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clawlet

Clawlet

Ultra-lightweight and efficient personal AI assistant

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.

macOS (Apple Silicon):

curl -L https://github.com/mosaxiv/clawlet/releases/latest/download/clawlet_Darwin_arm64.tar.gz | tar xz
mv clawlet ~/.local/bin/

Quick Start

# 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):

{
  "env": { "OPENROUTER_API_KEY": "sk-or-..." },
  "agents": { "defaults": { "model": "openrouter/anthropic/claude-sonnet-4-5" } }
}

Agent generation defaults are configurable:

{
  "agents": {
    "defaults": {
      "model": "openrouter/anthropic/claude-sonnet-4-5",
      "maxTokens": 8192,
      "temperature": 0.7
    }
  }
}

Minimal config (Local via Ollama):

{
  "agents": { "defaults": { "model": "ollama/qwen2.5:14b" } }
}

Minimal config (Local via vLLM using the same ollama/ route):

{
  "agents": { "defaults": { "model": "ollama/meta-llama/Llama-3.1-8B-Instruct" } },
  "llm": { "baseURL": "http://localhost:8000/v1" }
}

OpenAI Codex (OAuth):

# one-time login
clawlet provider login openai-codex

# headless environment (SSH / container)
clawlet provider login openai-codex --device-code
{
  "agents": { "defaults": { "model": "openai-codex/gpt-5.1-codex" } }
}

Option: Memory search setup

To enable semantic memory search, add memorySearch to the agent defaults:

{
  "env": {
    "OPENAI_API_KEY": "sk-..."
  },
  "agents": {
    "defaults": {
      "memorySearch": {
        "enabled": true,
        "provider": "openai",
        "model": "text-embedding-3-small"
      }
    }
  }
}

Local embedding (Ollama / OpenAI-compatible local endpoint):

{
  "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):

{
  "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).

Telegram

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):

{
  "channels": {
    "telegram": {
      "enabled": true,
      "token": "123456:ABCDEF...",
      "allowFrom": ["123456789"]
    }
  }
}

Then run:

clawlet gateway
WhatsApp

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):

{
  "channels": {
    "whatsapp": {
      "enabled": true,
      "allowFrom": ["15551234567"]
    }
  }
}

Then run:

# 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.
Discord
  1. Create the bot and copy the token Go to https://discord.com/developers/applications, create an application, then BotAdd Bot. Copy the bot token.

  2. Invite the bot to your server (OAuth2 URL Generator) In OAuth2URL 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):

{
  "channels": {
    "discord": {
      "enabled": true,
      "token": "YOUR_BOT_TOKEN",
      "allowFrom": ["YOUR_USER_ID"]
    }
  }
}
  1. Run
clawlet gateway
Slack

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):

{
  "channels": {
    "slack": {
      "enabled": true,
      "botToken": "xoxb-...",
      "appToken": "xapp-...",
      "groupPolicy": "mention",
      "allowFrom": ["U012345"]
    }
  }
}

Then run:

clawlet gateway

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.

# 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:

# docker-compose.yml
services:
  clawlet:
    image: ghcr.io/mosaxiv/clawlet:latest
    volumes:
      - ~/.clawlet:/root/.clawlet
    command: gateway
    restart: unless-stopped
docker compose up -d

Building Locally

# 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