AgentIndex icon
AgentIndex
ContextGraph logo
ContextGraph
★ 22
vs
rekal logo
rekal
★ 53

ContextGraph vs rekal

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.; rekal: rekal provides long-term memory for LLMs via an MCP server. It stores memories in a local SQLite file and retrieves them using hybrid search (BM25 keywords + vector semantics + recency decay). It works with any MCP-capable agent like Claude Code, Codex CLI, and OpenCode.

01

TL;DR

ContextGraph logo
ContextGraphRAG / Knowledge Base · ★ 22

Same-company agent follow with provenance and quorum building

Read ContextGraph full review →
rekal logo
rekalRAG / Knowledge Base · ★ 53

Persistent memory for coding agents across sessions to remember user preferences and decisions

Read rekal full review →
02

Side-by-Side Comparison

Field
ContextGraph logoContextGraph
rekal logorekal
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 22
★ 53
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]"
pip install rekal
Updated
6mo ago
1mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agent-memory, agentic-rag, ai-agents
llm, mcp, mcp-server
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
rekal logorekal
01Local SQLite storage, no cloud or API keys
02Hybrid search combining BM25 keywords, vector semantics, and recency decay
03MCP server compatible with various coding agents
04Comprehensive tool-based memory management (store, search, update, delete, prune)
05Smart write operations with supersede and linking for knowledge evolution
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
rekal logorekal
↳Persistent memory for coding agents across sessions to remember user preferences and decisions
↳Storing project-specific knowledge and conventions without external services
↳Maintaining a searchable history of agent interactions and decisions
FAQ

FAQ

What is the difference between ContextGraph and rekal?
Both ContextGraph and rekal are in the RAG / Knowledge Base category. ContextGraph has 22 stars, while rekal has 53 stars.
Which is better, ContextGraph or rekal?
The best choice depends on your use case. Choose ContextGraph if Same-company agent follow with provenance and quorum building, and rekal if Persistent memory for coding agents across sessions to remember user preferences and decisions.
Is ContextGraph free or open source?
Yes, ContextGraph is open source on GitHub (MIT).
Is rekal free or open source?
Yes, rekal is open source on GitHub (MIT).
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Related

Alternatives to ContextGraph →Alternatives to rekal →ContextGraph details →rekal details →