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    Windows-local MCP for Steam Balatro: tool-calling AI reads player-visible state, chooses and executes native actions, confirms results, and saves local experience. Glama's Linux sandbox can introspect MCP and run game-independent tools such as calculate, but cannot connect to Balatro on the user's Windows machine. Without the local game, health reports disconnected.
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    MIT
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    Provides a local-first memory layer for coding agents, storing principles, rules, and corrections on-device and surfacing them at the moments they apply so agents act on the intended outcomes without sending data to the cloud.
    16,039 npm
    2
    AGPL 3.0
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    Local MCP server exposing the dek-memory hybrid memory engine over stdio, with optional ChatGPT tools for managing account memories via a browser profile.
    MIT
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    C
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    Enables users to sign in with OAuth and build, page through, review, grade, and delete their own private flashcard deck through MCP tools. Per-user isolation is enforced in code, with per-account limits on card count, stored text, and tool calls per minute.
    MIT
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    Shared team memory for AI coding agents with Bayesian confidence scoring and temporal decay, enabling persistent storage and retrieval of engineering patterns across sessions.
    24 npm
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    MIT
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    Decision memory for teams building with AI coding agents. Captures every engineering decision once, ranks it by blast radius, and briefs every MCP-compatible agent before it acts, so agents stop making conflicting changes across repos.
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    10 npm
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    Apache 2.0
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    Enables AI coding assistants to query and store a team's historical development experience through semantic search, so lessons and decisions persist across conversations.
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    MIT
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    Enables interaction with the RAGFlow API to manage knowledge base datasets and conduct AI-driven chat sessions. Users can list datasets, create chat assistants, and retrieve or query information from specialized knowledge bases.
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    Enables coding agents such as Claude Code and Cursor to check a team's learned decisions from pull requests, reviews, and docs before writing code, showing whether breaking them is blocking or advisory. It also provides locally computed symbol impact/blast-radius analysis so source code never leaves the machine.
    55 npm
    2
    MIT
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    Provides QE Framework expert-library guidance with compact search and recommendation tools, returning full expert content only on explicit request.
    8 npm
    MIT
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    Enables Claude to maintain a team knowledge base stored as markdown in a GitHub repository, with tools for search, edit, linking, and interactive views.
    3 npm
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    AGPL 3.0
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    Enables AI assistants to run PubMed searches in plain English, download full-text articles from PubMed Central, and map the similar, citing and cited evidence around key papers. It also builds an Obsidian knowledge graph of a study's literature, with retractions flagged and citations traceable to papers the assistant read.
    89 PyPI
    MIT
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    Every memory framework treats a frequently-used fact as trustworthy forever but "still relevant" and "still true" aren't the same thing.A customer's city, a teammate's role, a project's status: these age quietly, and nothing catches it until an agent confidently repeats something that stopped being true months ago. FactLayer is a lightweight check that sits on top of whatever memory system you.
    1
    MIT
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    Enables AI assistants to maintain persistent personal memory in the user's own Google Drive, including save points, rules, projects, decisions, wins, and daily tidy-up. This lets context and preferences carry across chats while keeping stored files user-controlled.
    MIT