AgentIndex icon
AgentIndex
ContextGraph logo
ContextGraph
★ 22
vs
mcp-memory-libsql logo
mcp-memory-libsql
★ 87

ContextGraph vs mcp-memory-libsql

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.; mcp-memory-libsql: mcp-memory-libsql is a high-performance, persistent memory system for the Model Context Protocol (MCP). It uses libSQL to store entities and relations, providing optimized text search with relevance ranking to enhance LLM context efficiency. It supports both local SQLite and remote libSQL databases with secure authentication.

01

TL;DR

ContextGraph logo
ContextGraphRAG / Knowledge Base · ★ 22

Same-company agent follow with provenance and quorum building

Read ContextGraph full review →
mcp-memory-libsql logo
mcp-memory-libsqlRAG / Knowledge Base · ★ 87

Provide persistent memory for LLM applications

Read mcp-memory-libsql full review →
02

Side-by-Side Comparison

Field
ContextGraph logoContextGraph
mcp-memory-libsql logomcp-memory-libsql
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 22
★ 87
License
MIT
MIT
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]"
npx -y mcp-memory-libsql
Updated
6mo ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agent-memory, agentic-rag, ai-agents
ai-tools, embeddings, knowledge-graph
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
mcp-memory-libsql logomcp-memory-libsql
01High-performance text search with relevance ranking
02Persistent storage of entities and relations
03Flexible text search with fuzzy matching
04Context-optimized for LLM efficiency
05Knowledge graph management
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
mcp-memory-libsql logomcp-memory-libsql
↳Provide persistent memory for LLM applications
↳Manage knowledge graphs for context-aware AI
↳Enhance retrieval-augmented generation (RAG) pipelines
FAQ

FAQ

What is the difference between ContextGraph and mcp-memory-libsql?
Both ContextGraph and mcp-memory-libsql are in the RAG / Knowledge Base category. ContextGraph has 22 stars, while mcp-memory-libsql has 87 stars.
Which is better, ContextGraph or mcp-memory-libsql?
The best choice depends on your use case. Choose ContextGraph if Same-company agent follow with provenance and quorum building, and mcp-memory-libsql if Provide persistent memory for LLM applications.
Is ContextGraph free or open source?
Yes, ContextGraph is open source on GitHub (MIT).
Is mcp-memory-libsql free or open source?
Yes, mcp-memory-libsql is open source on GitHub (MIT).
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Related

Alternatives to ContextGraph →Alternatives to mcp-memory-libsql →ContextGraph details →mcp-memory-libsql details →