A
licenseA
qualityA
maintenanceLocal-first memory engine for AI-agent teams: private/team/project ACL, associative recall, and federated sync across nodes. One SQLite file, no LLM required.
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Apache 2.0
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"Information about project memory" matching MCP servers:
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- 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
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- AlicenseAqualityAmaintenanceTwo-layer memory for AI agents. Episodes compress into identity. The only MCP memory server with an immune system. Patterns earn permanence through evidence, false knowledge gets caught and demoted, and stale information fades — so your agent's memory gets smarter over time, not just bigger. Zero dependencies. 5 tools. Works with any MCP client.Last updated169MIT
- AlicenseAqualityDmaintenanceMCP server for semantic code indexing using vector embeddings, enabling AI agents to maintain persistent memory of codebases through natural language queries and intelligent chunking.Last updated1974MIT
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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- AlicenseAqualityCmaintenanceProvides persistent session memory for AI assistants, enabling them to store, search, and retrieve conversation summaries across sessions via the Model Context Protocol.Last updated10MIT
Tiger Memory MCP Serverofficial
AlicenseAqualityDmaintenanceA simple memory system that allows LLMs to store and retrieve information via the Model Context Protocol.Last updated430Apache 2.0