AgentRecall-MCP logo
AgentRecall-MCP
★ 371
vs
YourMemory logo
YourMemory
★ 270

AgentRecall-MCP vs YourMemory

AgentRecall-MCP: AgentRecall is a learning loop for AI agents that provides persistent, compounding memory. It captures corrections automatically, surfaces past insights across projects, and uses a five-layer memory pyramid with Ebbinghaus decay and Bayesian feedback. Zero cloud, all local markdown files.; YourMemory: YourMemory is an MCP-compatible memory server for AI agents that mimics human memory with biological decay. Important facts persist, outdated ones fade, and a graph layer keeps related memories alive. It achieves 59% Recall@5 on the LoCoMo-10 benchmark and can be installed with just two commands.

01

TL;DR

AgentRecall-MCP logo
AgentRecall-MCPMemory & Context · ★ 371

Maintain context across AI agent sessions (Claude Code, Cursor, etc.)

YourMemory logo
YourMemoryMemory & Context · ★ 270

Providing persistent memory for AI coding assistants like Claude and Cline

02

Side-by-Side Comparison

Field
AgentRecall-MCP logoAgentRecall-MCP
YourMemory logoYourMemory
Category
Memory & Context
Memory & Context
Stars
★ 371
★ 270
License
MIT
NOASSERTION
Install Command
claude mcp add --scope user agent-recall -- npx -y agent-recall-mcp
pip install yourmemory && yourmemory-setup
Updated
1w ago
1mo ago
Open Source
Yes
Yes
Tags
agent-memory, ai-agents, claude-code
ai-agents, claude, ebbinghaus
03

Features

AgentRecall-MCP logoAgentRecall-MCP
01Persistent, compounding memory with 200-line awareness cap
02Automatic correction capture and alignment checking
03Cross-project insight recall via keyword and semantic (pgvector) search
04Zero cloud, all local markdown files, Obsidian-compatible
0510 MCP tools for agents, plus SDK and CLI
YourMemory logoYourMemory
01Biological decay mimicking human memory
02Hybrid BM25 + vector + knowledge graph retrieval pipeline
03Chain-aware pruning that protects related memory clusters
04Multi-agent shared and private memory with access control
05Zero infrastructure setup using DuckDB
04

Use Cases

AgentRecall-MCP logoAgentRecall-MCP
↳Maintain context across AI agent sessions (Claude Code, Cursor, etc.)
↳Capture and learn from user corrections in software development
↳Coordinate memory across multiple parallel agents
YourMemory logoYourMemory
↳Providing persistent memory for AI coding assistants like Claude and Cline
↳Enabling multi-agent collaboration with shared and private memory
↳Remembering user preferences and project context across sessions
FAQ

FAQ

What is the difference between AgentRecall-MCP and YourMemory?
Both AgentRecall-MCP and YourMemory are in the Memory & Context category. AgentRecall-MCP has 371 stars, while YourMemory has 270 stars.
Which is better, AgentRecall-MCP or YourMemory?
The best choice depends on your use case. Choose AgentRecall-MCP if Maintain context across AI agent sessions (Claude Code, Cursor, etc.), and YourMemory if Providing persistent memory for AI coding assistants like Claude and Cline.
Is AgentRecall-MCP free or open source?
Yes, AgentRecall-MCP is open source on GitHub (MIT).
Is YourMemory free or open source?
Yes, YourMemory is open source on GitHub (NOASSERTION).
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