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Basic Information

AstrBot is an easy-to-use multi-platform LLM chatbot and a developer-facing framework for building, deploying, and operating chatbots across popular messaging ecosystems. It targets teams and developers who need a single codebase to connect large language models and knowledge bases to channels such as QQ, QQ频道, Telegram, 企微 (Enterprise WeChat), 飞书 (Feishu), and 钉钉 (DingTalk). The project provides infrastructure pieces such as a knowledge base and an MCP server for coordinating message processing and integrations with multiple model providers. It also surfaces community and funding information as part of the repository. The emphasis is on simplifying multi-channel chatbot development and enabling use of a variety of LLM backends without rebuilding channel-specific adapters.

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App Details

Features
The repository advertises multi-platform connectors for QQ, QQ频道, Telegram, 企微, 飞书, and 钉钉. It includes a knowledge base component for retrieval-style or context-enriched conversations and an MCP server intended to coordinate message handling and integrations. AstrBot supports multiple model and API backends, explicitly listing OpenAI, DeepSeek, Gemini, 硅基流动, 月之暗面, Ollama, OneAPI, and Dify as supported providers or adapters. The project is positioned as a development framework that favors extensibility for adding providers and channels. Repository signals include public hosting and sponsorship links indicating community and funding channels. The README and description focus on ease of use and multi-provider, multi-channel interoperability.
Use Cases
AstrBot helps developers and teams reduce engineering overhead when launching LLM-powered chat interfaces across several messaging platforms. By providing prebuilt channel connectors and an MCP server, it removes the need to write separate integrations for QQ, QQ频道, Telegram, 企微, 飞书, and 钉钉. The bundled knowledge base support enables retrieval-augmented or context-aware conversations without custom plumbing. Multi-backend model support lets operators switch or experiment with OpenAI, DeepSeek, Gemini, 硅基流动, 月之暗面, Ollama, OneAPI, and Dify without redesigning the chat stack. The repository’s sponsorship and public presence suggest community support and ongoing maintenance, aiding adopters who want a maintained starting point for multi-platform LLM chatbots.

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