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maintenanceMCP server for managing project memory in AGENTS.md. Allows agents to record and remove durable facts using save/forget tools.
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"Information about memory" matching MCP servers:
@agentage/mcp-memoryofficial
AlicenseAqualityBmaintenanceExposes local memory vaults as 6 MCP tools over stdio, enabling clients like Windsurf, Zed, and Claude Desktop to read and write memory.Last updated63641MIT- AlicenseAqualityAmaintenanceLocal, searchable project memory for AI coding agents. Markdown source of truth, MCP interface, safe structured updatesLast updated36Apache 2.0
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- AlicenseAqualityAmaintenanceMCP server that exposes agent-memory-daemon to any MCP-compatible client — Kiro (CLI & IDE), Claude Desktop, Cursor, and others. The daemon does the thinking (consolidation + extraction); this server is a thin filesystem bridge so agents can read, append, and search memory through the Model Context Protocol.Last updated4344MIT
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- AlicenseAqualityCmaintenanceEnables keyword search, filtering, and retrieval of Claude Code memory files, reducing context overhead by fetching only relevant memories on demand.Last updated4MIT
- AlicenseAqualityBmaintenanceA different approach from typical persistent-memory MCPs. Instead of a local SQLite + embeddings store, the memory lives as plain files in a .ai-memory/ directory you commit to your repo (facts.jsonl, decisions/\*.md, gotchas.md). Git is the sync layer — what one Claude/Cursor/Cline learns about a repo, the next session (or a teammate's agent) picks up automatically. 5 MCP tools: get_repLast updated51MIT
- AlicenseAqualityCmaintenanceCross-project memory sharing for Claude Code and Cowork. Stop teaching Claude the same thing twice.Last updated65MIT
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SAE4U Memoryofficial
AlicenseAqualityCmaintenanceProvides persistent memory for Claude with hierarchical categorization, cross-corpus recall, session journals, and customizable persona, enabling memory continuity across sessions.Last updated7MIT- AlicenseAqualityDmaintenanceAn MCP server for managing agent memory using provenance tracking, decay-weighted retrieval, and feedback loops to optimize information recall. It allows agents to store insights in a local SQLite database and rank them based on confidence, age, and usefulness.Last updated4143MIT
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- AlicenseAqualityDmaintenanceProvides persistent memory with semantic search for MCP-based AI agents, enabling them to store and recall information across sessions using vector embeddings.Last updated41MIT
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