AgentRecall-MCP logo
AgentRecall-MCP
★ 371
vs
memtrace-public logo
memtrace-public
★ 504

AgentRecall-MCP vs memtrace-public

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.; memtrace-public: Memtrace is a persistent memory layer for coding agents. It builds a bi-temporal, episodic, structural knowledge graph from your codebase's AST, enabling agents to remember and reason about code structure, evolution, and dependencies. It runs entirely locally, indexing code in seconds and providing sub-millisecond query latency.

01

TL;DR

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

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

memtrace-public logo
memtrace-publicMemory & Context · ★ 504

Codebase exploration and understanding

02

Side-by-Side Comparison

Field
AgentRecall-MCP logoAgentRecall-MCP
memtrace-public logomemtrace-public
Category
Memory & Context
Memory & Context
Stars
★ 371
★ 504
License
MIT
NOASSERTION
Install Command
claude mcp add --scope user agent-recall -- npx -y agent-recall-mcp
npm install -g memtrace && memtrace start
Updated
1w ago
1d ago
Open Source
Yes
Yes
Tags
agent-memory, ai-agents, claude-code
ai-agents, code-intelligence, code-search
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
memtrace-public logomemtrace-public
01AST-based structural knowledge graph
02Bi-temporal version history with 6 scoring modes
03Cross-service HTTP API topology
04Hybrid search (BM25 + vector embeddings + RRF)
0525+ MCP tools and 12 agent skills
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
memtrace-public logomemtrace-public
↳Codebase exploration and understanding
↳Change impact and refactoring analysis
↳Incident investigation and root cause analysis
05

Best For

AgentRecall-MCP logoAgentRecall-MCP
—
memtrace-public logomemtrace-public
Trending
FAQ

FAQ

What is the difference between AgentRecall-MCP and memtrace-public?
Both AgentRecall-MCP and memtrace-public are in the Memory & Context category. AgentRecall-MCP has 371 stars, while memtrace-public has 504 stars.
Which is better, AgentRecall-MCP or memtrace-public?
The best choice depends on your use case. Choose AgentRecall-MCP if Maintain context across AI agent sessions (Claude Code, Cursor, etc.), and memtrace-public if Codebase exploration and understanding.
Is AgentRecall-MCP free or open source?
Yes, AgentRecall-MCP is open source on GitHub (MIT).
Is memtrace-public free or open source?
Yes, memtrace-public is open source on GitHub (NOASSERTION).
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