Add projectmem to Knowledge & Memory

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Ripon Chandra Malo
2026-06-18 18:55:51 -06:00
parent b1fe38f95f
commit 4ed4111319
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@@ -2025,6 +2025,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [ravi-labs/mindmap-mcp-server](https://github.com/ravi-labs/mindmap-mcp-server) [![ravi-labs/mindmap-mcp-server MCP server](https://glama.ai/mcp/servers/ravi-labs/mindmap-mcp-server/badges/score.svg)](https://glama.ai/mcp/servers/ravi-labs/mindmap-mcp-server) 📇 🏠 - Local-first memory & context-handoff across AI tools — capture context in one tool, resume it in another, with graceful decay, a persona layer, and a portable memory passport. - [ravi-labs/mindmap-mcp-server](https://github.com/ravi-labs/mindmap-mcp-server) [![ravi-labs/mindmap-mcp-server MCP server](https://glama.ai/mcp/servers/ravi-labs/mindmap-mcp-server/badges/score.svg)](https://glama.ai/mcp/servers/ravi-labs/mindmap-mcp-server) 📇 🏠 - Local-first memory & context-handoff across AI tools — capture context in one tool, resume it in another, with graceful decay, a persona layer, and a portable memory passport.
- [remembra-ai/remembra](https://github.com/remembra-ai/remembra) [![remembra MCP server](https://glama.ai/mcp/servers/remembra-ai/remembra/badges/score.svg)](https://glama.ai/mcp/servers/remembra-ai/remembra) 🐍 📇 🏠 ☁️ 🍎 🪟 🐧 - Persistent memory layer for AI agents with entity resolution, PII detection, AES-256-GCM encryption at rest, and hybrid search. 100% on LoCoMo benchmark. Self-hosted. - [remembra-ai/remembra](https://github.com/remembra-ai/remembra) [![remembra MCP server](https://glama.ai/mcp/servers/remembra-ai/remembra/badges/score.svg)](https://glama.ai/mcp/servers/remembra-ai/remembra) 🐍 📇 🏠 ☁️ 🍎 🪟 🐧 - Persistent memory layer for AI agents with entity resolution, PII detection, AES-256-GCM encryption at rest, and hybrid search. 100% on LoCoMo benchmark. Self-hosted.
- [redleaves/context-keeper](https://github.com/redleaves/context-keeper) 🏎️ 🏠 ☁️ 🍎 🪟 🐧 - LLM-driven context and memory management with wide-recall + precise-reranking RAG architecture. Features multi-dimensional retrieval (vector/timeline/knowledge graph), short/long-term memory, and complete MCP support (HTTP/WebSocket/SSE). - [redleaves/context-keeper](https://github.com/redleaves/context-keeper) 🏎️ 🏠 ☁️ 🍎 🪟 🐧 - LLM-driven context and memory management with wide-recall + precise-reranking RAG architecture. Features multi-dimensional retrieval (vector/timeline/knowledge graph), short/long-term memory, and complete MCP support (HTTP/WebSocket/SSE).
- [riponcm/projectmem](https://github.com/riponcm/projectmem) [![projectmem MCP server](https://glama.ai/mcp/servers/riponcm/projectmem/badges/score.svg)](https://glama.ai/mcp/servers/riponcm/projectmem) 🐍 🏠 🍎 🪟 🐧 - Local-first memory and judgment layer for AI coding agents. Captures issues, failed attempts, fixes, and decisions in readable Markdown + JSONL, re-injects them into future sessions, and warns at git commit before you repeat a mistake. 14 tools, works with Claude, Cursor, Antigravity, and Codex.
- [Skitchy/rekindle](https://github.com/Skitchy/rekindle) [![Skitchy/rekindle MCP server](https://glama.ai/mcp/servers/Skitchy/rekindle/badges/score.svg)](https://glama.ai/mcp/servers/Skitchy/rekindle) 📇 🏠 🍎 🪟 🐧 - Session continuity engine that solves session orientation. Boot reports with gap detection and 100-point scoring, structured end-session capture with typed continuity records, and BM25 memory search. 7 tools, local SQLite + FTS5, zero API keys. `npx rekindle` - [Skitchy/rekindle](https://github.com/Skitchy/rekindle) [![Skitchy/rekindle MCP server](https://glama.ai/mcp/servers/Skitchy/rekindle/badges/score.svg)](https://glama.ai/mcp/servers/Skitchy/rekindle) 📇 🏠 🍎 🪟 🐧 - Session continuity engine that solves session orientation. Boot reports with gap detection and 100-point scoring, structured end-session capture with typed continuity records, and BM25 memory search. 7 tools, local SQLite + FTS5, zero API keys. `npx rekindle`
- [roampal-ai/roampal-core](https://github.com/roampal-ai/roampal-core) [![roampal-core MCP server](https://glama.ai/mcp/servers/roampal-ai/roampal-core/badges/score.svg)](https://glama.ai/mcp/servers/roampal-ai/roampal-core) 🐍 🏠 - Outcome-based persistent memory for AI coding tools. Memories that help get promoted, memories that mislead get demoted. Works with Claude Code and OpenCode via hooks + MCP. - [roampal-ai/roampal-core](https://github.com/roampal-ai/roampal-core) [![roampal-core MCP server](https://glama.ai/mcp/servers/roampal-ai/roampal-core/badges/score.svg)](https://glama.ai/mcp/servers/roampal-ai/roampal-core) 🐍 🏠 - Outcome-based persistent memory for AI coding tools. Memories that help get promoted, memories that mislead get demoted. Works with Claude Code and OpenCode via hooks + MCP.
- [roomi-fields/notebooklm-mcp](https://github.com/roomi-fields/notebooklm-mcp) [![notebooklm-mcp MCP server](https://glama.ai/mcp/servers/@roomi-fields/notebooklm-mcp/badges/score.svg)](https://glama.ai/mcp/servers/@roomi-fields/notebooklm-mcp) 📇 🏠 🍎 🪟 🐧 - Full automation of Google NotebookLM — Q&A with citations, audio podcasts, video, content generation, source management, and notebook library. MCP + HTTP REST API. - [roomi-fields/notebooklm-mcp](https://github.com/roomi-fields/notebooklm-mcp) [![notebooklm-mcp MCP server](https://glama.ai/mcp/servers/@roomi-fields/notebooklm-mcp/badges/score.svg)](https://glama.ai/mcp/servers/@roomi-fields/notebooklm-mcp) 📇 🏠 🍎 🪟 🐧 - Full automation of Google NotebookLM — Q&A with citations, audio podcasts, video, content generation, source management, and notebook library. MCP + HTTP REST API.