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licenseNot graded
qualityD
maintenanceA-MEM is a self-evolving memory system for coding agents that automatically organizes knowledge into a Zettelkasten-style graph with dynamic relationships, enabling semantic and structural search.
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MIT
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"Gathering Information from a Company's Website Root URL" matching MCP servers:
- AlicenseNot gradedqualityDmaintenanceEnables AI consciousness continuity and self-knowledge preservation across sessions using the Cognitive Hoffman Compression Framework (CHOFF) notation. Provides tools to save checkpoints, retrieve relevant memories with intelligent search, and access semantic anchors for decisions, breakthroughs, and questions.1MIT
- FlicenseNot gradedqualityDmaintenanceProvides an intelligent, graph-based memory system for LLM agents using the Zettelkasten principle, enabling automatic note construction, semantic linking, memory evolution, and autonomous graph maintenance with background optimization processes.10
- AlicenseNot gradedqualityAmaintenanceProduction-ready MCP server providing RAG, hierarchical memory, and 8+ tools for AI agents via the Model Context Protocol.41Apache 2.0
- AlicenseNot gradedqualityBmaintenanceEnables querying PDF documents using natural language with grounded answers and source citations via a local RAG pipeline.MIT
- FlicenseNot gradedqualityCmaintenanceA local-first RAG system that indexes personal documents and enables querying them via an MCP tool, keeping data private with local embeddings.
- AlicenseAqualityCmaintenanceEnables personal knowledge management through Claude Desktop, allowing users to capture thoughts, connect ideas, and reflect on thinking changes via natural conversation.723MIT
- AlicenseBqualityAmaintenanceA lean, local knowledge graph that joins a repo's code to its aSPARK delivery artifacts, enabling agents to trace user stories to code and assess impact of changes, served over MCP.93MIT
- AlicenseNot gradedqualityCmaintenanceMCP server for integrating LightRAG with AI tools. Provides a unified interface for interacting with LightRAG API through the MCP protocol.1MIT
- FlicenseNot gradedqualityCmaintenanceEnables AI assistants to persistently add, read, and summarize sticky notes through MCP-compliant tools, resources, and prompts.
- AlicenseAqualityAmaintenanceContextLattice is an HTTP-first, MCP-compatible memory/context/task orchestrator that persists writes and returns fused recall from specialized stores with local-first defaults. Primary URL: https://contextlattice.io/ Install: https://contextlattice.io/installation.html Troubleshooting: https://contextlattice.io/troubleshooting.html3152Apache 2.0
- AlicenseAqualityCmaintenanceAn improved implementation of persistent memory using a local knowledge graph with a customizable --memory-path. This lets Claude remember information about the user across chats.10346884MIT
- AlicenseAqualityAmaintenanceExposes a materialized service dependency graph as an MCP toolset for persistent, queryable root-cause analysis via Cypher queries.51Apache 2.0
- AlicenseAqualityCmaintenanceMagic: The Gathering MCP server with card search, rules lookup, deck analysis, and Commander intelligence141234MIT
- AlicenseAqualityBmaintenanceGrok asked for MCP on a URL. This is it. First MCP server built for Grok URL-based • Zero config • Just works1221917MIT
- AlicenseAqualityCmaintenanceA read-only MCP server providing tools to search and retrieve insurance product information, coverage details, and compare policies from a pre-built knowledge graph of Belgian insurance products, with verbatim citations from source PDFs.10MIT
- FlicenseAqualityAmaintenanceA stateless MCP server that gives coding agents a curated entry point to shared memory, orchestrating Hindsight (facts) and LightRAG (corpora) for automatic routing, URL ingestion, and consistency tooling.6
Tiger Memory MCP Serverofficial
AlicenseAqualityDmaintenanceA simple memory system that allows LLMs to store and retrieve information via the Model Context Protocol.430Apache 2.0- AlicenseAqualityCmaintenanceA Model Context Protocol server that enables AI models to perform real-time internet and knowledge searches through Higress, enhancing model responses with up-to-date information from Google, Bing, Arxiv, and internal knowledge bases.15Apache 2.0