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* fix(tui): keep Ink displayCursor in sync with fast-echo writes so cursor stops drifting
TextInput's fast-echo bypass writes characters directly to stdout to
avoid waiting on a React re-render for each keystroke. The hardware
cursor advances by text.length cells, but Ink's cached `displayCursor`
(the basis for the next frame's relative cursor-move preamble in
log-update) stayed unchanged. When ANY unrelated component re-rendered
between the fast-echo write and the deferred composer setCur/setParent
flush — status bar timer, streaming reasoning, etc. — the next frame's
preamble emitted a relative cursor move from a stale parked position
and the hardware cursor parked N cells offset from the actual caret.
Visible symptom: extra whitespace between the just-typed character and
the cursor block, intermittent, worse on long sessions during streaming.
Alt-screen was immune because frames begin with absolute CSI H.
This adds a small API in @hermes/ink:
- `Ink.noteExternalCursorAdvance(dx, dy?)` — bumps displayCursor if
set, otherwise seeds from frontFrame.cursor so the next preamble's
relative move correctly cancels the external advance. No-op on
alt-screen.
- `CursorAdvanceContext` + `useCursorAdvance()` hook to expose it.
TextInput then calls `noteCursorAdvance(text.length)` after the
fast-echo `stdout.write(text)` append, and `noteCursorAdvance(-1)`
after the fast-backspace `\b \b` sequence.
Tests: 4 new vitest cases pin the API contract (bumps when set, seeds
from frontFrame.cursor when null, alt-screen no-op, zero-delta no-op).
All 751 ui-tui tests pass; tests/test_tui_gateway_server.py (177) pass.
* fix(tui): also advance cursorDeclaration so fast-echo survives deferred React state
Copilot review on PR #26717 flagged a gap in the original fix:
TextInput's fast-echo path defers the React `cur` state update by
16ms (perf optimization that batches re-renders during heavy typing).
Inside that window, `useDeclaredCursor` still publishes a target
computed from the PRE-keystroke `cur` — `cursorLayout(display, cur,
columns)`. Advancing only `displayCursor` would let any unrelated
re-render in that 16ms window run onRender's cursor-park branch with
the stale declaration and visually undo the fast-echo's advance.
The fix is symmetric: `noteExternalCursorAdvance` now bumps BOTH
`displayCursor` (the log-update relative-move basis) AND, if non-null,
`cursorDeclaration.relativeX/Y` (the target the cursor parks at after
every frame). When React finally flushes `setCur`, `useDeclaredCursor`
publishes a fresh declaration that supersedes our bumped one — exactly
what we want.
Adds two new vitest cases covering both halves:
- active declaration advances in lock-step with displayCursor
- null declaration stays null (no spurious bump)
All 753 ui-tui tests pass; tests/test_tui_gateway_server.py (177) pass.
Closes review threads:
PRRT_kwDOPRF1G86ChKtD (textInput.tsx:1016 fast-echo append)
PRRT_kwDOPRF1G86ChKtF (textInput.tsx:924 fast-backspace)
PRRT_kwDOPRF1G86ChKtG (ink-cursor-advance.test.ts:57 missing coverage)
* fix(tui): make fast-echo survive TextInput rerenders + alt-screen (Copilot round 2)
Round 2 of PR #26717 review. Three real holes Copilot flagged after the
initial cursorDeclaration bump:
1. alt-screen early-return skipped BOTH halves of the notifier. But the
default TUI wraps the composer in <AlternateScreen> — that IS the
production path. CSI H resets log-update's relative-move basis, but
the alt-screen park branch uses absolute CUP =
`rect.x + decl.relativeX`, so a stale declaration there still parks
the cursor at the pre-keystroke caret. Fix: skip ONLY the
displayCursor half on alt-screen; still bump cursorDeclaration.
2. TextInput's own rerender could clobber the Ink-level bump. The fast-
echo path defers setCur by 16ms; if a parent state change rerenders
TextInput in that window, the layout effect inside useDeclaredCursor
reads the stale React `cur` state and re-publishes a declaration at
the OLD column. Fix:
`cursorLayout(display, curRef.current, columns)` — read the always-
up-to-date ref, not the deferred state. useMemo dropped (compute is
cheap, single-line wrap-text in the common case).
3. Tests bypassed the production wiring. Added two structural tests:
- `still advances cursorDeclaration on alt-screen` in the Ink-level
suite, asserting displayCursor stays put but the declaration
advances by the delta.
- `textInputCursorSourceOfTruth.test.ts` pins three structural
invariants: layout reads curRef.current, never the bare `cur`
state, and the fast-echo stdout.write calls remain paired with
noteCursorAdvance(±N). Source-grep invariants > flaky Ink mount
tests for this kind of regression.
757/757 ui-tui tests pass (+3 over round 1). type-check clean. lint
introduces zero new errors on touched files. tests/test_tui_gateway_server.py
(177) pass.
Closes review threads:
PRRT_kwDOPRF1G86ChOG2 (ink.tsx alt-screen guard)
PRRT_kwDOPRF1G86ChOG9 (textInput.tsx fast-backspace rerender window)
PRRT_kwDOPRF1G86ChOHC (textInput.tsx fast-append rerender window)
PRRT_kwDOPRF1G86ChOHJ (alt-screen test asserts wrong invariant)
PRRT_kwDOPRF1G86ChOHP (missing integration-style coverage)
* fix(tui): reject fast-backspace at soft-wrap boundary (Copilot round 3)
PR #26717 round 3. Copilot caught two real things:
1. `\b \b` cannot move the terminal cursor onto the previous visual
row across a soft-wrap boundary. When the caret sits at visual
column 0 of a wrapped row (e.g. value 'hello ' at width 6 →
cursorLayout produces (line 1, col 0)), backspace would leave the
physical cursor in place while the logical caret moves up to the
end of the previous visual line. `noteCursorAdvance(-1)` would then
feed Ink a wrong delta. Fix: `canFastBackspaceShape` now takes the
composer width and rejects when `cursorLayout(value, cursor, columns).column === 0`.
