SuperAPI AI Directory

ChatClaw - Zhima's open-source AI agent with multi-platform integration

Author: AI小集 · Original source: AI工具集

What is ChatClaw

ChatClaw is an open-source AI agent from Zhima, with a tiny 30MB installer supporting macOS/Windows/Linux. The tool comes with a built-in local knowledge base, skill marketplace, MCP extensions, long-term memory, and scheduled tasks, and can connect to 10+ communication platforms such as DingTalk, Feishu, WeCom, and QQ. ChatClaw is developed in Go, has low resource usage, and provides a graphical interface and a desktop floating ball. No command line is needed to set up a private AI assistant in 5 minutes, making it suitable for ordinary users and small and medium-sized enterprises seeking out-of-the-box usability.

ChatClaw

ChatClaw's main features

  • AI assistant chat: Supports chat mode and task mode, integrates multiple large models, and has context understanding and deep thinking capabilities.
  • Local knowledge base: Supports multiple document formats, processes data entirely locally, and provides personal and team knowledge base management functions.
  • Skill marketplace: Built-in rich skill plugins, one-click installation can extend capabilities such as PPT generation, document processing, and email sending and receiving.
  • MCP extensions: Connects external tools and services through the Model Context Protocol, enabling unlimited expansion of AI capabilities.
  • Long-term memory: Automatically extracts and remembers user preferences and habits, enabling personalized and coherent services across conversations.
  • Scheduled tasks: Provides a graphical interface for configuring scheduled tasks, enabling automated execution without writing code.
  • Multi-platform integration: Supports more than 10 communication platforms such as DingTalk, Feishu, WeCom, and QQ, enabling unified control across multiple endpoints.
  • Sandbox security: Runs code in an isolated sandbox and supports free switching between sandbox and native modes, balancing security and flexibility.

ChatClaw's key information and usage requirements

  • Development team:zhimaAi
  • Product positioning: An OpenClaw-like personal AI agent
  • Core selling points: 5-minute deployment, 30MB installer, 1-minute installation
  • Development language:Go
  • Supported systems:macOS、Windows、Linux
  • Open-source license: Open source and free
  • Interface type: Graphical GUI, no command line required
  • Hardware requirements: Extremely low resource usage, can run smoothly even on old computers; idle state CPU 0.5%, memory 45MB, conversation state CPU 5%, memory 80MB
  • Software requirements: Supports Ollama, Anthropic, OpenAI, and custom model providers; API Key configuration is required to use AI model services

ChatClaw's core advantages

  • Minimalist deployment: 30MB installer, installation completed in 1 minute, and a personal AI agent available in 5 minutes, greatly lowering the barrier to use.
  • Graphical interface: Provides a complete GUI operation experience with no command line required, so ordinary users can also get started easily.
  • Local knowledge base: Supports multiple document formats, processes data entirely locally, ensures privacy and security, and is an alternative to IMA.
  • Low resource usage: Developed in Go, runs fast, and uses only 45-80MB of memory, so it can run smoothly even on old computers.
  • Multi-platform integration: Supports more than 10 mainstream communication applications such as DingTalk, Feishu, WeCom, and QQ, enabling unified control across multiple endpoints.
  • Extensive extension capabilities: The built-in skill marketplace allows one-click plugin installation and supports unlimited extension via the MCP protocol to meet diverse needs.

How to use ChatClaw

  • Download the installer: Visit the ChatClaw official website or GitHub to download the installer for your system.
  • One-click installation: Run the installer and complete software deployment within 1 minute.
  • Launch the application: Open ChatClaw and enter the graphical main interface.
  • Configure model services: In settings, select an AI service provider and enter the API Key.
  • Create a knowledge base: Upload local documents or web links to build a dedicated knowledge base.
  • Install skills: Go to the skill marketplace to install the required feature plugins with one click.
  • AI conversation: Choose chat mode for interaction or task mode to execute fixed instructions.
  • Quick actions: Use the desktop floating ball for text-selection search or one-click assistant wake-up.

ChatClaw project address

  • Project official website:https://ichatclaw.com/
  • GitHub repository:https://github.com/zhimaAi/ChatClaw

Comparison of ChatClaw with similar competitors

Comparison dimension ChatClaw OpenClaw QClaw JVS Claw
Deployment method One-click installation Manual configuration Official website download + invitation code Official website download + invitation code
Interface type Graphical GUI Command line Mini program + desktop client Graphical GUI
Open-source license Open source and free Open source and free Closed source and free Closed source and free
Installer size 30MB Large – –
Deployment time 1 minute Several hours 10 minutes 15 minutes
Knowledge base type Local private Needs to be set up by yourself Cloud + local Mainly cloud-based
Multi-platform support 10+ platforms 15+ platforms Mainly WeChat Alibaba ecosystem
Extension capability MCP protocol ClawHub Skill plaza Limited

ChatClaw application scenarios

  • Personal productivity improvement: Suitable for users who need to quickly obtain information and manage personal knowledge, enabling intelligent document Q&A through a local knowledge base and automating daily chores with scheduled tasks.
  • Enterprise customer service: Suitable for industries such as e-commerce, finance, and logistics, providing 24/7 automated customer service based on a knowledge base, integrating with internal communication platforms such as DingTalk, WeCom, and Feishu to achieve unified multi-platform management and intelligent replies.
  • Team collaboration and office work: Suitable for small and medium-sized enterprise teams, building a shared team knowledge base to accumulate enterprise documents, and quickly generating PPTs, processing Excel, and other office documents through the skill marketplace.
  • Developer tool extension: Suitable for developers who need customized AI capabilities, connecting external data sources and tools through the MCP protocol, and safely executing code in a sandbox environment.