AstrBot
Update:2026-06-27
⭐ Stars：35,400
🍴 Forks：2,500
General
With the big language model andAgentTechnology is breaking out, and the developers are going to…AIWhen capacity falls into the day-to-day workflow, two main pains are often encountered: the mainstream instant communication platform (e.g., business micro-letters, flybooks, etc.)QQ、Telegram(EXCLAIMING)APIThe interfaces vary widely and the multiple-end fit costs are extremely high; the second is the frequent and frequent rotation of the base of the large model, which lacks a unified framework for efficient movement modelling, managing plugins and safely performing complex tasks.AstrBotIt was born to address the fragmentation of this infrastructure, with the aim of providing a fully functional, scalable one.AI AgentRobot bottom platform.
In terms of structure and implementation, the project is based onPythonBuild, use a unified event-driven mechanism to bridge different bridgesIMPlatform and model service. It’s introduced.MCP（Model Context ProtocolThe standard, skills system and knowledge base modules have been automated for context compression and multi-model data processing.AstrBotThe core builds a quarantined one.AgentSandbox environment, let’s go.AICode orShellCallable with controlsessionImplementation is carried out at the level of resources, thus balancing flexibility with system security.
In the end,AstrBotIt’s a case-opening for individuals, developers and business teams.AIApply the build platform. It supports a key to a mainstream model (e.g., a key)OpenAI、Anthropic、Gemini、DeepSeekand low codeAgentPlatforms (e.g.,Dify、CozeI’m a member of the group.WebWeb search completeAgentCapability. This project applies to building individualsAIThe events were attended by assistants, smart customer service, the corporate knowledge base and automated workflow assistants across the platform.
Technical Repository
Python 3.12+: Core development language, using its ecologyAILogical scheduling with simultaneous distribution.
FastAPI: Backend CoreWebFramework, for high performance.APIRoute management interacts with back-end data.
Vue & TypeScript: for constructionWebUIandChatUIPanel, which provides visual robot configurations and dialogue interfaces.
MCP (Model Context Protocol): Integrated model context protocol for standardizationAgentLinks with external tools, context.
Docker / uv: Provides a fast initialization capability for containerization isolation and single orders as the main deployment and package management tool.
Faiss: for local vector storage and similarity search, which supports the knowledge baseRAGFunction (retrieval enhancement generation).
Scope / Impact
Scope of application: For crossIMPlatform (Pilot)QQWe’ll be back in the morning.Telegram、Slack、Discord(c) Smart transformation, including automated office assistants, emotional accompaniment robots, corporate intellectual services, technical support of the knowledge base and multi-model content processing workflows.
Impact: the project is inGitHub♪ Got more than35kIt’s…Stars, with active developers community (established)14One.QQCommunities andDiscord# Servers # and beHelloGitHubThe main sources of information are open-sourced.AIRobot lover.