Add tverney/mcp-agent-memory to Knowledge & Memory
Thiago Verney committed
May 1, 2026 at 22:58 UTC
75a4805a4e3c50cb9e78ae018817b0e8e485851b
1 file changed
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README.md
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@@ -1613,6 +1613,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
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- [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)
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- [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.
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- [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
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+- [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`
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- [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.
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- [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.
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- [mercurialsolo/counsel-mcp](https://github.com/mercurialsolo/counsel-mcp) 📇 ☁️ 🏠 🍎 🪟 🐧 - Connect AI agents to the Counsel API for strategic reasoning, multi-perspective debate analysis, and interactive advisory sessions.