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@@ -898,7 +898,6 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [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).
- [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.
- [hannesrudolph/mcp-ragdocs](https://github.com/hannesrudolph/mcp-ragdocs) 🐍 🏠 - An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context
- [Hindsight](https://github.com/vectorize-io/hindsight) 🐍 ☁️ 🏠 - Hindsight: Agent Memory That Works Like Human Memory - Built for AI Agents to manage Long Term Memory
- [jinzcdev/markmap-mcp-server](https://github.com/jinzcdev/markmap-mcp-server) 📇 🏠 - An MCP server built on [markmap](https://github.com/markmap/markmap) that converts **Markdown** to interactive **mind maps**. Supports multi-format exports (PNG/JPG/SVG), live browser preview, one-click Markdown copy, and dynamic visualization features.
- [kaliaboi/mcp-zotero](https://github.com/kaliaboi/mcp-zotero) 📇 ☁️ - A connector for LLMs to work with collections and sources on your Zotero Cloud
- [louis030195/easy-obsidian-mcp](https://github.com/louis030195/easy-obsidian-mcp) 📇 🏠 🍎 🪟 🐧 - Interact with Obsidian vaults for knowledge management. Create, read, update, and search notes. Works with local Obsidian vaults using filesystem access.
@@ -917,6 +916,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [topoteretes/cognee](https://github.com/topoteretes/cognee/tree/dev/cognee-mcp) 📇 🏠 - Memory manager for AI apps and Agents using various graph and vector stores and allowing ingestion from 30+ data sources
- [unibaseio/membase-mcp](https://github.com/unibaseio/membase-mcp) 📇 ☁️ - Save and query your agent memory in distributed way by Membase
- [upstash/context7](https://github.com/upstash/context7) 📇 ☁️ - Up-to-date code documentation for LLMs and AI code editors.
- [vectorize-io/hindsight](https://github.com/vectorize-io/hindsight) 🐍 ☁️ 🏠 - Hindsight: Agent Memory That Works Like Human Memory - Built for AI Agents to manage Long Term Memory
- [JamesANZ/memory-mcp](https://github.com/JamesANZ/memory-mcp) 📇 🏠 - An MCP server that stores and retrieves memories from multiple LLMs using MongoDB. Provides tools for saving, retrieving, adding, and clearing conversation memories with timestamps and LLM identification.
- [JamesANZ/cross-llm-mcp](https://github.com/JamesANZ/cross-llm-mcp) 📇 🏠 - An MCP server that enables cross-LLM communication and memory sharing, allowing different AI models to collaborate and share context across conversations.
- [harrison/ai-counsel](https://github.com/harrison/ai-counsel) - 🐍 🏠 🍎 🪟 🐧 - Deliberative consensus engine enabling multi-round debate between AI models with structured voting, convergence detection, and persistent decision graph memory.