destrayon/connapse

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20 stars 6 forks 品質 80 トレンド 30MIT

Open-source, self-hosted knowledge backend for AI agents — hybrid search (vector + keyword), MCP server, 5 connectors, Docker-ready

概要

Stop losing context between AI sessions. Give your agents persistent, searchable memory. Your AI agents forget everything between sessions. Connapse fixes that. Every time you start a new conversation, your AI agent starts from zero — no memory of past research, no access to your documents, no accumulated knowledge. Connapse is an open-source knowledge backend that gives agents persistent, searchable memory. Upload documents or point it at your existing Amazon S3 buckets or local filesystems. Agents query and build their own research corpus via 11 MCP tools, REST API, or CLI. Container-isolated, hybrid search (vector + keyword), self-hosted and private. Deploy in 60 seconds with Docker. Built on .NET 10. 🤖 AI Agent Integration — Claude queries and builds your knowledge base via MCP AI agents query your knowledge base through the MCP server, receiving structured answers with source citations from your documents.

README

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Stop losing context between AI sessions. Give your agents persistent, searchable memory.

Your AI agents forget everything between sessions. Connapse fixes that.

Every time you start a new conversation, your AI agent starts from zero — no memory of past research, no access to your documents, no accumulated knowledge. Connapse is an open-source knowledge backend that gives agents persistent, searchable memory. Upload documents or point it at your existing Amazon S3 buckets or local filesystems. Agents query and build their own research corpus via 11 MCP tools, REST API, or CLI. Container-isolated, hybrid search (vector + keyword), self-hosted and private. Deploy in 60 seconds with Docker. Built on .NET 10.

GitHub で README 全文を見る

インストール

This server does not publish a one-line install command.

Open the repository installation guide MCP 初心者？mcpskill.org のガイドから始めましょう →

設定

{
  "mcpServers": {
    "connapse": {
      "transport": "streamable-http",
      "url": "http://localhost:5001/mcp",
      "headers": {
        "X-Agent-Api-Key": "YOUR_API_KEY"
      }
    }
  }
}