mosaxiv/clawlet

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Última actividad de origen registrada: 12 de febrero de 2026 a las 09:04

Catálogo de SkillsMP actualizado: 17 de octubre de 2026 a las 00:09

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<div align="center"> <img src="clawlet.png" alt="clawlet" width="500"> <h1>Clawlet</h1> <h3>Ultra-lightweight and efficient personal AI assistant</h3> </div> **Clawlet** is a lightweight personal AI agent with hybrid semantic memory search — a single static binary with no runtime and no CGO. Bundled SQLite + sqlite-vec. Drop it on any machine and memory search just works. This project is inspired by **OpenClaw** and **nanobot**. ## Install Download from [GitHub Releases](https://github.com/mosaxiv/clawlet/releases/latest). macOS (Apple Silicon): ```bash curl -L https://github.com/mosaxiv/clawlet/releases/latest/download/clawlet_Darwin_arm64.tar.gz | tar xz mv clawlet ~/.local/bin/ ``` ## Quick Start ```bash # Initialize clawlet onboard \ --openrouter-api-key "sk-or-..." \ --model "openrouter/anthropic/claude-sonnet-4.5" # Check effective configuration clawlet status # Chat clawlet agent -m "What is 2+2?" ``` ## Configuration (`~/.clawlet/config.json`) Config file: `~/.clawlet/config.json` ### Supported providers clawlet currently supports these LLM providers: - **OpenAI** (`openai/<model>`, API key: `env.OPENAI_API_KEY`) - **OpenAI Codex (OAuth)** (`openai-codex/<model>`, no API key; login: `clawlet provider login openai-codex`) - **OpenRouter** (`openrouter/<provider>/<model>`, API key: `env.OPENROUTER_API_KEY`) - **Anthropic** (`anthropic/<model>`, API key: `env.ANTHROPIC_API_KEY`) - **Gemini** (`gemini/<model>`, API key: `env.GEMINI_API_KEY` or `env.GOOGLE_API_KEY`) - **Local (Ollama / vLLM / OpenAI-compatible local endpoint)** (`ollama/<model>` or `local/<model>`, default base URL: `http://localhost:11434/v1`, API key optional) Minimal config (OpenRouter): ```json { "env": { "OPENROUTER_API_KEY": "sk-or-..." }, "agents": { "defaults": { "model": "openrouter/anthropic/claude-sonnet-4-5" } } } ``` Agent generation defaults are configurable: ```json { "agents": { "defaults": { "model": "openrouter/anthropic/claude-sonnet-4-5", "maxTokens": 8192, "temperature": 0.7 } } } ``` Minimal config (Local via Ollama): ```json { "agents": { "defaults": { "model": "ollama/qwen2.5:14b" } } } ``` Minimal config (Local via vLLM using the same `ollama/` route): ```json { "agents": { "defaults": { "model": "ollama/meta-llama/Llama-3.1-8B-Instruct" } }, "llm": { "baseURL": "http://localhost:8000/v1" } } ``` OpenAI Codex (OAuth): ```bash # one-time login clawlet provider login openai-codex # headless environment (SSH / container) clawlet provider login openai-codex --device-code ``` ```json { "agents": { "defaults": { "model": "openai-codex/gpt-5.1-codex" } } } ``` ### Option: Memory search setup To enable semantic memory search, add `memorySearch` to the agent defaults: ```json { "env": { "OPENAI_API_KEY": "sk-..." }, "agents": { "defaults": { "memorySearch": { "enabled": true, "provider": "openai", "model": "text-embedding-3-small" } } } } ``` Local embedding (Ollama / OpenAI-compatible local endpoint): ```json { "agents": { "defaults": { "memorySearch": { "enabled": true, "provider": "openai", "model": "nomic-embed-text", "remote": { "baseURL": "http://localhost:11434/v1" } } } } } ``` When enabled: - The agent gains `memory_search` and `memory_get` tools for retrieving past context. - clawlet indexes `MEMORY.md`, `memory.md`, and `memory/**/*.md` for retrieval. - The index DB is created at `{workspace}/.memory/index.sqlite`. When disabled (default): - `memorySearch.enabled` defaults to `false`; the search tools are not exposed to the model. - Memory files (`memory/MEMORY.md`, `memory/YYYY-MM-DD.md`) are still injected into context as usual. - Normal chat behavior is otherwise unchanged. ## Security ### Secure Defaults - `tools.restrictToWorkspace` defaults to `true` (tools can only access files inside the workspace directory) - `gateway.listen` defaults to `127.0.0.1:18790` - `gateway.allowPublicBind` defaults to `false` ### Security Checklist | Item | Status | Details | | --- | --- | --- | | Gateway not publicly exposed | ✅ | Default bind is localhost only. Public bind is rejected unless `gateway.allowPublicBind=true` is explicitly set. | | Filesystem scoped (no `/`) | ✅ | File tools block root path, path traversal, encoded traversal, symlink escapes, and sensitive state paths. | | Exec tool dangerous-command guard | ✅ | `exec` blocks unsafe shell constructs (command chaining, unsafe expansions, redirection/`tee`, dangerous patterns), blocks sensitive paths, and passes only allowlisted environment variables to subprocesses. | ## Tools ### Multimodal input (audio/image/attachments) Inbound channel messages can include attachments. clawlet can: - send images to vision-capable models, - transcribe audio using the configured provider, - and inline text-like file attachments into the user context. Configure under `tools.media` (the values below are the current default values): ```json { "tools": { "media": { "enabled": true, "audioEnabled": true, "imageEnabled": true, "attachmentEnabled": true, "maxAttachments": 4, "maxFileBytes": 20971520, "maxInlineImageBytes": 5242880, "maxTextChars": 12000, "downloadTimeoutSec": 20 } } } ``` ## Chat Apps Chat app integrations are configured under `channels` (examples below). <details> <summary><b>Telegram</b></summary> Uses **Telegram Bot API long polling** (`getUpdates`) so no public webhook endpoint is required. 1. Create a bot with `@BotFather` and copy the bot token. 2. (Optional but recommended) Restrict access with `allowFrom`. - Telegram numeric user ID works best. - Username is also supported (without `@`). Example config (merge into `~/.clawlet/config.json`): ```json { "channels": { "telegram": { "enabled": true, "token": "123456:ABCDEF...", "allowFrom": ["123456789"] } } } ``` Then run: ```bash clawlet gateway ``` </details> <details> <summary><b>WhatsApp</b></summary> Uses **WhatsApp Web Multi-Device**. No Meta webhook/public endpoint is required. 1. Enable channel and (recommended) set `allowFrom`. 2. Run login once: - `clawlet channels login --channel whatsapp` - Scan the QR shown in terminal from WhatsApp `Linked devices`. 3. Start normal runtime with `clawlet gateway`. Example config (merge into `~/.clawlet/config.json`): ```json { "channels": { "whatsapp": { "enabled": true, "allowFrom": ["15551234567"] } } } ``` Then run: ```bash # one-time login (required before gateway) clawlet channels login --channel whatsapp # normal runtime clawlet gateway ``` Notes: - Send retries are applied for transient/rate-limit errors with exponential backoff. - Session state is persisted by default at `~/.clawlet/whatsapp-auth/session.db`. - You can override store path with `sessionStorePath` if needed. - `clawlet gateway` does not perform QR login; if not linked, it exits with a login command hint. </details> <details> <summary><b>Discord</b></summary> 1. Create the bot and copy the token Go to https://discord.com/developers/applications, create an application, then `Bot` → `Add Bot`. Copy the bot token. 2. Invite the bot to your server (OAuth2 URL Generator) In `OAuth2` → `URL Generator`, choose `Scopes: bot`. For `Bot Permissions`, the minimal set is `View Channels`, `Send Messages`, `Read Message History`. Open the generated URL and add the bot to your server. 