智言平台与普通对话系统有何区别?
它支持多Agent协作、知识库检索、工具调用和MCP集成,具备三层记忆架构,可实现更复杂的任务自动化和个性化对话。
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Basic information
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。
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智言平台(AgentChat)是一个基于大语言模型的现代化智能对话系统,采用前后端分离架构,支持多模型、知识库检索、工具调用和MCP服务器集成,提供AI对话、智能Agent协作及人机协同生成等功能。
克隆项目仓库后,编辑配置并运行docker-compose up --build -d进行Docker部署,或分别在后端执行pip install -r requirements.txt或uv sync,在前端执行npm install && npm run dev启动服务。
它支持多Agent协作、知识库检索、工具调用和MCP集成,具备三层记忆架构,可实现更复杂的任务自动化和个性化对话。
需要Python 3.12+、Node.js 18+、MySQL 8.0+、Redis 7.0+以及Docker 20.10+。
系统支持MySQL (关系数据)、Redis (缓存)以及多种向量数据库(Milvus/ChromaDB),并可选Elasticsearch搜索引擎。
它提供完整的Model Context Protocol支持,运行时动态加载MCP服务器,并支持通过人机协同对话式生成MCP Server。
系统使用前后端分离架构,后端通过FastAPI提供API,认证和权限控制由内置的用户管理系统处理。
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