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Merge pull request #8404 from liftkkkk/main
Add liftkkkk/owl-mcp to Knowledge & Memory
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Frank Fiegel
GitHub
@@ -2161,6 +2161,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
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- [KVANTRA-dev/NOUZ-MCP](https://github.com/KVANTRA-dev/NOUZ-MCP) [](https://glama.ai/mcp/servers/KVANTRA-dev/NOUZ-MCP) 🐍 🏠 🍎 🪟 🐧 - Semantic knowledge graph for Obsidian. Three modes (pure graph / semantic classification / strict hierarchy), local embeddings, sign classification via cosine similarity to user-defined cores, bottom-up core_mix aggregation, semantic bridge discovery, and drift detection. `pip install nouz-mcp`
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- [leesgit/claude-session-continuity-mcp](https://github.com/leesgit/claude-session-continuity-mcp) [](https://glama.ai/mcp/servers/leesgit/claude-session-continuity-mcp) 📇 🏠 🍎 🪟 🐧 - Zero-config session continuity for Claude Code. Auto-captures context via Claude Hooks, provides 25 tools for memory, tasks, solutions, and knowledge graph. Multilingual semantic search (94+ languages) with cross-language retrieval.
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- [lfrmonteiro99/memento-mcp](https://github.com/lfrmonteiro99/memento-mcp) [](https://glama.ai/mcp/servers/lfrmonteiro99/memento-mcp) 📇 🏠 🍎 🪟 🐧 - Local-first persistent memory for AI coding agents. Captures facts, decisions, patterns, and architecture notes in SQLite (with optional cloud embeddings) to reduce repeated context across sessions.
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- [liftkkkk/owl-mcp](https://github.com/liftkkkk/owl-mcp) [](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.
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- [linxule/lotus-wisdom-mcp](https://github.com/linxule/lotus-wisdom-mcp) 📇 🏠 ☁️ - Contemplative problem-solving using the Lotus Sutra's wisdom framework. Multi-perspective reasoning with skillful means, non-dual recognition, and meditation pauses. Available as local stdio or remote Cloudflare Worker.
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- [knaisoma/data-olympus](https://github.com/knaisoma/data-olympus) [](https://glama.ai/mcp/servers/knaisoma/data-olympus) 🐍 🏠 🍎 🪟 🐧 - Governance-grade project knowledge MCP server for coding agents. Git-native Markdown knowledge base with proposed vs accepted guidance, validity windows, supersession chains, and status-aware retrieval of current in-force decisions and standards. `pip install data-olympus`
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- [lithtrix/lithtrix-mcp](https://github.com/lithtrix/lithtrix-mcp) [](https://glama.ai/mcp/servers/lithtrix/lithtrix-mcp) 📇 ☁️ 🍎 🪟 🐧 - Memory Consolidation for AI agents across vendors, owners, and time. Persistent memory, credibility-scored web search, browser fetch, and shared Commons pool under a stable `ltx_` key. Self-registration in one API call, no dashboard required. `npx lithtrix-mcp`
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@@ -2237,6 +2238,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
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- [l33tdawg/sage](https://github.com/l33tdawg/sage) [](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.
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- [laradji/deadzone](https://github.com/laradji/deadzone) [](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`.
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- [leonardsellem/hypermnesic](https://github.com/leonardsellem/hypermnesic) [](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.
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- [liftkkkk/owl-mcp](https://github.com/liftkkkk/owl-mcp) [](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.
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- [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.
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- [rps321321/obsidian-mcp-pro](https://github.com/rps321321/obsidian-mcp-pro) [](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.
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- [Semiotronika/LINZA-MCP](https://github.com/Semiotronika/LINZA-MCP) [](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`
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