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maintenanceA persistent memory implementation using a local knowledge graph that lets Claude remember information about users across conversations.
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MIT
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"A server for searching information about memory" matching MCP servers:
- Alicense-qualityDmaintenanceAn advanced contextual memory server for agent orchestration providing chronological history, semantic vector search via Redis Stack, and temporary scratchpad storage. It also enables context compression through history rollups and facilitates inter-agent communication using a Redis-based Pub/Sub system.13MIT
- Alicense-qualityBmaintenanceA shared memory and coordination server for multiple AI coding agents, built on the Model Context Protocol (MCP).5MIT
- Alicense-qualityFmaintenanceProvides a centralized MCP-based system for managing and accessing multi-project memory banks remotely, with features like project isolation, file structure validation, and type-safe operations.202916MIT
- FlicenseAqualityDmaintenanceA lightweight MCP server that records and reuses prompt gaps — essential context missing from initial instructions — so your AI assistant learns from every session using a plain JSONL file tracked by Git.414
- AlicenseBqualityCmaintenanceProvides a shared context layer for AI agent teams to improve token efficiency through context deduplication and incremental state sharing. It enables multiple agents to coordinate tasks, share real-time discoveries, and manage dependencies while significantly reducing redundant data transmission.1507MIT
- FlicenseBqualityCmaintenanceEnables AI agents to drive real Google Chrome with stealth and captcha handling, using Patchright to avoid bot detection.70
- Alicense-qualityAmaintenanceProduction-ready MCP server providing RAG, hierarchical memory, and 8+ tools for AI agents via the Model Context Protocol.41Apache 2.0
- Alicense-qualityCmaintenanceModel Context Protocol (MCP) memory server built with Azure Functions and TypeScript, providing persistent knowledge graph storage for your preferred MCP client. Inspired by and forked from @modelcontextprotocol/server-memory3MIT
- Alicense-qualityCmaintenanceProvides a shared memory bridge for AI agents (QClaw, Claude Code, Codex) allowing them to store, search, and retrieve notes, decisions, and conclusions via MCP tools, using local SQLite with optional TencentDB integration.MIT
- Alicense-qualityAmaintenanceAn MCP server that provides persistent memory for AI agents, enabling context retention across sessions and supporting vibe-loop workflows where agent promises and deliverables are tracked and validated.MIT
- Alicense-qualityCmaintenanceA production-ready MCP server that enables multiple AI agents to collaborate through a shared, concurrency-safe memory space. It supports advanced search, full CRUD operations, and automatic backups to facilitate asynchronous communication between agents.MIT
- Alicense-qualityDmaintenanceA Model Context Protocol server implementation that allows AI models to interact with and manage Spinnaker deployments, pipelines, and applications through a standardized interface.161MIT
- Alicense-qualityDmaintenanceAn enhanced MCP server that provides intelligent memory and task management for AI assistants, featuring semantic search, automatic task extraction, and knowledge graphs to help manage development workflows.33MIT
- Flicense-qualityDmaintenanceExposes Coze workflows as MCP tools, allowing AI clients to discover and execute workflows from a specified Coze workspace. It provides a simple way to integrate external skills into platforms like OpenClaw without needing local environment configurations.98
- Flicense-qualityCmaintenanceEnables AI agents to share persistent memory via an MCP server using SQLite, supporting multi-tenant, categorized knowledge with TTL and semantic links, without requiring vector databases.
- Flicense-qualityDmaintenanceProvides two Model Context Protocol servers that enable controlling IoT devices and managing persistent memory storage with semantic search capabilities.2
- AlicenseBqualityCmaintenanceA Model Context Protocol server implementation that enables AI assistants to interact with Slack workspaces, allowing them to browse channels, send messages, reply to threads, add reactions, and retrieve user information.962Apache 2.0
- AlicenseCqualityCmaintenanceAn MCP server implementation that integrates AI assistants with Langfuse workspaces, allowing models to query LLM metrics by time range.1123Apache 2.0
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Alicense-qualityBmaintenanceEnables routing context and execution across AI tools like Claude, Cursor, Windsurf, and ChatGPT with a shared memory, task board, and context bus, plus local file conversion.108Apache 2.0