Add mnemostack MCP server 🤖🤖🤖
Saveliy committed
May 11, 2026 at 13:05 UTC
1fcebf10aef83950bd0f1f85f5eed2cb85498ff6
1 file changed
+1
README.md
+1
@@ -1650,6 +1650,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
1650
- [markmhendrickson/neotoma](https://github.com/markmhendrickson/neotoma) [](https://glama.ai/mcp/servers/markmhendrickson/neotoma) 📇 🏠 🍎 🪟 🐧 - Deterministic state layer for AI agents. Stores versioned entities (contacts, tasks, transactions, decisions) with immutable observations, full provenance, and schema-first extraction. Local-first SQLite, cross-client memory across Claude, Cursor, ChatGPT, and OpenClaw. [Website](https://neotoma.io)
1651
- [mattjoyce/mcp-persona-sessions](https://github.com/mattjoyce/mcp-persona-sessions) 🐍 🏠 - Enable AI assistants to conduct structured, persona-driven sessions including interview preparation, personal reflection, and coaching conversations. Built-in timer management and performance evaluation tools.
1652
- [mem0ai/mem0-mcp](https://github.com/mem0ai/mem0-mcp) 🐍 🏠 - A Model Context Protocol server for Mem0 that helps manage coding preferences and patterns, providing tools for storing, retrieving and semantically handling code implementations, best practices and technical documentation in IDEs like Cursor and Windsurf
1653
+- [udjin-labs/mnemostack](https://github.com/udjin-labs/mnemostack) 🐍 🏠 🍎 🪟 🐧 - Durable hybrid memory for AI agents. Combines vector search, BM25, temporal retrieval, and optional Memgraph knowledge graph via reciprocal rank fusion. 6 MCP tools: health, search, answer, feedback, graph_query, graph_add_triple. Self-hosted with Qdrant backend. 82.5% strict accuracy on LoCoMo benchmark. `pip install 'mnemostack[mcp]'`
1654
- [tverney/mcp-agent-memory](https://github.com/tverney/mcp-agent-memory) [](https://glama.ai/mcp/servers/tverney/mcp-agent-memory) 📇 🏠 🍎 - Persistent agent memory via filesystem-native consolidation daemon. Agents read/write/search memory through MCP; a background daemon handles consolidation and extraction. Works with Kiro, Claude Desktop, Cursor, and any MCP client. `npx mcp-agent-memory --setup`
1655
- [memstate-ai/memstate-mcp](https://github.com/memstate-ai/memstate-mcp) [](https://glama.ai/mcp/servers/memstate-ai/memstate-mcp) 📇 ☁️ - Versioned, structured memory for AI agents. Stores facts as keypaths with full version history, automatic conflict detection, and O(1) token retrieval.
1656
- [michael-denyer/memory-mcp](https://github.com/michael-denyer/memory-mcp) 🐍 🏠 🍎 🪟 🐧 - Two-tier memory with hot cache (instant injection) and cold semantic search. Auto-promotes frequently-used patterns, extracts knowledge from Claude outputs, and organizes via knowledge graph relationships.