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Add Geond Agent Protocol

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geondongkim
2026-05-29 04:03:15 +09:00
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@@ -1739,6 +1739,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [evc-team-relay-mcp](https://github.com/entire-vc/evc-team-relay-mcp) [![evc-team-relay-mcp MCP server](https://glama.ai/mcp/servers/@entire-vc/evc-team-relay-mcp/badges/score.svg)](https://glama.ai/mcp/servers/@entire-vc/evc-team-relay-mcp) - Give AI agents read/write access to your Obsidian vault via MCP
- [dl4rce/flaiwheel](https://github.com/dl4rce/flaiwheel) [![flaiwheel MCP server](https://glama.ai/mcp/servers/dl4rce/flaiwheel/badges/score.svg)](https://glama.ai/mcp/servers/dl4rce/flaiwheel) 🐍 🏠 🍎 🪟 🐧 - Self-hosted memory and governance layer for AI coding agents. 28 MCP tools with structured knowledge capture, hybrid search (semantic + BM25 + cross-encoder reranking), behavioral documentation nudges, cold-start codebase analyzer, and git-native storage. Single Docker container, zero cloud dependencies.
- [fabio-rovai/open-ontologies](https://github.com/fabio-rovai/open-ontologies) [![open-ontologies MCP server](https://glama.ai/mcp/servers/fabio-rovai/open-ontologies/badges/score.svg)](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.
- [geondongkim/geond-agent-protocol](https://github.com/geondongkim/geond-agent-protocol) 🐍 🏠 ☁️ 🍎 🪟 🐧 - Local-first shared memory and coordination layer for AI coding agents: repository evidence, reservations, handoffs, code graph context, and dashboard review backed by PostgreSQL/pgvector.
- [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.