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    Self-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.
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    Apache 2.0
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    Semantic 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.
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    An MCP server that records decisions, rejected alternatives, and justifications, and retrieves them later to avoid re-litigating past choices. It stores data locally in SQLite and Markdown.
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    Apache 2.0
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    A personal notes MCP server that allows AI assistants to create, search, edit, and manage notes stored in a local SQLite database.
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    MIT
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    Zero-knowledge document vault backed by Azure Blob Storage with built-in MCP server. Client-side AES-256-GCM encryption, five tools (list, get, search, create, update), and OAuth-gated access for Claude.
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    MIT
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    A local MCP server that maintains a persona profile (contact library) for AI assistants, allowing them to create, search, retrieve, supplement, and correct information about people mentioned in conversations via tools like search_profiles, get_profile, create_profile, update_profile, add_facts, update_fact, and delete_fact.
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    Enables AI assistants to search, create, and organize content in your Capacities.io knowledge base, with limitations on reading object content due to API restrictions.
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    MIT
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    Enables AI agents to interact with BeeBoo's human-in-the-loop infrastructure for managing knowledge bases, requesting human approvals, and tracking work requests. It provides tools for semantic search, authorization workflows, and task creation across platforms like Claude and Cursor.
    8
    MIT
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    MCP server for Autodesk Flow Production Tracking (ShotGrid) enabling AI assistants to query, create, update, and delete entities via the ShotGrid API with built-in RAG anti-hallucination and safety layers.
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    MIT
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    Stores AI memories as Markdown files for visualization in Obsidian's graph view, allowing users to create knowledge graphs with entities, relations, and observations.
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    MIT