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* feat(lsp): semantic diagnostics from real language servers in write_file/patch
Wire ~26 language servers (pyright, gopls, rust-analyzer, typescript-language-server,
clangd, bash-language-server, ...) into the post-write lint check used by write_file
and patch. The model now sees type errors, undefined names, missing imports, and
project-wide semantic issues introduced by its edits, not just syntax errors.
LSP is gated on git workspace detection: when the agent's cwd or the file being
edited is inside a git worktree, LSP runs against that workspace; otherwise the
existing in-process syntax checks are the only tier. This keeps users on
user-home cwds (Telegram/Discord gateway chats) from spawning daemons.
The post-write check is layered: in-process syntax check first (microseconds),
then LSP semantic diagnostics second when syntax is clean. Diagnostics are
delta-filtered against a baseline captured at write start, so the agent only
sees errors its edit introduced. A flaky/missing language server can never
break a write -- every LSP failure path falls back silently to the syntax-only
result.
New module agent/lsp/ split into:
- protocol.py: Content-Length JSON-RPC framer + envelope helpers
- client.py: async LSPClient (spawn, initialize, didOpen/didChange,
ContentModified retry, push/pull diagnostic stores)
- workspace.py: git worktree walk-up + per-server NearestRoot resolver
- servers.py: registry of 26 language servers (extension match,
root resolver, spawn builder per language)
- install.py: auto-install dispatch (npm install --prefix, go install
with GOBIN, pip install --target) into HERMES_HOME/lsp/bin/
- manager.py: LSPService (per-(server_id, root) client registry, lazy
spawn, broken-set, in-flight dedupe, sync facade for tools layer)
- reporter.py: <diagnostics> block formatter (severity-1-only, 20-per-file)
- cli.py: hermes lsp {status,list,install,install-all,restart,which}
Wired into tools/file_operations.py:
- write_file/patch_replace now call _snapshot_lsp_baseline before write
- _check_lint_delta gains a third tier: LSP semantic diagnostics when
syntax is clean
- All LSP code paths swallow exceptions; write_file's contract unchanged
Config: 'lsp' section in DEFAULT_CONFIG with enabled (default true),
wait_mode, wait_timeout, install_strategy (default 'auto'), and per-server
overrides (disabled, command, env, initialization_options).
Tests: tests/agent/lsp/ -- 49 tests covering protocol framing (encode and
read_message round-trip, EOF/truncation/missing Content-Length), workspace
gate (git walk-up, exclude markers, fallback to file location), reporter
(severity filter, max-per-file cap, truncation), service-level delta filter,
and an in-process mock LSP server that exercises the full client lifecycle
including didChange version bumps, dedup, crash recovery, and idempotent
teardown.
Live E2E verified end-to-end through ShellFileOperations: pyright
auto-installed via npm into HERMES_HOME, baseline captured, type error
introduced, single delta diagnostic surfaced with correct line/column/code/
source, then patch fix removes the diagnostic from the output.
Docs: new website/docs/user-guide/features/lsp.md page covering supported
languages, configuration knobs, performance characteristics, and
troubleshooting; cli-commands.md updated with the 'hermes lsp' reference;
sidebar updated.
* feat(lsp): structured logging, backend gate, defensive walk caps
Cherry-picks the substantive ideas from #24155 (different scope, same
problem space) onto our PR.
agent/lsp/eventlog.py (new): dedicated structured logger
``hermes.lint.lsp`` with steady-state silence. Module-level dedup sets
keep a 1000-write session at exactly ONE INFO line ("active for
<root>") at the default INFO threshold; clean writes log at DEBUG so
they never reach agent.log under normal config. State transitions
(server starts, no project root for a file, server unavailable) fire
at INFO/WARNING once per (server_id, key); novel events (timeouts,
unexpected errors) fire WARNING per call. Grep recipe: ``rg 'lsp\\['``.
agent/lsp/manager.py: wire the eventlog into _get_or_spawn and
get_diagnostics_sync so users can answer "did LSP fire on this edit?"
with a single grep, plus surface "binary not on PATH" warnings once
instead of silently retrying every write.
