AgentRecall-MCP vs mcp-memory-keeper
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.; mcp-memory-keeper: MCP Memory Keeper is an MCP server that provides persistent context management for Claude AI coding assistants, preventing context loss during compaction. It offers features like session management, context saving/retrieval, checkpoints, search, and git integration. The server works across macOS, Linux, and Windows and can be installed via npx.
TL;DR
Maintain context across AI agent sessions (Claude Code, Cursor, etc.)
Long coding sessions with Claude Code
Side-by-Side Comparison
Features
Use Cases
FAQ
Deploy on DigitalOcean
Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.