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Revise memorix project description in README

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Updated the description of the memorix project to clarify its features and capabilities.
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Le_Ho
2026-02-15 23:58:20 +08:00
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@@ -999,7 +999,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [20alexl/mini_claude](https://github.com/20alexl/mini_claude) 🐍 🏠 - Persistent memory and guardrails for Claude Code. Features mistake tracking, loop detection, scope guard, and hooks that block risky edits. Runs locally with Ollama.
- [agentic-mcp-tools/memora](https://github.com/agentic-mcp-tools/memora) 🐍 🏠 ☁️ - Persistent memory with knowledge graph visualization, semantic/hybrid search, cloud sync (S3/R2), and cross-session context management.
- [apecloud/ApeRAG](https://github.com/apecloud/ApeRAG) 🐍 ☁️ 🏠 - Production-ready RAG platform combining Graph RAG, vector search, and full-text search. Best choice for building your own Knowledge Graph and for Context Engineering
- [AVIDS2/memorix](https://github.com/AVIDS2/memorix) 📇 🏠 🍎 🪟 🐧 - Cross-agent memory bridge with knowledge graph, progressive disclosure search, workspace sync (MCP configs, rules, skills), and auto-memory hooks. Supports Windsurf, Cursor, Claude Code, Codex, and VS Code Copilot.
- [AVIDS2/memorix](https://github.com/AVIDS2/memorix) 📇 🏠 🍎 🪟 🐧 - Cross-agent memory bridge for AI coding agents. Shares knowledge graphs, observations, and project context across Windsurf, Cursor, Claude Code, Codex, Copilot, and Antigravity via MCP. Features 3-layer progressive disclosure search, auto-memory hooks, workspace sync (MCP configs, rules, skills), memory retention with decay scoring, and a visual web dashboard.
- [bh-rat/context-awesome](https://github.com/bh-rat/context-awesome) 📇 ☁️ 🏠 - MCP server for querying 8,500+ curated awesome lists (1M+ items) and fetching the best resources for your agent.
- [bitbonsai/mcp-obsidian](https://github.com/bitbonsai/mcp-obsidian) 📇 🏠 🍎 🪟 🐧 - Universal AI bridge for Obsidian vaults using MCP. Provides safe read/write access to notes with 11 comprehensive methods for vault operations including search, batch operations, tag management, and frontmatter handling. Works with Claude, ChatGPT, and any MCP-compatible AI assistant.
- [bluzername/lennys-quotes](https://github.com/bluzername/lennys-quotes) 📇 🏠 - Query 269 episodes of Lenny's Podcast for product management wisdom. Search 51,000+ transcript segments with YouTube timestamps. Perfect for PRDs, strategy, and PM career advice.