tools/file_operations.py: backend-type gate. ``_lsp_local_only()``
returns False for non-local backends (Docker / Modal / SSH /
Daytona); ``_snapshot_lsp_baseline`` and ``_maybe_lsp_diagnostics``
now skip entirely on remote envs. The host-side language server
can't see files inside a sandbox, so this prevents pretending to
lint a file the host process can't open.
agent/lsp/protocol.py: 8 KiB cap on the header block in
``read_message``. A pathological server that streams headers
without ever emitting CRLF-CRLF would have looped forever consuming
bytes; now raises ``LSPProtocolError`` instead.
agent/lsp/workspace.py: 64-step cap on ``find_git_worktree`` and
``nearest_root`` upward walks, plus try/except containment around
``Path(...).resolve()`` and child ``.exists()`` calls. Defensive
against pathological inputs (symlink loops, encoding errors,
permission failures mid-walk) — the lint hook is hot-path code and
must never raise.
Tests:
- tests/agent/lsp/test_eventlog.py: 18 tests covering steady-state
silence (clean writes stay DEBUG), state-transition INFO-once
semantics (active for, no project root), action-required
WARNING-once (server unavailable), per-call WARNING (timeouts,
spawn failures), and the "1000 clean writes => 1 INFO" contract.
- tests/agent/lsp/test_backend_gate.py: 5 tests verifying
_lsp_local_only / snapshot_baseline / maybe_lsp_diagnostics skip
the LSP layer for non-local backends and route correctly for
LocalEnvironment.
- tests/agent/lsp/test_protocol.py: new test_read_message_rejects_runaway_header
exercising the 8 KiB cap.
Validation:
- 73/73 LSP tests pass (49 original + 18 eventlog + 5 backend-gate + 1 framer cap)
- 198/198 pass when run alongside existing file_operations tests
- Live E2E re-run with pyright still surfaces "ERROR [2:12] Type
... reportReturnType (Pyright)" through the full path, then patch
fix removes it on the next call.
* feat(lsp): atexit cleanup + separate lsp_diagnostics JSON field
Two improvements salvaged from #24414's plugin-form alternative,
keeping our core-integrated design:
1. atexit cleanup of spawned language servers
----------------------------------------------------------------
``agent/lsp/__init__.get_service`` now registers an ``atexit``
handler on first creation that tears down the LSPService on
Python exit. Without this, every ``hermes chat`` exit was
leaking pyright/gopls/etc. processes for a few seconds while
their stdout buffers drained -- they got reaped by the kernel
eventually but a watchful ``ps aux`` would catch them.
The handler runs once per process (gated by
``_atexit_registered``); idempotent ``shutdown_service``
ensures double-fire is a no-op. Errors during shutdown are
swallowed at debug level since by the time atexit fires the
user has already seen the agent's final response.
2. Separate ``lsp_diagnostics`` field on WriteResult / PatchResult
----------------------------------------------------------------
Previously the LSP layer folded its diagnostic block into the
``lint.output`` string, conflating the syntax-check tier with
the semantic tier. The agent (and any downstream parsers) now
read syntax errors and semantic errors as independent signals:
{
"bytes_written": 42,
"lint": {"status": "ok", "output": ""},
"lsp_diagnostics": "<diagnostics file=...>\nERROR [2:12] ..."
}
``_check_lint_delta`` returns to its original two-tier shape
(syntax check + delta filter); ``write_file`` and
``patch_replace`` independently fetch LSP diagnostics via
``_maybe_lsp_diagnostics`` and pass them into the new field.
``patch_replace`` propagates the inner write_file's
``lsp_diagnostics`` so the outer PatchResult carries the patch's
delta correctly.
Tests: 19 new
- tests/agent/lsp/test_lifecycle.py (8 tests): atexit registration
fires once and only once across N get_service calls; the
registered callable is our internal shutdown wrapper;
shutdown_service is idempotent and safe when never started;
exceptions during shutdown are swallowed; inactive service is
cached so we don't rebuild on every check.
- tests/agent/lsp/test_diagnostics_field.py (11 tests): WriteResult
/ PatchResult dataclass shape, to_dict include/omit semantics,
channel separation (lint and lsp_diagnostics carry independent
signals), write_file populates the field via
_maybe_lsp_diagnostics only when the syntax tier is clean,
patch_replace propagates the field forward from its internal
write_file.
