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@@ -2063,7 +2063,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [CanopyHQ/phloem](https://github.com/CanopyHQ/phloem) 🏎️ 🏠 🍎 🪟 🐧 - Local-first AI memory with causal graphs and citation verification. Semantic search, confidence decay when code drifts, and zero network connections. Works across Claude Code, Cursor, VS Code, and 7 more MCP clients.
- [Cavinooo/claude-find](https://github.com/Cavinooo/claude-find) [![Cavinooo/claude-find MCP server](https://glama.ai/mcp/servers/Cavinooo/claude-find/badges/score.svg)](https://glama.ai/mcp/servers/Cavinooo/claude-find) 📇 🏠 🍎 - Pull Deep Memory from across your Claude Code Sessions — when you need it.
- [chatmcp/mcp-server-chatsum](https://github.com/chatmcp/mcp-server-chatsum) - Query and summarize your chat messages with AI prompts.
- [vshulcz/deja-vu](https://github.com/vshulcz/deja-vu) 🏎️ 🏠 🍎 🪟 🐧 - Local memory layer over the session histories coding agents already write (Claude Code, Codex CLI, opencode): lexical search, recall tools, session-start auto-recall, secret redaction at index time, cross-machine sync over SSH.
- [vshulcz/deja-vu](https://github.com/vshulcz/deja-vu) [![vshulcz/deja-vu MCP server](https://glama.ai/mcp/servers/vshulcz/deja-vu/badges/score.svg)](https://glama.ai/mcp/servers/vshulcz/deja-vu) 🏎️ 🏠 🍎 🪟 🐧 - Local memory layer over the session histories coding agents already write (Claude Code, Codex CLI, opencode): lexical search, recall tools, session-start auto-recall, secret redaction at index time, cross-machine sync over SSH.
- [ZengLiangYi/ChatCrystal](https://github.com/ZengLiangYi/ChatCrystal) [![ZengLiangYi/ChatCrystal MCP server](https://glama.ai/mcp/servers/ZengLiangYi/ChatCrystal/badges/score.svg)](https://glama.ai/mcp/servers/ZengLiangYi/ChatCrystal) 📇 🏠 🍎 🪟 🐧 - Local-first AI PKM memory server for coding conversations. Imports Claude Code, Cursor, Codex CLI, Trae, and GitHub Copilot chats into notes, semantic search, tag graphs, Markdown exports, and reusable MCP memory. `npx -y chatcrystal mcp`
- [CheMiguel23/MemoryMesh](https://github.com/CheMiguel23/MemoryMesh) 📇 🏠 - Enhanced graph-based memory with a focus on AI role-play and story generation
- [ChrisGVE/workspace-qdrant-mcp](https://github.com/ChrisGVE/workspace-qdrant-mcp) [![workspace-qdrant-mcp MCP server](https://glama.ai/mcp/servers/ChrisGVE/workspace-qdrant-mcp/badges/score.svg)](https://glama.ai/mcp/servers/ChrisGVE/workspace-qdrant-mcp) 🦀 📇 🏠 🍎 🪟 🐧 - Project-scoped semantic workspace memory for AI coding assistants. Watches your project files, auto-indexes code and docs into Qdrant with tree-sitter semantic chunking, LSP integration, and hybrid search (dense + sparse + RRF). 6 MCP tools: store, search, retrieve, grep, list, rules. **Alpha** — testers and feedback welcome.