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AgentChat

Active·★ 728·MIT·Updated 2026-04-15
★ Multi-Agent★ RAG / Knowledge Base

AgentChat 是一个基于 LLM 的智能体交流平台,内置默认 Agent 并支持用户自定义 Agent。通过多轮对话和任务协作,Agent 可以理解并协助完成复杂任务。项目集成 LangChain、Function Call、MCP 协议、RAG、Memory、HITL、Skill、Milvus 和 ElasticSearch 等技术,实现高效的知识检索与工具调用,使用 FastAPI 构建高性能后端服务。

AgentChat is a modern intelligent conversation system built on large language models. It features a front-end and back-end separation architecture, supporting multiple AI models, knowledge base retrieval, tool invocation, and MCP server integration. The system includes a three-layer memory architecture for personalized dialogue experiences.

#agent#agent-memory#agent-skills#human-in-the-loop#langchain#llm#mcp#mcp-client
$ Install
$ git clone https://github.com/Shy2593666979/AgentChat.git && cd AgentChat && cd docker && docker-compose up --build -d
↗ Visit site★ GitHub
01

Features

01Intelligent Agent collaboration with Sub-Agents
02Knowledge base retrieval using RAG technology
03Built-in tool ecosystem with custom extension support
04MCP (Model Context Protocol) server integration
05Three-layer memory: short-term, history summary, long-term
02

Compatibility

Python
Python 3.12+
Verified via docs
Node.js
Node.js 18+
Verified via docs
MySQL
MySQL 8.0+
Verified via docs
Redis
Redis 7.0+
Verified via docs
Docker
Docker 20.10+
Verified via docs
03

Quick start

1
$ git clone https://github.com/Shy2593666979/AgentChat.git
2
$ cd AgentChat
3
$ cd docker
4
$ docker-compose up --build -d
04

Use cases

↳Intelligent conversation with AI agents
↳Knowledge-based Q&A using RAG
↳Automated task planning and tool invocation workflows
05

Alternatives

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The official C# SDK for Model Context Protocol servers and clients. Maintained in collaboration with Microsoft.
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See all alternatives →

Related searches

AgentChat AlternativesBest RAG / Knowledge Base Tools 2026Open Source RAG / Knowledge BaseAgentChat TutorialAgentChat Vs Competitorsagentagent-memoryagent-skills

Comments

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  • R
    Rebel PatelMay 22, 2026

    Anyone managed to connect this with custom Ollama endpoints? The default models work great but want to run it local.

  • L
    Lane AndersonApr 30, 2026

    Really impressed with how naturally the multi-agent orchestration handles complex multi-step tasks.

  • E
    Ellis MartinezApr 23, 2026

    Setup was smooth on Node 20, but make sure to configure your MCP server credentials correctly first.

  • E
    Elliot DavisMar 27, 2026

    Integrating this into our customer support routing system saved us days of manual LangChain setup.

  • E
    Ellis GarciaMar 11, 2026

    Having human-in-the-loop validation built directly into the agent workflow is a huge lifesaver.

On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
Stats
GitHub Stars★ 728
Last commit1mo ago
StatusActive
LicenseMIT
CategoryRAG / Knowledge Base
Trend (30d)
+29.1↑ 0.7%
Links
Documentation↗Discussion↗Issues↗Releases↗

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