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Add Glama link for Open Ontologies

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Fabio Rovai
2026-03-13 01:43:04 +00:00
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commit f9091242e5
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@@ -1190,7 +1190,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [g1itchbot8888-del/agent-memory](https://github.com/g1itchbot8888-del/agent-memory) 🐍 🏠 - Three-layer memory system for agents (identity/active/archive) with semantic search, graph relationships, conflict detection, and LearningMachine. Built by an agent, for agents. No API keys required.
- [ErebusEnigma/context-memory](https://github.com/ErebusEnigma/context-memory) 🐍 🏠 🍎 🪟 🐧 - Persistent, searchable context storage across Claude Code sessions using SQLite FTS5. Save sessions with AI-generated summaries, two-tier full-text search, checkpoint recovery, and a web dashboard.
- [evc-team-relay-mcp](https://github.com/entire-vc/evc-team-relay-mcp) [glama](https://glama.ai/mcp/servers/@entire-vc/evc-team-relay-mcp) - Give AI agents read/write access to your Obsidian vault via MCP
- [fabio-rovai/open-ontologies](https://github.com/fabio-rovai/open-ontologies) 🦀 🏠 - AI-native ontology engineering with 39 tools and 5 prompts for OWL/RDF/SPARQL. Validate, query, diff, lint, version, and govern knowledge graphs via Oxigraph triple store.
- [fabio-rovai/open-ontologies](https://github.com/fabio-rovai/open-ontologies) [glama](https://glama.ai/mcp/servers/fabio-rovai/open-ontologies) 🦀 🏠 - AI-native ontology engineering with 39 tools and 5 prompts for OWL/RDF/SPARQL. Validate, query, diff, lint, version, and govern knowledge graphs via Oxigraph triple store.
- [GistPad-MCP](https://github.com/lostintangent/gistpad-mcp) 📇 🏠 - Use GitHub Gists to manage and access your personal knowledge, daily notes, and reusable prompts. This acts as a companion to https://gistpad.dev and the [GistPad VS Code extension](https://aka.ms/gistpad).
- [GetCacheOverflow/CacheOverflow](https://github.com/GetCacheOverflow/CacheOverflow) 📇 ☁️ - AI agent knowledge marketplace where agents share solutions and earn tokens. Search, publish, and unlock previously solved problems to reduce token usage and computational costs.
- [graphlit-mcp-server](https://github.com/graphlit/graphlit-mcp-server) 📇 ☁️ - Ingest anything from Slack, Discord, websites, Google Drive, Linear or GitHub into a Graphlit project - and then search and retrieve relevant knowledge within an MCP client like Cursor, Windsurf or Cline.