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ContextGraph
ContextGraph logo

ContextGraph

Active·★ 22·MIT·Updated 2026-04-18

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.

#agent-memory#agentic-rag#ai-agents#knowledge-graph#mcp#mcp-server#mcp-servers#model-context-protocol
$ Install
$ git clone https://github.com/AllenMaxi/ContextGraph.git && cd ContextGraph && python3 -m venv .venv && source .venv/bin/activate && pip install -e ".[server,mcp,dev]"
↗ Visit site★ GitHub
01

Features

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
02

Compatibility

Python
Python 3.11+
Verified via docs
Neo4j
Backend DB
Verified via docs
Docker
Container Deploy
Verified via docs
03

Quick start

1
$ git clone https://github.com/AllenMaxi/ContextGraph.git
2
$ cd ContextGraph
3
$ python3 -m venv .venv
4
$ source .venv/bin/activate
5
$ pip install -e ".[server,mcp,dev]"
04

Use cases

↳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
05

Alternatives

⚡Top VS:
VScompass★73→VSmcp-memory-libsql★87→VSMemoryPilot★18→VSmcp-ts-core★153→
compass logo
compass★ 73
Compass is a context engine that builds a knowledge graph of your organization's metadata, capturing entities, relationships, and lineage across systems and time, making it discoverable and queryable for both humans and AI agents.
VSCompare→
mcp-memory-libsql logo
mcp-memory-libsql★ 87
🧠 High-performance persistent memory system for Model Context Protocol (MCP) powered by libSQL. Features vector search, semantic knowledge storage, and efficient relationship management - perfect for AI agents and knowledge graph applications.
VSCompare→
MemoryPilot logo
MemoryPilot★ 18
The most advanced AI memory server in the world. Hybrid search, Temporal Knowledge Graph, transformer embeddings, AAAK compression (3x token savings) — pure Rust, single binary, zero dependencies.
VSCompare→
mcp-ts-core logo
mcp-ts-core★ 153
TypeScript template for building Model Context Protocol (MCP) servers. Ships with declarative tools/resources, pluggable auth, multi-backend storage, OpenTelemetry observability, and first-class support for both local and edge (Cloudflare Workers) runtimes.
VSCompare→
remnote-mcp-server logo
remnote-mcp-server★ 30
MCP server and CLI for connecting AI agents, OpenClaw/Hermes workflows, local automation, and coding harnesses to your RemNote knowledge base via the RemNote Automation Bridge.
VSCompare→
vector_mcp logo
vector_mcp★ 13
A server implementation for the Model Context Protocol (MCP) in Ruby.
VSCompare→
AgentRecall-MCP logo
AgentRecall-MCP★ 371
Persistent, correction-driven memory for AI agents. Cross-session, cross-platform (Claude Code, Codex, Gemini — any MCP client). Learns from mistakes, compresses context to save tokens, consolidates knowledge overnight. npm: agent-recall-mcp
VSCompare→
AgentRecall logo
AgentRecall★ 371
AI Session Memory with Think-Execute-Reflect Quality Loops — give your agent a brain that survives every session. Built on the Intelligent Distance principle.
VSCompare→
See all alternatives →

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On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
AllenMaxi /
ContextGraph
↗

Shared memory bus for MCP-compatible agents with permissions, subscriptions, and optional payments.

22MIT
Last commit6mo ago
StatusActive
CategoryRAG / Knowledge Base
Links
Documentation↗Discussion↗Issues↗Releases↗
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