Validation:
- 92/92 LSP tests pass (73 prior + 8 lifecycle + 11 diagnostics field)
- 217/217 pass with file_operations + LSP combined
- Live E2E reverified: clean writes -> both fields empty/none; type
error introduced -> lint clean (parses), lsp_diagnostics carries
the pyright reportReturnType block; patch fix -> both fields
clean again.
* fix(lsp): broken-set short-circuit so a wedged server isn't paid every write
Discovered while auditing failure paths: a language server binary that
hangs (sleep forever, no LSP traffic on stdin/stdout) caused EVERY
subsequent write to re-pay the 8s snapshot_baseline timeout. Five
writes = ~64s of dead time.
The bug: ``_get_or_spawn`` adds the (server_id, root) pair to
``_broken`` inside its inner exception handler, but when the OUTER
``_loop.run`` timeout fires, it cancels the inner task before that
handler runs. The pair never makes it to broken-set, so the next
write re-enters the spawn path and re-pays the timeout.
Fix:
- New ``_mark_broken_for_file`` helper at the service layer marks
the (server_id, workspace_root) pair broken from the OUTSIDE when
the outer timeout fires. Called from the except branches in
``snapshot_baseline``, ``get_diagnostics_sync`` (asyncio.TimeoutError
+ generic Exception). Also kills any orphan client process that
survived the cancelled future, fire-and-forget with a 1s ceiling.
- ``enabled_for`` now consults the broken-set BEFORE returning True.
Files in already-broken (server_id, root) pairs short-circuit to
False, so the file_operations layer skips the LSP path entirely
with no spawn cost. Until the service is restarted (``hermes lsp
restart``) or the process exits.
- A single eventlog WARNING is emitted on first mark-broken so the
user knows which server gave up. Subsequent edits in the same
project stay silent.
Tests: 7 new in tests/agent/lsp/test_broken_set.py — covers the
key shape (server_id, per_server_root), enabled_for short-circuit,
sibling-file skip in same project, project isolation (broken in
A doesn't affect B), graceful no-op for missing-server / no-workspace,
and an end-to-end test that snapshots after a failure and verifies
the next ``enabled_for`` returns False.
Validation:
- Live retest of the wedged-binary scenario: 5 sequential writes,
first 8.88s (the one snapshot timeout), subsequent four ~0.84s
(no LSP cost). Down from 5x12.85s = 64s before this fix.
- 99/99 LSP tests pass (92 prior + 7 broken-set)
- 224/224 pass with file_operations + LSP combined
- Happy path E2E reverified — clean write, type error introduced,
patch fix all behave correctly with the new broken-set logic.
Note: the FIRST write to a wedged binary still pays 8s (the
snapshot_baseline timeout). We could shorten that, but pyright/
tsserver normally take 2-3s and slow CI rust-analyzer can need
5+ seconds, so 8s is the conservative ceiling. Subsequent writes
are instant.
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| .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_bootstrap.py | ||
| 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 | ||
| README.zh-CN.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 | ||
| RELEASE_v0.13.0.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
Linux, macOS, WSL2, Termux
curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash
Windows (native, PowerShell) — Early Beta
Heads up: Native Windows support is early beta. It installs and runs, but hasn't been road-tested as broadly as our Linux/macOS/WSL2 paths. Please file issues when you hit rough edges. For the most battle-tested Windows setup today, run the Linux/macOS one-liner above inside WSL2.
Run this in PowerShell:
irm https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.ps1 | iex
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 supported as an early beta — the PowerShell one-liner above installs everything, but expect rough edges and please file issues when you hit them. If you'd rather use WSL2 (our most battle-tested Windows path), the Linux command works there too. Native Windows install lives under
%LOCALAPPDATA%\hermes; WSL2 installs under~/.hermesas on Linux. The only Hermes feature that currently needs WSL2 specifically is the browser-based dashboard chat pane (it uses a POSIX PTY — classic CLI and gateway both run natively).
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/) — seeCONTRIBUTING.mdfor the full setup.
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.