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Connapse
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Connapse

Active·★ 21·MIT·Updated 2026-10-21

Connapse is an open-source knowledge backend that gives AI agents persistent, searchable memory. Upload documents or connect to existing storage like Amazon S3, Azure Blob Storage, or local filesystems. Agents query and build their own research corpus via MCP, REST API, or CLI, deployable in 60 seconds with Docker.

#ai#ai-agents#blazor#docker#document-management#dotnet#embeddings
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#generative-ai
$ Install
$ git clone https://github.com/Destrayon/Connapse.git && cd Connapse && docker-compose up -d
↗ Visit site★ GitHub
01

Features

01Container-Isolated Knowledge with per-project vector indexes and storage connectors
02Hybrid Search combining vector similarity and keyword full-text with configurable fusion
03Multi-Provider AI - swap between Ollama, OpenAI, Azure OpenAI, and Anthropic at runtime
04Index Your Existing Storage - connect MinIO, local filesystem, Amazon S3, or Azure Blob Storage
054 Access Surfaces - Web UI, REST API, CLI, and MCP server with 11 tools for Claude
02

Compatibility

Windows
Windows
Verified via docs
Linux
Linux
Verified via docs
macOS
macOS
Verified via docs
Docker
Docker
Verified via docs
03

Quick start

1
$ git clone https://github.com/Destrayon/Connapse.git
2
$ cd Connapse
3
$ docker-compose up -d
04

Use cases

↳AI agent developers needing a knowledge backend for query and curation via MCP or REST
↳.NET / Azure teams wanting a RAG platform that fits their existing stack and cloud identity
↳Enterprise teams requiring project-isolated knowledge bases with RBAC and audit trails
05

Alternatives

⚡Top VS:
VSTrueMemory★381→VSpensyve★97→VSiai-mcp★911→VS

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Destrayon /
Connapse
↗

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

21MIT
Last commit1d ago
StatusActive
CategoryRAG / Knowledge Base
Links
Documentation↗Discussion↗Issues↗Releases↗
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