mcp-memory-keeper and MARM-Systems
About mcp-memory-keeper
mkreyman/mcp-memory-keeper
MCP server for persistent context management in AI coding assistants
Provides a SQLite-backed persistent memory layer using the Model Context Protocol (MCP), enabling Claude to save and restore context across sessions through channels (auto-derived from git branches), checkpoints, and typed relationships between stored items. Integrates with Claude Code via stdio transport and includes batch operations, smart compaction, full-text search, and real-time change tracking to preserve architectural decisions and progress without manual intervention.
About MARM-Systems
Lyellr88/MARM-Systems
Turn AI into a persistent, memory-powered collaborator. Universal MCP Server (supports HTTP, STDIO, and WebSocket) enabling cross-platform AI memory, multi-agent coordination, and context sharing. Built with MARM protocol for structured reasoning that evolves with your work.
# Technical Summary Implements semantic vector-based memory indexing with auto-classification of conversation content (code, decisions, configs) and enables cross-session recall via FastAPI-backed HTTP/STDIO transports that integrate natively with Claude, Gemini, and other MCP-compatible agents. The architecture uses SQLite with WAL mode for persistent storage and connection pooling, exposing 18 MCP tools for granular memory control—including structured session logs, reusable notebooks, and smart context fallbacks when vector similarity alone is insufficient. Designed for production workflows requiring reliable long-term context across multiple AI agents and deployment cycles, with Docker containerization and rate-limiting built-in.
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