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@@ -1901,7 +1901,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
- [ashlesh-t/cognirepo](https://github.com/ashlesh-t/cognirepo) [![ashlesh-t/cognirepo MCP server](https://glama.ai/mcp/servers/ashlesh-t/cognirepo/badges/score.svg)](https://glama.ai/mcp/servers/ashlesh-t/cognirepo) 🐍 🏠 🍎 🪟 🐧 - Persistent memory and codebase context for AI coding agents. FAISS vector store, AST reverse index with O(1) symbol
lookup, NetworkX knowledge graph, episodic journal, user behavior profiling, error tracking, and cross-agent session handoff. 34 MCP tools. Reduces token usage 50–80% on Python repos ≥ 15K LOC vs. raw
file reads. Works with Claude Code, Cursor, and Gemini CLI. Fully offline — no API keys required for indexing. `pip install cognirepo`
- [AshutoshRaj97/agentready-mcp](https://github.com/AshutoshRaj97/agentready-mcp) 📇 ☁️ 🍎 🪟 🐧 - Make any website queryable by AI agents. Index a site then ask questions and get cited answers grounded in its content via RAG. Tools: `list_sites` and `ask_site`. `npx -y @agentreadyweb/mcp`
- [AshutoshRaj97/agentready-mcp](https://github.com/AshutoshRaj97/agentready-mcp) [![AshutoshRaj97/agentready-mcp MCP server](https://glama.ai/mcp/servers/AshutoshRaj97/agentready-mcp/badges/score.svg)](https://glama.ai/mcp/servers/AshutoshRaj97/agentready-mcp) 📇 ☁️ 🍎 🪟 🐧 - Make any website queryable by AI agents. Index a site then ask questions and get cited answers grounded in its content via RAG. Tools: `list_sites` and `ask_site`. `npx -y @agentreadyweb/mcp`
- [Auctalis/nocturnusai](https://github.com/Auctalis/nocturnusai) [![Auctalis/nocturnusai MCP server](https://glama.ai/mcp/servers/Auctalis/nocturnusai/badges/score.svg)](https://glama.ai/mcp/servers/Auctalis/nocturnusai) 🐍 🏠 - Deterministic reasoning engine for AI agent context compression. Extracts structured facts with logical inference, proof chains, and truth maintenance. REST API, Python/TypeScript SDKs, and MCP server integration.
- [0xshellming/mcp-summarizer](https://github.com/0xshellming/mcp-summarizer) 📕 ☁️ - AI Summarization MCP Server, Support for multiple content types: Plain text, Web pages, PDF documents, EPUB books, HTML content
- [20alexl/claude-engram](https://github.com/20alexl/claude-engram) [![20alexl/claude-engram MCP server](https://glama.ai/mcp/servers/20alexl/claude-engram/badges/score.svg)](https://glama.ai/mcp/servers/20alexl/claude-engram) 🐍 🏠 - Persistent memory and session intelligence for Claude Code. Auto-tracks mistakes, decisions, and context via hooks. Mines session history for patterns and cross-session search. Loop detection, pre-edit warnings, context compaction survival. Runs locally with Ollama.