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maintenancePull Deep Memory from across your Claude Code Sessions — when you need it.
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"How to find posts by a LinkedIn user" matching MCP servers:
- AlicenseAqualityBmaintenanceCentral user-state database MCP server with durable profile facts and live virtual sensors (stress, room intensity) with configurable smoothing, readable by any agent or smart-home service.5MIT
- FlicenseAqualityBmaintenanceAnalyzes LinkedIn saved jobs with EROI scoring and writes analysis back to a knowledge base for automated reporting.5
- Alicense-qualityDmaintenanceA-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.34MIT
- Alicense-qualityDmaintenanceEnables 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
- Alicense-qualityAmaintenanceTurns GitHub repository history into a cited maintainer skill for coding agents, providing tools to collect evidence, query the knowledge graph, and inspect bundles.1MIT
- Flicense-qualityCmaintenanceEnables MCP-capable agents to retrieve relevant slices of a user-story knowledge graph (stored in Supabase + pgvector) using three retrieval verbs: find_related, find_crossover, and query_stories.
- Flicense-qualityDmaintenanceProvides 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
- AlicenseAqualityCmaintenanceTurn Obsidian notes into agent-ready context, preview-only plans, and safe repo handoffs.13143MIT
- Alicense-qualityAmaintenanceProduction-ready MCP server providing RAG, hierarchical memory, and 8+ tools for AI agents via the Model Context Protocol.41Apache 2.0
- 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
- Alicense-qualityBmaintenanceEnables querying PDF documents using natural language with grounded answers and source citations via a local RAG pipeline.MIT
- Alicense-qualityBmaintenanceA secure MCP server that connects ChatGPT/Codex to a local Obsidian Vault, enabling controlled knowledge retrieval, note maintenance, and daily ingest while enforcing path policies, concurrency checks, and audit.MIT
- Alicense-qualityCmaintenanceExposes a developer's local context (communication preferences, stack, repos, memory models) to AI agents via MCP tools and resources, enabling them to bootstrap with local guidelines and reduce context hallucination.MIT
- Flicense-qualityCmaintenanceA local-first RAG system that indexes personal documents and enables querying them via an MCP tool, keeping data private with local embeddings.
- AlicenseAqualityAmaintenanceDesign contract layer for AI agents. Scans Figma, code, Storybook, and token files, reconciles conflicts, and serves a single machine-readable source of truth so every agent gets the same authoritative design rules before it builds. Local-first.682318Apache 2.0
- AlicenseAqualityCmaintenanceEnables personal knowledge management through Claude Desktop, allowing users to capture thoughts, connect ideas, and reflect on thinking changes via natural conversation.723MIT
- Alicense-qualityDmaintenanceMCP server that connects AI agents to Google NotebookLM, enabling natural language interaction with notebooks, including Q&A, source ingestion, and audio overview generation.5,712MIT
- Alicense-qualityDmaintenanceMCP server for integrating LightRAG with AI tools. Provides a unified interface for interacting with LightRAG API through the MCP protocol.1MIT
- Alicense-qualityDmaintenanceIntegrates with Get Notes API to search and retrieve knowledge from configured knowledge bases with AI-powered synthesis and raw recall capabilities.67ISC