zhimaAi/ChatClaw — ChatClaw: Get OpenClaw-like knowledge base personal AI agent in 5 mins.

Description and use

**Brief Summary (2‑3 sentences)**
ChatClaw is an ultra‑light (≈30 MB) Go‑based AI agent that can be installed on macOS or Windows in under a minute and instantly connects to a wide range of everyday tools—WhatsApp, Telegram, Slack, Discord, Gmail, DingTalk, WeChat Work, QQ, Feishu, etc. It ships with a built‑in skill market, knowledge‑base/RAG, persistent memory, MCP (Model Context Protocol) support, and scheduled‑task automation, making it a ready‑to‑use personal AI assistant for both developers and power users.

**Value**

• **Unified integration layer**: By exposing a standard MCP/SDK/CLI, ChatClaw lets any LLM‑powered assistant talk to real‑world services without custom glue code, accelerating the “AI‑as‑a‑tool” workflow.
• **Rapid deployment**: The 30 MB installer and one‑minute setup lower the barrier for pilots, proofs‑of‑concept, and internal tooling experiments.
• **Extensible ecosystem**: The built‑in skill market and knowledge‑base enable teams to share and reuse custom actions, reducing duplicated effort across projects.

**Practical Adoption Path**

1. **Pilot** – Download the installer on a dev workstation, run the 1‑minute setup, and configure a few connectors (e.g., Slack + Gmail) via the provided UI or CLI.
2. **Extend** – Use the Go SDK or the exposed MCP endpoints to develop custom skills or integrate proprietary services; publish them to the internal skill market.
3. **Scale** – Deploy the same lightweight binary to production VMs or containers, enable scheduled tasks for automation, and optionally run a clustered MCP server for higher throughput.

**Production Readiness**

• **Activity & community**: 282 ★, 54 forks, recent commits (as of 2026‑05‑13) and multiple integration topics indicate an active project.
• **Stability**: The small codebase in Go, clear API surface, and sandboxed execution model make it easy to audit and hard to break.
• **Risks**: Licensing terms, long‑term maintainer commitment, and a formal security audit still need verification, but no major red flags appear. Overall, ChatClaw is mature enough for a serious pilot and, with a brief security review, can be promoted to production use.

Problem

zhimaAi/ChatClaw helps connect AI assistants to real tools and data through a standard protocol.

Outcome

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

Workflow

• connect AI agents to tools
• ship Model Context Protocol servers
• standardize integrations

Evidence

ChatClaw: Get OpenClaw-like knowledge base personal AI agent in 5 mins. Sandbox-secured, ultra-small 30MB installer for macOS & Windows (install in 1 min). Connects to WhatsApp, Telegram, Slack, Discord, Gmail, DingTalk, WeChat Work, QQ, Feishu. Built-in Skill Market, Knowledge Base, Memory, MCP, Scheduled Tasks. Developed in Go ,run

Source