AB
AiBoss
project

ChatClaw - Zhima's open-source AI agent, supporting multi-platform access.

ChatClaw is an open-source AI agent developed by Zhima, with a tiny 30MB installation package supporting macOS/Windows/Linux. The tool includes a built-in local knowledge base, skills marketplace, MCP extensions, long-term memory, and scheduled tasks, and can be integrated with DingTalk, Lark, etc.

What is ChatClaw?

ChatClaw is an open-source AI agent developed by Zhima, with a tiny 30MB installation package supporting macOS, Windows, and Linux. The tool features a built-in local knowledge base, skill marketplace, MCP extensions, long-term memory, and scheduled tasks, and can connect to over 10 communication platforms including DingTalk, Lark, WeChat Work, and QQ. Developed in Go, ChatClaw boasts low resource consumption, a graphical interface, and a desktop floating ball. It allows for the setup of a private AI assistant in just 5 minutes without command-line intervention, making it suitable for ordinary users and small and medium-sized enterprises seeking out-of-the-box functionality.

ChatClaw's main functions

  • AI assistant dialogueIt supports chat mode and task mode, integrates multiple large models, and has the ability to understand context and think deeply.
  • Local knowledge baseIt supports multiple document formats, processes data entirely locally, and provides knowledge base management functions for individuals and teams.
  • Skills MarketIt has a wealth of built-in skill plugins, which can be installed with one click to expand capabilities such as PPT generation, document processing, and email sending and receiving.
  • MCP extension: Connect to external tools and services through the Model Context Protocol to achieve unlimited expansion of AI capabilities.
  • Long-term memoryAutomatically extract and remember user preferences and habits to achieve personalized and consistent services across conversations.
  • Planned TasksIt provides a graphical interface for configuring scheduled tasks, enabling automated execution without writing code.
  • Multi-platform accessIt supports more than 10 communication platforms such as DingTalk, Lark, WeChat Work, and QQ, enabling unified control across multiple devices.
  • Sandbox securityIt uses an isolated sandbox to run code, supporting free switching between sandbox and native modes, balancing security and flexibility.

Key information and usage requirements of ChatClaw

  • Development TeamzhimaAi
  • Product PositioningOpenClaw-like personal AI agents
  • Key selling points5-minute deployment, 30MB installation package, 1-minute installation
  • Programming LanguageGo
  • Support SystemmacOS, Windows, Linux
  • Open source licenseOpen source and free
  • Interface typeGraphical GUI, no command line required
  • Hardware RequirementsExtremely low resource consumption; runs smoothly even on older computers; idle state: CPU 0.5%, memory 45MB; active state: CPU 5%, memory 80MB.
  • Software RequirementsSupports Ollama, Anthropic, OpenAI, and custom model service providers. An API Key needs to be configured to use the AI model service.

ChatClaw's core advantages

  • Minimalist DeploymentThe installation package is only 30MB, and installation can be completed in 1 minute. You can have your own personal AI agent in 5 minutes, which greatly reduces the barrier to entry.
  • Graphical interfaceIt provides a complete GUI operating experience, requiring no command line and making it easy for ordinary users to get started.
  • Local knowledge baseIt supports multiple document formats, processes data entirely locally, and ensures privacy and security, making it an equivalent alternative to IMA.
  • Low resource consumptionDeveloped in Go, it runs fast with a memory footprint of only 45-80MB, making it smooth even on older computers.
  • Multi-platform accessIt supports more than 10 mainstream communication applications such as DingTalk, Lark, WeChat Work, and QQ, enabling unified control across multiple devices.
  • Enriching Expansion CapabilitiesIt features a built-in skills market for one-click plugin installation, supports unlimited expansion via the MCP protocol, and meets diverse needs.

How to use ChatClaw

  • Download installation packageVisit the ChatClaw website or GitHub to download the installation package for your system.
  • One-click installationRun the installer and complete software deployment within 1 minute.
  • Launch applicationOpen ChatClaw to enter the graphical user interface.
  • Configuration Model ServiceIn the settings, select the AI service provider and fill in the API Key.
  • Create a knowledge baseUpload local documents or web links to build your own knowledge base.
  • Installation skillsEnter the skills market and install the required function plugins with one click.
  • AI dialogueChoose between chat mode for communication or task mode to execute fixed commands.
  • Quick OperationUse the desktop floating ball to search by word selection or to wake up the assistant with one click.

ChatClaw's project address

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

ChatClaw's Competitive Product Comparison

Comparison Dimensions ChatClaw OpenClaw QClaw JVS Claw
Deployment method One-click installation Manual configuration Download from official website + invitation code Download from official website + invitation code
Interface type Graphical GUI command line Mini Program + Desktop Graphical GUI
Open source license Open source and free Open source and free Closed-source and free Closed-source and free
Installation package size 30MB Larger
Deployment time 1 minute Hours 10 minutes 15 minutes
Knowledge base types Local private You need to set it up yourself. Cloud + Local Cloud-based
Multi-platform support 10+ platforms 15+ platforms WeChat is the main platform Alibaba ecosystem
Scalability MCP protocol ClawHub Skills Plaza limited

ChatClaw Application Scenarios

  • Personal efficiency improvementSuitable for users who need to quickly access information and manage personal knowledge, it enables intelligent question answering of documents through a local knowledge base and automates daily tasks with the help of scheduled tasks.
  • Enterprise customer serviceSuitable for industries such as e-commerce, finance, and logistics, it provides 24/7 automated customer service based on a knowledge base, and connects with internal communication platforms such as DingTalk, WeChat Work, and Lark to achieve unified management and intelligent response across multiple platforms.
  • Team collaborationSuitable for small and medium-sized enterprise teams, it helps build a shared team knowledge base to store enterprise documents and quickly generate PPTs and process Excel documents through a skills marketplace.
  • Developer tools extensionSuitable for developers who need customized AI capabilities, it connects to external data sources and tools via the MCP protocol and executes code securely in a sandbox environment.