MARM-Systems and mnemo-mcp

These tools are ecosystem siblings: n24q02m/mnemo-mcp is a specific implementation of a persistent AI memory system, while Lyellr88/MARM-Systems is a universal server designed to provide the underlying infrastructure for cross-platform AI memory, multi-agent coordination, and context sharing, which could potentially be used to serve systems like n24q02m/mnemo-mcp.

MARM-Systems
54
Established
mnemo-mcp
52
Established
Maintenance 10/25
Adoption 10/25
Maturity 15/25
Community 19/25
Maintenance 13/25
Adoption 9/25
Maturity 18/25
Community 12/25
Stars: 251
Forks: 42
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: 1
Forks: 1
Downloads: 3,948
Commits (30d): 0
Language: Python
License: MIT
No Package No Dependents
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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.

About mnemo-mcp

n24q02m/mnemo-mcp

Persistent AI memory with hybrid search and embedded sync - open, free, unlimited

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