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"How to utilize Office 365 effectively" matching MCP servers:
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- AlicenseAqualityBmaintenanceSelf-improving, verifiable memory for AI coding agents. Learns how you work, stops repeating mistakes, models each project, recalls the right lesson at the right moment. Every memory is signed and tamper-evident. Local-first.Last updated82Apache 2.0
Tribalofficial
FlicenseAqualityBmaintenanceSemantic memory for AI builders: capture the tacit engineering know-how that never reaches your docs, recall it the moment it applies. Built in Rust on Postgres and pgvector.Last updated108- AlicenseAqualityAmaintenanceAn MCP server that provides coding models with a live code index, inferred code graph, durable memory, and surgical tools to help them leverage their existing reasoning and coding abilities effectively.Last updated203522MIT
mcp-server-qdrantofficial
AlicenseBqualityDmaintenanceThis repository is an example of how to create a MCP server for Qdrant, a vector search engine.Last updated21,483Apache 2.0- Alicense-qualityAmaintenancePersistent, local memory for AI coding agents that learns how you work, not just what you said. Supports Claude Code, Codex CLI, Cursor, and any MCP client.Last updated62MIT
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- Alicense-qualityDmaintenanceAn MCP server that provides tools for privacy-oriented context API including encrypted fact storage, commitment-based proofs, and semantic search, enabling users, AI agents, and back-office systems to securely manage and prove personal facts without exposing raw data.Last updatedMIT
- TypeScriptAGPL 3.0
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- AlicenseAqualityAmaintenancecoldstart gives coding agents durable memory of a specific codebase, with no embeddings, no vector store, and no API key. Agents write notes after real tasks — what a file is for, how a flow spans files, which invariants hold — and those notes are surfaced automatically to a later session whose task matches, so nothing gets rediscovered from scratch. Every note is anchored to real files by contentLast updated61,1594MIT