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@@ -2102,6 +2102,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [l33tdawg/sage](https://github.com/l33tdawg/sage) [![s-age MCP server](https://glama.ai/mcp/servers/l33tdawg/s-age/badges/score.svg)](https://glama.ai/mcp/servers/l33tdawg/s-age) 🏎️ 🏠 🍎 🪟 🐧 - Institutional memory for AI agents with real BFT consensus. 4 application validators vote on every memory before it's committed — no more storing garbage. 13 MCP tools, runs locally, works with any MCP-compatible model. Backed by 4 published research papers. - [l33tdawg/sage](https://github.com/l33tdawg/sage) [![s-age MCP server](https://glama.ai/mcp/servers/l33tdawg/s-age/badges/score.svg)](https://glama.ai/mcp/servers/l33tdawg/s-age) 🏎️ 🏠 🍎 🪟 🐧 - Institutional memory for AI agents with real BFT consensus. 4 application validators vote on every memory before it's committed — no more storing garbage. 13 MCP tools, runs locally, works with any MCP-compatible model. Backed by 4 published research papers.
- [laradji/deadzone](https://github.com/laradji/deadzone) [![laradji/deadzone MCP server](https://glama.ai/mcp/servers/laradji/deadzone/badges/score.svg)](https://glama.ai/mcp/servers/laradji/deadzone) 🏎️ 🏠 🍎 🐧 - Local-first semantic search over library docs. Single Go binary, MCP stdio, vector index pinned to the binary version. Like Context7 with the internet off. Pre-built index DB auto-fetched on first launch and SHA256-verified, then zero network. Also available as `docker run --rm -i ghcr.io/laradji/deadzone server`. Listed in the official MCP Registry as `io.github.laradji/deadzone`. - [laradji/deadzone](https://github.com/laradji/deadzone) [![laradji/deadzone MCP server](https://glama.ai/mcp/servers/laradji/deadzone/badges/score.svg)](https://glama.ai/mcp/servers/laradji/deadzone) 🏎️ 🏠 🍎 🐧 - Local-first semantic search over library docs. Single Go binary, MCP stdio, vector index pinned to the binary version. Like Context7 with the internet off. Pre-built index DB auto-fetched on first launch and SHA256-verified, then zero network. Also available as `docker run --rm -i ghcr.io/laradji/deadzone server`. Listed in the official MCP Registry as `io.github.laradji/deadzone`.
- [leonardsellem/hypermnesic](https://github.com/leonardsellem/hypermnesic) [![leonardsellem/hypermnesic MCP server](https://glama.ai/mcp/servers/leonardsellem/hypermnesic/badges/score.svg)](https://glama.ai/mcp/servers/leonardsellem/hypermnesic) 🐍 ☁️ 🏠 🍎 🪟 🐧 - Git-first memory for AI agents: Markdown files are truth, the index is disposable, and writes are reviewable commits. Ships 7 MCP tools (hybrid search, read_note, build_context, resolve, think, list_folders, and a scope-gated commit_note write) over a Streamable HTTP endpoint, plus a CLI and a read-only Obsidian companion. - [leonardsellem/hypermnesic](https://github.com/leonardsellem/hypermnesic) [![leonardsellem/hypermnesic MCP server](https://glama.ai/mcp/servers/leonardsellem/hypermnesic/badges/score.svg)](https://glama.ai/mcp/servers/leonardsellem/hypermnesic) 🐍 ☁️ 🏠 🍎 🪟 🐧 - Git-first memory for AI agents: Markdown files are truth, the index is disposable, and writes are reviewable commits. Ships 7 MCP tools (hybrid search, read_note, build_context, resolve, think, list_folders, and a scope-gated commit_note write) over a Streamable HTTP endpoint, plus a CLI and a read-only Obsidian companion.
- [liftkkkk/owl-mcp](https://github.com/liftkkkk/owl-mcp) [![owl-mcp MCP server](https://glama.ai/mcp/servers/liftkkkk/owl-mcp/badges/score.svg)](https://glama.ai/mcp/servers/liftkkkk/owl-mcp) 🐍 🏠 - MCP server for OWL/TTL/RDF ontologies. Supports SPARQL queries, HermiT/Pellet reasoning, and CRUD operations on knowledge graphs. Works with Claude Desktop, Cursor, and Windsurf.
- [Smart-AI-Memory/empathy-framework](https://github.com/Smart-AI-Memory/empathy-framework) 🐍 🏠 - Five-level AI collaboration system with persistent memory and anticipatory capabilities. MCP-native integration for Claude and other LLMs with local-first architecture via MemDocs. - [Smart-AI-Memory/empathy-framework](https://github.com/Smart-AI-Memory/empathy-framework) 🐍 🏠 - Five-level AI collaboration system with persistent memory and anticipatory capabilities. MCP-native integration for Claude and other LLMs with local-first architecture via MemDocs.
- [rps321321/obsidian-mcp-pro](https://github.com/rps321321/obsidian-mcp-pro) [![rps321321/obsidian-mcp-pro MCP server](https://glama.ai/mcp/servers/rps321321/obsidian-mcp-pro/badges/score.svg)](https://glama.ai/mcp/servers/rps321321/obsidian-mcp-pro) 📇 🏠 🍎 🪟 🐧 - Feature-complete Obsidian vault MCP server with 23 tools and 3 resources. Full-text search, note CRUD, frontmatter queries, tag management, backlinks, graph traversal (BFS up to 5 hops), orphan/broken link detection, and canvas support. Auto-detects vault, path traversal protection, MIT licensed. - [rps321321/obsidian-mcp-pro](https://github.com/rps321321/obsidian-mcp-pro) [![rps321321/obsidian-mcp-pro MCP server](https://glama.ai/mcp/servers/rps321321/obsidian-mcp-pro/badges/score.svg)](https://glama.ai/mcp/servers/rps321321/obsidian-mcp-pro) 📇 🏠 🍎 🪟 🐧 - Feature-complete Obsidian vault MCP server with 23 tools and 3 resources. Full-text search, note CRUD, frontmatter queries, tag management, backlinks, graph traversal (BFS up to 5 hops), orphan/broken link detection, and canvas support. Auto-detects vault, path traversal protection, MIT licensed.
- [Semiotronika/LINZA-MCP](https://github.com/Semiotronika/LINZA-MCP) [![Semiotronika/LINZA-MCP MCP server](https://glama.ai/mcp/servers/Semiotronika/LINZA-MCP/badges/score.svg)](https://glama.ai/mcp/servers/Semiotronika/LINZA-MCP) 🐍 🏠 🍎 🪟 🐧 - Local-first review-gated sidecar for Markdown workspaces. Indexes notes and incoming artifacts into SQLite, proposes domains, links, memory, and growth cards with evidence, and keeps source files unchanged until explicit review. `pip install linza-mcp` - [Semiotronika/LINZA-MCP](https://github.com/Semiotronika/LINZA-MCP) [![Semiotronika/LINZA-MCP MCP server](https://glama.ai/mcp/servers/Semiotronika/LINZA-MCP/badges/score.svg)](https://glama.ai/mcp/servers/Semiotronika/LINZA-MCP) 🐍 🏠 🍎 🪟 🐧 - Local-first review-gated sidecar for Markdown workspaces. Indexes notes and incoming artifacts into SQLite, proposes domains, links, memory, and growth cards with evidence, and keeps source files unchanged until explicit review. `pip install linza-mcp`