A
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qualityC
maintenanceEnables AI assistants like Cursor and Claude Desktop to access a local AI Material Cabinet for searching, reading/writing content, creating documents, and retrieving chunks via MCP.
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"Speaking to Claude AI via Slack" matching MCP servers:
- AlicenseAqualityDmaintenanceEnables Claude Code to search, browse, and read its own past conversation history across all projects using BM25 keyword search.17MIT
- AlicenseAqualityDmaintenanceProvides versioned, structured memory for AI agents, allowing them to store facts, detect conflicts, and track knowledge history via a hosted SaaS platform. It enables efficient hierarchical information retrieval and semantic search while keeping token usage constant as memory scales.7277Apache 2.0
- AlicenseAqualityCmaintenanceSearches your local Claude Code conversation history to recall and resume past solutions.4471MIT
- AlicenseAqualityCmaintenanceServes 484 Claude Code skills and 17 global rules as MCP tools, enabling skill and rule retrieval, keyword search, and project-level rule discovery for any Claude client.11102MIT
- AlicenseAqualityCmaintenancePull Deep Memory from across your Claude Code Sessions — when you need it.18510MIT
- AlicenseAqualityBmaintenanceAn MCP server that reads all your Claude Code project memory files and exposes them as tools. Lets any Claude instance — in any project, or via Claude.ai — query your full project history and preferences.571MIT
- AlicenseAqualityAmaintenanceProvides persistent, searchable memory across AI coding agent and chat history (Claude Code, Codex, Gemini CLI, ChatGPT, and more) via retrieval-augmented generation, enabling semantic and hybrid search to retain context across sessions.55MIT
- AlicenseAqualityBmaintenanceProvides a read-only interface to audit and continue coding agent sessions by extracting plans, intents, and edit authorship from history across multiple agents (Claude, Codex, OpenCode, Antigravity, Pi) via MCP, CLI, and Python SDK.183MIT
- AlicenseAqualityCmaintenanceProvides a hybrid memory architecture with a thin SQLite index and Markdown cold storage, enabling AI agents to write, query, link, and rebuild long-term memories via MCP tools, model-agnostic and zero third-party dependencies.7MIT
- AlicenseAqualityDmaintenanceProvides Claude Code with cross-session long-term memory via Letta, allowing it to read and store project context, learnings, and decisions.591MIT
- AlicenseAqualityDmaintenanceMCP server for reading Claude Code session history from the local filesystem, exposing project and session data to MCP-compatible clients.6MIT
- AlicenseAqualityBmaintenanceA persistent, project-scoped memory layer for AI agents, supporting hybrid retrieval (vector, keyword, and tag matching) and sharing across different MCP clients like Claude Code, Qoder, or Cursor.8MIT
- AlicenseAqualityDmaintenanceAn MCP server that enables users to retrieve, filter, and search through Claude Code conversation history stored in local projects. It provides tools for listing projects and sessions, paginating through message history, and searching across conversations with keyword filtering.42511MIT
- AlicenseAqualityCmaintenanceEnables keyword search, filtering, and retrieval of Claude Code memory files, reducing context overhead by fetching only relevant memories on demand.4MIT
- AlicenseAqualityCmaintenanceExtends large language model context length up to 60 times using gravitational memory, designed for Claude Code and Anthropic AI models.892MIT
- FlicenseAqualityDmaintenanceA lightweight MCP server that provides Claude Desktop with persistent memory across conversations by storing, summarizing, and retrieving conversation history.3
- AlicenseAqualityDmaintenanceTurns Claude into a structured interviewer with a collective evolution system that gets smarter with each conversation.441MIT
- AlicenseAqualityDmaintenanceEnables persistent memory for Claude Code sessions by recording observations and building knowledge graphs for cross-session learning and domain knowledge management.11MIT
- FlicenseAquality-maintenanceOvercomes Claude Code's 200k token context limit by implementing persistent long-term memory using Redis and AI-powered state summarization. Enables seamless checkpoint and resume of project context across sessions.4
