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@@ -1590,7 +1590,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [celiums/celiums-memory](https://github.com/terrizoaguimor/celiums-memory) [![celiums-memory MCP server](https://glama.ai/mcp/servers/terrizoaguimor/celiums-memory/badges/score.svg)](https://glama.ai/mcp/servers/terrizoaguimor/celiums-memory) 📇 🏠 ☁️ 🍎 🪟 🐧 - Cognitive memory engine with 5,100+ knowledge modules, circadian rhythm awareness, and emotional state tracking (PAD model). Hybrid search (PostgreSQL + Qdrant vectors + Valkey cache), per-user memory isolation, and multi-protocol support (MCP, REST, OpenAI, LangChain, A2A). `npx @celiums/memory` [Website](https://celiums.io)
- [cg3-llc/prior_mcp](https://github.com/cg3-llc/prior_mcp) [![cg3-llc/prior_mcp MCP server](https://glama.ai/mcp/servers/cg3-llc/prior_mcp/badges/score.svg)](https://glama.ai/mcp/servers/cg3-llc/prior_mcp) 📇 ☁️ - Shared knowledge base where AI agents exchange proven solutions — including failed approaches, so your agent skips the dead ends. Smaller models get instant access to frontier-model discoveries. Free to search indefinitely when feedback is provided on results. [Website](https://prior.cg3.io)
- [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) 📇 🏠 🍎 - Pull Deep Memory from across your Claude Code Sessions — when you need it.
- [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.
- [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.