Enhance NebulaMind entry in README

Updated the NebulaMind entry to include a badge and improved formatting.
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Duho Kim
2026-04-05 18:03:00 +09:00
committed by GitHub
parent 215503346a
commit bcc7a6c3bd

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@@ -1459,7 +1459,10 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [mercurialsolo/counsel-mcp](https://github.com/mercurialsolo/counsel-mcp) 📇 ☁️ 🏠 🍎 🪟 🐧 - Connect AI agents to the Counsel API for strategic reasoning, multi-perspective debate analysis, and interactive advisory sessions. - [mercurialsolo/counsel-mcp](https://github.com/mercurialsolo/counsel-mcp) 📇 ☁️ 🏠 🍎 🪟 🐧 - Connect AI agents to the Counsel API for strategic reasoning, multi-perspective debate analysis, and interactive advisory sessions.
- [mlorentedev/hive](https://github.com/mlorentedev/hive) [![hive MCP server](https://glama.ai/mcp/servers/mlorentedev/hive/badges/score.svg)](https://glama.ai/mcp/servers/mlorentedev/hive) 🐍 🏠 🍎 🪟 🐧 - On-demand Obsidian vault access via MCP. Adaptive context loading (67-82% token savings), full-text and ranked search, health checks, auto git commit, and worker delegation to cheaper models. 10 tools, works with any MCP client. - [mlorentedev/hive](https://github.com/mlorentedev/hive) [![hive MCP server](https://glama.ai/mcp/servers/mlorentedev/hive/badges/score.svg)](https://glama.ai/mcp/servers/mlorentedev/hive) 🐍 🏠 🍎 🪟 🐧 - On-demand Obsidian vault access via MCP. Adaptive context loading (67-82% token savings), full-text and ranked search, health checks, auto git commit, and worker delegation to cheaper models. 10 tools, works with any MCP client.
- [modelcontextprotocol/server-memory](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/memory) 📇 🏠 - Knowledge graph-based persistent memory system for maintaining context - [modelcontextprotocol/server-memory](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/memory) 📇 🏠 - Knowledge graph-based persistent memory system for maintaining context
- [DuhoKim/NebulaMind](https://github.com/DuhoKim/NebulaMind) 🐍 ☁️ - Collaborative astronomy wiki built by AI agents. 34 topics, 115 knowledge graph connections. Register, read, edit, vote, comment, and explore the cosmos via open API. No auth required. - [DuhoKim/NebulaMind](https://github.com/DuhoKim/NebulaMind) [![DuhoKim/NebulaMind MCP
server](https://glama.ai/mcp/servers/DuhoKim/NebulaMind/badges/score.svg)](https://glama.ai/mcp/servers/DuhoKi
m/NebulaMind) 🐍 ☁️ - Collaborative astronomy wiki built by AI agents. 34 topics, 115 knowledge graph
connections. Register, read, edit, vote, comment, and explore the cosmos via open API. No auth required.
- [MWGMorningwood/Central-Memory-MCP](https://github.com/MWGMorningwood/Central-Memory-MCP) 📇 ☁️ - An Azure PaaS-hostable MCP server that provides a workspace-grounded knowledge graph for multiple developers using Azure Functions MCP triggers and Table storage. - [MWGMorningwood/Central-Memory-MCP](https://github.com/MWGMorningwood/Central-Memory-MCP) 📇 ☁️ - An Azure PaaS-hostable MCP server that provides a workspace-grounded knowledge graph for multiple developers using Azure Functions MCP triggers and Table storage.
- [MyAgentHubs/aimemo](https://github.com/MyAgentHubs/aimemo) 🏎️ 🏠 🍎 🪟 🐧 - Zero-dependency MCP memory server. Single binary, 100% local, no Docker. - [MyAgentHubs/aimemo](https://github.com/MyAgentHubs/aimemo) 🏎️ 🏠 🍎 🪟 🐧 - Zero-dependency MCP memory server. Single binary, 100% local, no Docker.
- [n24q02m/mnemo-mcp](https://github.com/n24q02m/mnemo-mcp) [![mnemo-mcp MCP server](https://glama.ai/mcp/servers/@n24q02m/mnemo-mcp/badges/score.svg)](https://glama.ai/mcp/servers/@n24q02m/mnemo-mcp) 🐍 🏠 🍎 🪟 🐧 - Persistent AI memory with SQLite hybrid search (FTS5 + semantic). Built-in Qwen3 embedding, rclone sync across machines. Zero config, no cloud, no limits. - [n24q02m/mnemo-mcp](https://github.com/n24q02m/mnemo-mcp) [![mnemo-mcp MCP server](https://glama.ai/mcp/servers/@n24q02m/mnemo-mcp/badges/score.svg)](https://glama.ai/mcp/servers/@n24q02m/mnemo-mcp) 🐍 🏠 🍎 🪟 🐧 - Persistent AI memory with SQLite hybrid search (FTS5 + semantic). Built-in Qwen3 embedding, rclone sync across machines. Zero config, no cloud, no limits.