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AgentChat

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、Milvus 和 ElasticSearch 等技…

Databases

AgentChat is a community MCP server that connects AI assistants like Claude to 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、milvus 和 elasticsearch 等技…. It runs locally on your machine, keeping your data private and giving you full control over the connection. This makes it easy to query and manage your data without leaving your AI assistant.

About AgentChat

Overview

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、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。

Links

Topics

agent, agent-memory, agent-skills, langchain, llm, mcp, mcp-client, mcp-server, mysql, redis

Who Should Use AgentChat?

  • 1Run natural-language queries against your database without writing SQL
  • 2Inspect schemas, tables, and relationships during development
  • 3Automate data exports, migrations, and reporting tasks
  • 4Let AI assistants answer questions directly from your live data

How AgentChat Compares

It runs entirely on your local machine, so no data leaves your environment — important for teams with privacy or compliance requirements.
Compared to other Databases MCP servers, it focuses on a well-scoped set of capabilities, which keeps the integration lightweight and predictable.

Tags

agentagent-memoryagent-skillslangchainllmmcp-clientmysqlredis

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