* feat(dashboard): nous-blue theme, bulk sessions, schedule picker
Batch of related dashboard improvements gathered on
austin/fix/dashboard-changes:
* Nous Blue theme — faithful port of the LENS_5I overlay system onto
the existing DashboardTheme. Lifts the foreground inversion layer to
z-index 200 to fix the long-standing hover / loading visual artifact,
adds an explicit swatchColors slot so the theme picker shows the
post-inversion preview, and migrates the legacy "lens-5i" theme key
from localStorage / API to "nous-blue" on first read.
* Theme-aware series colors: new --series-input-token /
--series-output-token CSS vars consumed by Analytics + Models
charts; ToolCall + ModelInfoCard switched to semantic
--color-success for diff lines and the Tools capability badge.
* Analytics + Models headers: consolidate period selector + refresh
next to the page title and drop the redundant period badge.
* Bulk session management — "Delete empty (N)" button + per-row
checkboxes with shift-click range select and a bulk-delete action
bar. Backed by SessionDB.delete_sessions() /
delete_empty_sessions() plus POST /api/sessions/bulk-delete and
DELETE /api/sessions/empty (registered before the templated
/api/sessions/{session_id} family so they don't get shadowed).
Hard cap of 500 IDs per bulk request. Full pytest coverage.
* Cron page — human-readable schedule picker (every-interval / daily
/ weekly / monthly / once / custom) replaces the raw cron
expression input; the job list now renders "Weekly on Mon, Wed,
Fri at 14:30" instead of "30 14 * * 1,3,5". English-only ordinals
for monthly schedules so non-English locales don't get incorrect
suffixes.
* example-dashboard plugin moved from plugins/ to tests/fixtures/ so
stock installs no longer ship the demo. Tests install it
dynamically via a pytest fixture that also reorders the FastAPI
routes.
* i18n: 40+ new keys for the bulk-select UI and schedule
picker/describer translated across all 16 locales.
Co-authored-by: Cursor <cursoragent@cursor.com>
* refactor(dashboard): dedupe memory provider picker
The memory provider <Select> lived on both /system and /plugins,
writing the same config.yaml field through two different endpoints
with no cross-page refresh. Remove the picker from /system in favor
of a read-only status row + link to /plugins, where it pairs with
the context-engine picker under "Plugin providers".
/system retains the destructive admin controls (file sizes, Reset
MEMORY.md / USER.md / all). The api.setMemoryProvider client and
PUT /api/memory/provider backend endpoint are left in place for
CLI / script callers.
Co-authored-by: Cursor <cursoragent@cursor.com>
* docs(dashboard): address Copilot review on PR #37383
- Backdrop layer-stack comment claimed LENS_5I-style themes override
--component-backdrop-bg-blend-mode to multiply, but our only
LENS_5I-style theme (nous-blue) keeps the default difference.
Reword to describe what the code actually does and present the
var as a forward-looking extension hook.
- /api/sessions/bulk-delete docstring promised the response would
echo back the list of deleted IDs, but the implementation only
returns {ok, deleted}. Tighten the docstring to match the wire
format; the client already knows what it asked to delete, so the
IDs aren't needed.
Co-authored-by: Cursor <cursoragent@cursor.com>
* fix(dashboard): address copilot review on cron describe + bulk-select checkbox
- schedule.ts: restrict `describeCronExpression` to strictly 5-field cron
expressions. The backend `parse_schedule` also accepts the 6-field
`min hour dom month dow year` form, and humanising those by
destructuring only the first five fields would silently drop the year
(e.g. ``0 9 * * * 2099`` rendered as "Daily at 09:00"). 6+ field
expressions now fall through to the raw-string fallback so the user
sees what's actually scheduled.
- SessionsPage.tsx (SessionRow): wire the bulk-select Checkbox's
``onClick`` directly instead of attaching it to a parent ``<span>``
with a no-op ``onCheckedChange``. Radix forwards onClick to the
underlying ``<button role=checkbox>``, so the same handler now drives
both mouse clicks (preserving shift-key state for range select) and
keyboard activation (Space on the focused checkbox, which the browser
synthesises as a click on the <button>). Improves a11y / keyboard UX
without changing the controlled-selection model.
- SessionsPage.tsx: also extend ``SessionRowProps`` with the new
``onRename`` / ``onExport`` props introduced on main so the row's
destructured prop types resolve after the merge.
Co-authored-by: Cursor <cursoragent@cursor.com>
---------
Co-authored-by: Cursor <cursoragent@cursor.com>
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 | Six terminal backends — local, Docker, SSH, Singularity, Modal, and Daytona. 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)
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://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/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~/.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
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 status. 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 — 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
- 🔌 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.