The fast path falls through to the normal Ink render, which
correctly lays out the new caret position. The PR-description
inconsistency about alt-screen is fixed in a separate gh pr edit.
Adds 4 new tests in textInputFastEcho.test.ts pinning the rejection at
exact-multiple wrap boundaries plus a positive control inside a
wrapped line and a back-compat case where `columns` is omitted.
761/761 ui-tui tests pass. type-check / lint clean. 177/177 Python
tests/test_tui_gateway_server.py pass.
Closes review threads:
PRRT_kwDOPRF1G86ChxE5 (textInput.tsx:933 wrap-boundary regression)
* fix(tui): polish doc + tests after Copilot round 4
Three polish points Copilot raised:
1. canFastBackspaceShape doc comment overstated the legacy contract —
said it conservatively rejects potential wrap boundaries when
columns is omitted, but the implementation actually skips the
wrap-boundary check entirely. Reworded to make the legacy behavior
explicit and warn callers not to rely on protection they don't get.
2. ink-cursor-advance.test.ts rationale comment for the
'advances cursorDeclaration in lock-step' case still referenced
the pre-fix `cursorLayout(display, cur, columns)` expression. Now
accurately describes the current source of truth — `curRef.current`
in textInput.tsx — and explains the window the bump is bridging.
3. Removed the three `__get*ForTest` accessors from Ink. The test
file already cast the instance to inspect private state in the
couple of tests that needed declaration mutation; the rest now use
a small `peek(ink)` helper that does the same cast for reads. No
test-only API surface ships in production.
761/761 ui-tui tests pass. type-check clean. lint introduces zero new
errors on touched files. 177/177 tests/test_tui_gateway_server.py pass.
Closes review threads:
PRRT_kwDOPRF1G86Ch23W (canFastBackspaceShape doc accuracy)
PRRT_kwDOPRF1G86Ch23f (stale test rationale)
PRRT_kwDOPRF1G86Ch23p (test-only API surface in production)
* fix(tui): tighten doc + add dy test coverage (Copilot round 5)
Two polish points from round 5:
1. canFastBackspaceShape doc had two paragraphs that conflicted —
the main 'Additionally rejects when the physical cursor sits at
visual column 0' was stated unconditionally, then the columns-param
paragraph qualified that it only happens when columns is passed.
Reworked into clear 'When supplied / When omitted' branches with a
concrete example value ('hello ' returns true without columns even
though it would be unsafe at width 6). No more inconsistency.
2. Added a test asserting cursorDeclaration.relativeY advances when dy
is non-zero. Existing tests exercised dy on displayCursor only.
Newlines in fast-echoed text don't currently hit the bypass
(canFastAppendShape rejects '\n'), but dy is part of the public
notifier contract and must propagate symmetrically with dx so
future callers get a fully-implemented contract.
762/762 ui-tui tests pass (+1). type-check / lint / build clean.
Closes review threads:
PRRT_kwDOPRF1G86Ch6Sz (doc inconsistency)
PRRT_kwDOPRF1G86Ch6TE (missing dy coverage on declaration)
* fix(tui): doc polish (Copilot round 6)
Four small but valid points:
1. textInputCursorSourceOfTruth.test.ts used bare 'fs'/'path'/'url'
imports; the rest of ui-tui consistently uses the 'node:' prefix
(see src/__tests__/useSessionLifecycle.test.ts, src/lib/editor.test.ts).
Switched to node:fs / node:path / node:url to match convention.
2. CursorAdvanceContext.ts type-level doc described only displayCursor.
The notifier intentionally also mutates the active cursorDeclaration
and that's the only part that matters on alt-screen. Reworked the
doc into a two-part 'updates both' summary with the alt-screen
asymmetry called out explicitly.
3. use-cursor-advance.ts hook doc had the same problem. Same fix —
document both pieces of state, both screen modes.
4. App.tsx onCursorAdvance prop comment was incomplete. Same fix —
describe both state updates and the screen-mode asymmetry.
No behavior change. 762/762 ui-tui tests pass. type-check / lint /
build clean.
Closes review threads (auto-resolved on PR but valid critiques):
PRRT_kwDOPRF1G86Ch926 (node: prefix on built-in imports)
PRRT_kwDOPRF1G86Ch92_ (use-cursor-advance.ts doc)
PRRT_kwDOPRF1G86Ch93H (CursorAdvanceContext.ts type doc)
PRRT_kwDOPRF1G86Ch93J (App.tsx prop comment)
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| .github | ||
| .plans | ||
| acp_adapter | ||
| acp_registry | ||
| agent | ||
| assets | ||
| cron | ||
| datagen-config-examples | ||
| docker | ||
| docs | ||
| gateway | ||
| hermes_cli | ||
| locales | ||
| nix | ||
| optional-skills | ||
| packaging/homebrew | ||
| plans | ||
| plugins | ||
| providers | ||
| scripts | ||
| skills | ||
| tests | ||
| tools | ||
| tui_gateway | ||
| ui-tui | ||
| web | ||
| website | ||
| .dockerignore | ||
| .env.example | ||
| .envrc | ||
| .gitattributes | ||
| .gitignore | ||
| .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 | ||
| 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), NovitaAI (AI-native cloud for Model API, Agent Sandbox, and GPU Cloud), 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, 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
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.