single gateway process. Voice memo transcription, cross-platform conversation continuity.
A closed learning loopAgent-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 automationsBuilt-in cron scheduler with delivery to any platform. Daily reports, nightly backups, weekly audits — all in natural language, running unattended.
Delegates and parallelizesSpawn 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 laptopSeven 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-readyBatch trajectory generation, trajectory compression for training the next generation of tool-calling models.

Quick Install

Linux, macOS, WSL2, Termux

curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash

Windows (native, PowerShell)

Heads up: Native Windows runs Hermes without WSL — CLI, gateway, TUI, and tools all work natively. If you'd rather use WSL2, the Linux/macOS one-liner above works there too. Found a bug? Please file issues.

Run this in PowerShell:

iex (irm https://hermes-agent.nousresearch.com/install.ps1)

The installer handles everything: uv, Python 3.11, Node.js, ripgrep, ffmpeg, and a portable Git Bash (MinGit, unpacked to %LOCALAPPDATA%\hermes\git — no admin required, completely isolated from any system Git install). Hermes uses this bundled Git Bash to run shell commands.

If you already have Git installed, the installer detects it and uses that instead. Otherwise a ~45MB MinGit download is all you need — it won't touch or interfere with any system Git.

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 fully supported — the PowerShell one-liner above installs everything. If you'd rather use WSL2, the Linux command works there too. Native Windows install lives under %LOCALAPPDATA%\hermes; WSL2 installs under ~/.hermes as on Linux.

After installation:

source ~/.bashrc    # reload shell (or: source ~/.zshrc)
hermes              # start chatting!

Troubleshooting

Windows Defender or antivirus flags uv.exe as malware

If your antivirus (Bitdefender, Windows Defender, etc.) quarantines uv.exe from the Hermes bin folder (%LOCALAPPDATA%\hermes\bin\uv.exe), this is a false positive. The file is Astral's uv — the Rust Python package manager Hermes bundles to manage its Python environment. ML-based antivirus engines commonly flag unsigned Rust binaries that download and install packages.

To verify your copy is authentic:

# Install GitHub CLI if needed
winget install --id GitHub.cli

# Login to GitHub
gh auth login

# Run verification
$uv = "$env:LOCALAPPDATA\hermes\bin\uv.exe"
$ver = (& $uv --version).Split(' ')[1]
[Net.ServicePointManager]::SecurityProtocol = [Net.SecurityProtocolType]::Tls12
$zip = "$env:TEMP\uv.zip"
Invoke-WebRequest "https://github.com/astral-sh/uv/releases/download/$ver/uv-x86_64-pc-windows-msvc.zip" -OutFile $zip -UseBasicParsing
gh attestation verify $zip --repo astral-sh/uv
Expand-Archive $zip "$env:TEMP\uv_x" -Force
(Get-FileHash "$env:TEMP\uv_x\uv.exe").Hash -eq (Get-FileHash $uv).Hash

If attestation says "Verification succeeded" and the last line prints True, you're good.

To whitelist Hermes:

  • Windows Defender: Run PowerShell as Admin → Add-MpPreference -ExclusionPath "$env:LOCALAPPDATA\hermes\bin"
  • Bitdefender: Add an exception in the Bitdefender console (Protection > Antivirus > Settings > Manage Exceptions)
  • Whitelist the folder, not the file hash — Hermes updates uv and the hash changes every version

For more context, see the upstream Astral reports: astral-sh/uv#13553, astral-sh/uv#15011, astral-sh/uv#10079.


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 config get   # Print 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

📖 Full documentation →


Skip the API-key collection — Nous Portal

Hermes works with whatever provider you want — that's not changing. But if you'd rather not collect five separate API keys for the model, web search, image generation, TTS, and a cloud browser, Nous Portal covers all of them under one subscription:

  • 300+ models — pick any of them with /model <name>
  • Tool Gateway — web search (Firecrawl), image generation (FAL), text-to-speech (OpenAI), cloud browser (Browser Use), all routed through your sub. No extra accounts.

One command from a fresh install:

hermes setup --portal

That logs you in via OAuth, sets Nous as your provider, and turns on the Tool Gateway. Check what's wired up any time with hermes portal info. Full details on the Tool Gateway docs page.

You can still bring your own keys per-tool whenever you want — the gateway is per-backend, not all-or-nothing.


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 — use the standard installer, then work from the full git checkout it creates at $HERMES_HOME/hermes-agent (usually ~/.hermes/hermes-agent). This matches the layout used by hermes update, the managed venv, lazy dependencies, gateway, and docs tooling.

curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
cd "${HERMES_HOME:-$HOME/.hermes}/hermes-agent"
uv pip install -e ".[all,dev]"
scripts/run_tests.sh

Manual clone fallback (for throwaway clones/CI where you intentionally do not want the managed install layout):

Create the venv outside the cloned source tree — a venv inside the directory the agent operates from can be wiped by a relative-path command the agent runs against its own checkout, destroying the running runtime mid-session.

curl -LsSf https://astral.sh/uv/install.sh | sh
uv venv ~/.hermes/venvs/hermes-dev --python 3.11
source ~/.hermes/venvs/hermes-dev/bin/activate
uv pip install -e ".[all,dev]"
scripts/run_tests.sh

Community

  • 💬 Discord
  • 📚 Skills Hub
  • 🐛 Issues
  • 🔌 computer-use-linux — Linux desktop-control MCP server for Hermes and other MCP hosts, with AT-SPI accessibility trees, Wayland/X11 input, screenshots, and compositor window targeting.
  • 🔌 HermesClaw — Community WeChat bridge: Run Hermes Agent and OpenClaw on the same WeChat account.

License

MIT — see LICENSE.

Built by Nous Research.

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