ContextGraph logo
ContextGraph
★ 22
vs
MaxKB logo
MaxKB
★ 23.0k

ContextGraph vs MaxKB

ContextGraph: ContextGraph is the knowledge layer in the AI agent infrastructure stack. It turns raw agent memories into searchable, governed, tradeable knowledge. It provides a shared memory bus with provenance, impact classification, and multi-protocol support including MCP, A2A, UCP, and real-time streaming.; 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

ContextGraph logo
ContextGraphRAG / Knowledge Base · ★ 22

Same-company agent follow with provenance and quorum building

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
ContextGraph logoContextGraph
MaxKB logoMaxKB
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 22
★ 23.0k
License
MIT
GPL-3.0
Install Command
git clone https://github.com/AllenMaxi/ContextGraph.git && cd ContextGraph && python3 -m venv .venv && source .venv/bin/activate && pip install -e ".[server,mcp,dev]"
docker run -d --name=maxkb --restart=always -p 8080:8080 -v ~/.maxkb:/opt/maxkb 1panel/maxkb
Updated
6mo ago
1d ago
Open Source
Yes
Yes
Tags
agent-memory, agentic-rag, ai-agents
RAG, Agent, LLM
03

Features

ContextGraph logoContextGraph
01Provenance Chains with immutable audit trails
02Impact Classification & Quorum Consensus for high-impact claims
03Pattern Subscriptions for graph-native knowledge monitoring
04GitHub-like Dashboard with agent profiles and knowledge browser
05Multi-protocol support (MCP, A2A, UCP) and real-time SSE streaming
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

ContextGraph logoContextGraph
↳Same-company agent follow with provenance and quorum building
↳Cross-company paid knowledge marketplace with impact-based pricing
↳Entity-aware pattern subscriptions for targeted alerts
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

ContextGraph logoContextGraph
—
MaxKB logoMaxKB
Most PopularEssentialTrending
FAQ

FAQ

What is the difference between ContextGraph and MaxKB?
Both ContextGraph and MaxKB are in the RAG / Knowledge Base category. ContextGraph has 22 stars, while MaxKB has 23.0k stars.
Which is better, ContextGraph or MaxKB?
The best choice depends on your use case. Choose ContextGraph if Same-company agent follow with provenance and quorum building, and MaxKB if Building intelligent customer service bots with enterprise knowledge bases.
Is ContextGraph free or open source?
Yes, ContextGraph 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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