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。
59.2
🚀 Why Agentchat?
Agentchat is a standout mcp server — gaining momentum with 501 stars, a solid trust score of 59.2/100, and 8 capabilities spanning a wide range of use cases.
API Access
Full programmatic control via REST endpoints
Caching
Leverage caching for enhanced productivity
Database Integration
Seamlessly connect to your data stores
Information-Retrieval
Leverage information-retrieval for enhanced productivity
🔌 Protocols & Compatibility
MCP
⚡ Capabilities
api-integrationcachingdatabaseinformation-retrievallanguage-modelsredissearchsql-queries
🔧 Technical Specifications
| Type | Mcp Server |
| Language | Python |
| Trust Score | 59.2/100 (Good) |
| Stars | ★ 501 |
| Categories | AI & MLData & Analytics |
| Protocols | MCP |
| Source | https://github.com/Shy2593666979/AgentChat |
59.2/100
Trust Score
Well-established with solid validation
501
GitHub Stars
Emerging community interest
—
Unverified
Not yet claimed or verified
Tags:#agent#agent-memory#agent-skills#langchain#llm#mcp#mcp-client#mcp-server
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