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Merge pull request #4608 from mnlt/add-wellread
Add wellread to Knowledge & Memory
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@@ -1551,6 +1551,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
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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.
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- [mlorentedev/hive](https://github.com/mlorentedev/hive) [](https://glama.ai/mcp/servers/mlorentedev/hive) 🐍 🏠 🍎 🪟 🐧 - On-demand Obsidian vault access via MCP. Adaptive context loading (67-82% token savings), full-text and ranked search, health checks, auto git commit, and worker delegation to cheaper models. 10 tools, works with any MCP client.
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- [mnlt/wellread](https://github.com/mnlt/wellread) [](https://glama.ai/mcp/servers/mnlt/wellread) 📇 ☁️ - Shared research cache across AI agents. Hit → instant answer from verified sources. Miss → your research saves the next dev's tokens. `npx wellread`, free.
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- [modelcontextprotocol/server-memory](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/memory) 📇 🏠 - Knowledge graph-based persistent memory system for maintaining context
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- [MWGMorningwood/Central-Memory-MCP](https://github.com/MWGMorningwood/Central-Memory-MCP) 📇 ☁️ - An Azure PaaS-hostable MCP server that provides a workspace-grounded knowledge graph for multiple developers using Azure Functions MCP triggers and Table storage.
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- [MyAgentHubs/aimemo](https://github.com/MyAgentHubs/aimemo) 🏎️ 🏠 🍎 🪟 🐧 - Zero-dependency MCP memory server. Single binary, 100% local, no Docker.
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