3. Enable Message Content Intent (required for guild message text) In the Developer Portal bot settings, enable **MESSAGE CONTENT INTENT**. Without it, the bot won't receive message text in servers. 4. Get your User ID (for allowFrom) Enable Developer Mode in Discord settings, then right-click your profile and select `Copy User ID`. 5. Configure clawlet `channels.discord.allowFrom` is the list of user IDs allowed to talk to the agent (empty = allow everyone). Example config (merge into `~/.clawlet/config.json`): ```json { "channels": { "discord": { "enabled": true, "token": "YOUR_BOT_TOKEN", "allowFrom": ["YOUR_USER_ID"] } } } ``` 6. Run ```bash clawlet gateway ``` </details> <details> <summary><b>Slack</b></summary> Uses **Socket Mode** (no public URL required). clawlet currently supports Socket Mode only. 1. Create a Slack app 2. Configure the app: - Socket Mode: ON, generate an App-Level Token (`xapp-...`) with `connections:write` - OAuth scopes (bot): `chat:write`, `reactions:write`, `app_mentions:read`, `im:history`, `channels:history` - Event Subscriptions: subscribe to `message.im`, `message.channels`, `app_mention` 3. Install the app to your workspace and copy the Bot Token (`xoxb-...`) 4. Set `channels.slack.enabled=true`, and configure `botToken` + `appToken`. - groupPolicy: "mention" (default — respond only when @mentioned), "open" (respond to all channel messages), or "allowlist" (restrict to specific channels). - DM policy defaults to open. Set "dm": {"enabled": false} to disable DMs. Example config (merge into `~/.clawlet/config.json`): ```json { "channels": { "slack": { "enabled": true, "botToken": "xoxb-...", "appToken": "xapp-...", "groupPolicy": "mention", "allowFrom": ["U012345"] } } } ``` Then run: ```bash clawlet gateway ``` </details> ## CLI Reference | Command | Description | | --- | --- | | `clawlet onboard` | Initialize a workspace and write a minimal config. | | `clawlet status` | Print the effective configuration (after defaults and routing). | | `clawlet agent` | Run the agent in CLI mode (interactive or single message). | | `clawlet gateway` | Run the long-lived gateway (channels + cron + heartbeat). | | `clawlet channels status` | Show which chat channels are enabled/configured. | | `clawlet cron list` | List scheduled jobs. | | `clawlet cron add` | Add a scheduled job. | | `clawlet cron remove` | Remove a scheduled job. | | `clawlet cron toggle` | Enable/disable a scheduled job. | | `clawlet cron run` | Run a job immediately. | ### `clawlet cron add` formats `--message` is required, and exactly one of `--every`, `--cron`, or `--at` must be set. ```bash # Every N seconds clawlet cron add --message "summarize my inbox" --every 3600 # Cron expression (5-field) clawlet cron add --message "daily standup notes" --cron "0 9 * * 1-5" # Run once at a specific time (RFC3339) clawlet cron add --message "remind me" --at "2026-02-10T09:00:00Z" # Deliver to a chat (requires both --channel and --to) clawlet cron add --message "ping" --every 600 --channel slack --to U012345 ``` ## 🐳 Docker ### Using Pre-built Images Pre-built images are available on GitHub Container Registry: ```yaml # docker-compose.yml services: clawlet: image: ghcr.io/mosaxiv/clawlet:latest volumes: - ~/.clawlet:/root/.clawlet command: gateway restart: unless-stopped ``` ```bash docker compose up -d ``` ### Building Locally ```bash # Build the image docker build -t clawlet . # Initialize config (first time only) docker run -v ~/.clawlet:/root/.clawlet --rm clawlet onboard # Edit config on host to add API keys vim ~/.clawlet/config.json # Run the gateway docker run -v ~/.clawlet:/root/.clawlet clawlet gateway # Or run a single command docker run -v ~/.clawlet:/root/.clawlet --rm clawlet agent -m "Hello" docker run -v ~/.clawlet:/root/.clawlet --rm clawlet status ```

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