AgentIndex icon
AgentIndex
ContextGraph logo
ContextGraph
★ 22
vs
AgentRecall logo
AgentRecall
★ 371

ContextGraph vs AgentRecall

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.; AgentRecall: AgentRecall is a learning system that bridges the gap between human thinking and AI agent behavior. It provides persistent, compounding memory with automatic correction capture via MCP server, SDK, and CLI. Every mistake is recorded once and never repeated, and token savings compound over sessions.

01

TL;DR

ContextGraph logo
ContextGraphRAG / Knowledge Base · ★ 22

Same-company agent follow with provenance and quorum building

Read ContextGraph full review →
AgentRecall logo
AgentRecallMemory & Context · ★ 371

Scattered human: structurize non-linear instructions across sessions

Read AgentRecall full review →
02

Side-by-Side Comparison

Field
ContextGraph logoContextGraph
AgentRecall logoAgentRecall
Category
RAG / Knowledge Base
Memory & Context
Stars
★ 22
★ 371
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]"
npm install -g agent-recall-cli
Updated
6mo ago
1w ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agent-memory, agentic-rag, ai-agents
agent-memory, ai-agents, claude-code
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
AgentRecall logoAgentRecall
01Persistent, compounding memory with 200-line awareness cap
02Automatic correction capture and recall
03Cross-project insight recall via keyword matching
04MCP, SDK, and CLI for universal compatibility
05Zero cloud, all local markdown storage
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
AgentRecall logoAgentRecall
↳Scattered human: structurize non-linear instructions across sessions
↳Cross-project lesson transfer: rate limiting insight from Project A to Project B
↳Correction that sticks: agent never repeats a correction again
FAQ

FAQ

What is the difference between ContextGraph and AgentRecall?
Both ContextGraph and AgentRecall are in the RAG / Knowledge Base category. ContextGraph has 22 stars, while AgentRecall has 371 stars.
Which is better, ContextGraph or AgentRecall?
The best choice depends on your use case. Choose ContextGraph if Same-company agent follow with provenance and quorum building, and AgentRecall if Scattered human: structurize non-linear instructions across sessions.
Is ContextGraph free or open source?
Yes, ContextGraph is open source on GitHub (MIT).
Is AgentRecall free or open source?
Yes, AgentRecall is open source on GitHub (MIT).
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Related

Alternatives to ContextGraph →Alternatives to AgentRecall →ContextGraph details →AgentRecall details →