Mnemosyne Local hierarchical memory engine for AI agents (MCP Native)
Gomaa — Autonomous Agent Memory OS. Persistent memory system for AI agents with Obsidian vault integration, hybrid RRF search, knowledge graphs, security gates, and MCP server. - M4F-S/gomaa
Mnemosyne Local hierarchical memory engine for AI agents (MCP Native) launched on August 23, 2026 with 10 votes, #1,032 of 23,274 launches that month and more than 90% of that year's launches.
In plain words
Mnemosyne is a local memory engine designed for AI agents to store and retrieve information persistently. It integrates with Obsidian vaults and uses hybrid search capabilities alongside knowledge graphs to organize data. The system includes security features and works as an MCP server, enabling AI agents to maintain context and memories across interactions without relying on external services.
written from the facts on this page · September 2026
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MCP Memory – Fast Agent Memory Using Google's OKF and SQLite FTS5Aug 2026 · github.com · ▲70An OKF-backed Model Context Protocol (MCP) server delivering persistent long-term memory and SQLite FTS5 search for AI agents. - fellowgeek/mcp-memory
Mnemo – local-first AI memory layer for any LLM (Rust, SQLite,petgraph)Jun 2026 · github.com · ▲60Local-first AI memory layer for any LLM. Persistent knowledge graph, entity extraction, semantic retrieval. Works with Ollama, OpenAI, Anthropic, or any OpenAI-compatible backend. - zaydmulani09/mnemo
AgentmemoryMay 2026 · agent-memory.dev · ▲310Persistent memory for Claude Code, Codex & coding agents
Mnemosyne – Cognitive memory OS for AI agents (zero LLM calls)Feb 2026 · github.com · ▲5Cognitive Memory OS for AI Agents — persistent, self-improving, multi-agent memory - 28naem-del/mnemosyne
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