Connapse logo
Connapse
★ 21
vs
MaxKB logo
MaxKB
★ 23.0k

Connapse vs MaxKB

Connapse: 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.; MaxKB: MaxKB is an open-source platform for building enterprise-grade AI agents with integrated RAG pipelines, workflow orchestration, and MCP tool-use capabilities. It supports direct document upload, automatic web crawling, and multiple embedding models for knowledge base construction. Widely used for intelligent customer service, internal knowledge bases, and academic research applications.

01

TL;DR

Connapse logo
ConnapseRAG / Knowledge Base · ★ 21

AI agent developers needing a knowledge backend for query and curation via MCP or REST

MaxKB logo
MaxKBRAG / Knowledge Base · ★ 23.0k
When to choose:
  • You want an all-in-one knowledge-base and workflow agent platform that starts with a single Docker command and embeds easily into websites.
  • You need broad support for domestic Chinese LLM providers alongside global models for internal enterprise Q&A.
When to skip:
  • You cannot use GPL-3.0 licensed software in your commercial distribution; RAGFlow is Apache-2.0.
  • Your primary bottleneck is extracting complex tables and layouts from messy scanned PDFs; RAGFlow's deep document parser goes further.
02

Side-by-Side Comparison

Field
Connapse logoConnapse
MaxKB logoMaxKB
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 21
★ 23.0k
License
MIT
GPL-3.0
Install Command
git clone https://github.com/Destrayon/Connapse.git && cd Connapse && docker-compose up -d
docker run -d --name=maxkb --restart=always -p 8080:8080 -v ~/.maxkb:/opt/maxkb 1panel/maxkb
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
ai, ai-agents, blazor
RAG, Agent, LLM
03

Features

Connapse logoConnapse
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
MaxKB logoMaxKB
01RAG pipeline with document upload, web crawling, and automatic chunking
02Visual workflow builder for multi-step agent logic
03MCP tool-use capabilities for connecting to external services
04Supports multiple LLMs and embedding models
05Docker deployment with 1Panel integration for easy self-hosting
04

Use Cases

Connapse logoConnapse
↳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
MaxKB logoMaxKB
↳Building intelligent customer service bots with enterprise knowledge bases
↳Creating internal Q&A systems over company documents and wikis
↳Deploying research assistants with RAG over academic or technical document collections
05

Best For

Connapse logoConnapse
—
MaxKB logoMaxKB
Most PopularEssentialTrending
FAQ

FAQ

What is the difference between Connapse and MaxKB?
Both Connapse and MaxKB are in the RAG / Knowledge Base category. Connapse has 21 stars, while MaxKB has 23.0k stars.
Which is better, Connapse or MaxKB?
The best choice depends on your use case. Choose Connapse if AI agent developers needing a knowledge backend for query and curation via MCP or REST, and MaxKB if Building intelligent customer service bots with enterprise knowledge bases.
Is Connapse free or open source?
Yes, Connapse is open source on GitHub (MIT).
Is MaxKB free or open source?
Yes, MaxKB is open source on GitHub (GPL-3.0).
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