Add ravi-labs/mindmap-mcp-server (Knowledge & Memory)

Adds Mind Map — a local-first MCP memory & context-handoff server.

- Category: Knowledge & Memory
- Repo: https://github.com/ravi-labs/mindmap-mcp-server
- npm: https://www.npmjs.com/package/@ravi-labs/mindmap-mcp-server (Apache-2.0)
- 📇 TypeScript · 🏠 local-first (plain files in ~/.mindmap, no cloud, no account)

Capture context in one AI tool and resume it in another; memory decays gracefully
to one-line traces; includes a persona layer and a portable "memory passport"
(export/import + ingest ChatGPT/Claude data exports).

- [x] Alphabetical order within the category
- [x] One server per line
- [x] Name linked to repo + concise description

README.md

@@ -1888,6 +1888,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
 - [pinecone-io/assistant-mcp](https://github.com/pinecone-io/assistant-mcp) 🎖️ 🦀 ☁️ - Connects to your Pinecone Assistant and gives the agent context from its knowledge engine.
 - [pomazanbohdan/memory-mcp-1file](https://github.com/pomazanbohdan/memory-mcp-1file) 🦀 🏠 🍎 🪟 🐧 - A self-contained Memory server with single-binary architecture (embedded DB & models, no dependencies). Provides persistent semantic and graph-based memory for AI agents.
 - [ragieai/mcp-server](https://github.com/ragieai/ragie-mcp-server) 📇 ☁️ - Retrieve context from your [Ragie](https://www.ragie.ai) (RAG) knowledge base connected to integrations like Google Drive, Notion, JIRA and more.
+- [ravi-labs/mindmap-mcp-server](https://github.com/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.
 - [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).
 - [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`