MonClaw: A Minimal OpenClaw Implementation Using OpenCode SDK
MonClaw is a new minimal implementation of OpenClaw functionality using the OpenCode SDK, offering developers a lightweight alternative for building AI-powered chat assistants.
Key Features
- Telegram adapter — Built with Grammy library for Telegram bot integration
- WhatsApp adapter — Uses Baileys library for WhatsApp connectivity
- Simple memory system — Single markdown file (MEMORY.md) loaded on every message
- Proactive memory updates — Via an OpenCode plugin tool (save_memory)
- Heartbeat task runner — Periodic checklist from heartbeat.md file
- Channel-level whitelist — With disk persistence for security
Auth Model
MonClaw reuses OpenCode existing auth mechanisms. The default path uses createOpencode() so the SDK starts and manages a local OpenCode server. Alternatively, you can set OPENCODE_SERVER_URL to connect to an already-running server.
Quick Start
The project requires Bun runtime. After cloning the repository and installing dependencies, you log in using the OpenCode CLI, configure environment variables (primarily TELEGRAM_BOT_TOKEN), and run the development server.
Available Commands
In Telegram/WhatsApp chat:
/remember— Force-save durable memory/pair— Add account to whitelist/new— Start a new shared session across all channels
The project is experimental and the author recommends exercising caution, especially with sensitive data.
📖 Read the full source: r/openclaw
👀 See Also
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Browser39: A Headless Web Browser for AI Agents
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OpenClaw Multi-Agent Workflow Issues: Stalling, Context Loss, and Token Inefficiency
A developer reports OpenClaw multi-agent workflows frequently stall with agents hanging, experience context leakage despite custom documentation, and consume excessive tokens with no output. The setup used Gemini 3 Pro/Codex models with a COO orchestrator and specialized task agents.