ClaudeClaw: Free Claude Code Plugin for Persistent AI Agents on Messaging Platforms

ClaudeClaw is a free, open-source Claude Code plugin that runs Claude as a persistent agent on messaging channels like Slack, WhatsApp, and Telegram. It's not a hosted service—you clone and run it locally, bringing your own Anthropic API key.
Key Details
The project is a fork of NanoClaw rebuilt as a plugin, with sandbox runtime, webhook triggers, memory system, cost tracking, and extension system added in 2 days. It's written in TypeScript (~8K lines) with 355 tests.
Installation and Setup
Installation requires:
- macOS or Linux
- Node.js 20+
- Claude Code (free)
- Your own Anthropic API key
Install with:
git clone https://github.com/sbusso/claudeclaw
cd claudeclaw && claude
# type: /setupFeatures
- 100% free and open source (MIT license)
- Claude Code plugin (not standalone—leverages Claude Code's tools, skills, hooks)
- OS-level sandbox isolation via Anthropic's sandbox-runtime (<10ms cold starts)
- Composable extension system—
/install-extension slackto add Slack - Structured memory (daily logs, topic files, searchable archive)
- Per-group agent config (model, effort, tools, cost limits)
- Self-hosted—runs on your machine, your data stays local
What It Does
ClaudeClaw listens to Slack/WhatsApp/Telegram, routes messages to Claude agents running in OS-level sandboxes, manages memory across conversations, and handles scheduled tasks and webhooks. The developer built it because they needed Claude answering support questions in their Slack 24/7, not just when they had a terminal open. They found existing frameworks like OpenClaw too large to audit and wanted something small enough to read end-to-end.
📖 Read the full source: r/openclaw
👀 See Also

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iai-mcp: A local daemon for persistent OpenClaw memory across sessions
iai-mcp is an open-source daemon that captures all OpenClaw conversations, stores them in three memory tiers with local neural embeddings and AES-256 encryption, and feeds relevant context back on new sessions — verbatim recall >99%, retrieval <100ms, session-start cost <3k tokens.

A/B Test Results: oh-my-claudecode Hooks Show Minimal Impact on Claude Code Performance
A developer spent 7% of their weekly Max20 tokens testing oh-my-claudecode hooks with Claude Sonnet 4.6, finding no meaningful improvement in code quality or cost for a single-session coding task.