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
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AI assistant dialogueIt supports chat mode and task mode, integrates multiple large models, and has the ability to understand context and think deeply.
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Local knowledge baseIt supports multiple document formats, processes data entirely locally, and provides knowledge base management functions for individuals and teams.
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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.
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MCP extension: Connect to external tools and services through the Model Context Protocol to achieve unlimited expansion of AI capabilities.
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Long-term memoryAutomatically extract and remember user preferences and habits to achieve personalized and consistent services across conversations.
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Planned TasksIt provides a graphical interface for configuring scheduled tasks, enabling automated execution without writing code.
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Multi-platform accessIt supports more than 10 communication platforms such as DingTalk, Lark, WeChat Work, and QQ, enabling unified control across multiple devices.
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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
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Download installation packageVisit the ChatClaw website or GitHub to download the installation package for your system.
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One-click installationRun the installer and complete software deployment within 1 minute.
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Launch applicationOpen ChatClaw to enter the graphical user interface.
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Configuration Model ServiceIn the settings, select the AI service provider and fill in the API Key.
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Create a knowledge baseUpload local documents or web links to build your own knowledge base.
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Installation skillsEnter the skills market and install the required function plugins with one click.
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AI dialogueChoose between chat mode for communication or task mode to execute fixed commands.
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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.