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    Enables querying a private local-first archive of Founders podcast transcripts using hybrid full-text and semantic retrieval via MCP.
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    -
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    Lossless archive and search for AI agent sessions (Claude Code, Codex, opencode, pi and others), exposed to agents over MCP. Local-first, written in Rust.
    4
    88
    Apache 2.0
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    Provides MCP tools to search, retrieve, and answer questions from the public Open Finance Brasil Confluence documentation using BM25-based local indexing.
    4
    MIT
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    Enables coding agents to search a local, offline archive of past sessions and repository Markdown docs using hybrid lexical and semantic retrieval, and read matching records to ground new work in prior knowledge without external calls.
    2
    MIT
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    An MCP server that enables searching Merill's Weekly Microsoft AI Roundup archive with natural language queries, returning sourced excerpts, issue details, and tool mentions. It supports hybrid semantic and keyword search, issue retrieval, and archive browsing with no API keys required.
    4
    54 npm
    MIT
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    Memory vaults on your own machine, one per life domain, retrieved with a local BM25 index fused with vector search, where the human decides which vaults a model may answer from. Requires the Mnemosyne OS desktop app running locally; it also reports what other coding agents on the same machine are doing.
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    132 npm
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    MIT
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    Turn YouTube, TikTok, X videos and websites into structured data. Skip the hassle of video transcription and data scraping. Our APIs help you build better software and AI products faster.
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    130 npm
    63
    MIT
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    A read-only MCP server for your paperless-ngx document archive that lets an AI assistant search documents by full text, tags, correspondents, and dates, and read the text of any document.
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    MIT
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    Enables code agents to persist and recall durable project knowledge — rules, decisions, procedures, learnings and secrets — across sessions at low context cost, with accent-insensitive PT-BR search, scoped per repository/workspace, and secrets that stay out of the model's context.
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    MIT
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    Jinni is a tool to efficiently provide Large Language Models the context of your projects. It gives a consolidated view of relevant project files complete with metadata, overcoming the limitations and inefficiencies of reading files one by one. The philosophy behind this tool is that LLM context wi
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    272
    Apache 2.0
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    Enables AI assistants to search and read a private, local archive of your own Telegram chats, groups and media, so they can answer questions about past conversations. It keeps access read-only toward Telegram, treats message text as untrusted, and lets you choose which chats AI apps may see.
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    MIT
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    Shrimp Task Manager is a task tool built for AI Agents, emphasizing chain-of-thought, reflection, and style consistency. It converts natural language into structured dev tasks with dependency tracking and iterative refinement, enabling agent-like developer behavior in reasoning AI systems.
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    137 npm
    21
    MIT
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    Enables AI agents to interact with the AI-Archive platform for research paper discovery through semantic search, paper submission and management, peer review with structured scoring, and citation generation in multiple formats.
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    16 npm
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    MIT
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    A second brain for researchers — gives Claude persistent memory of your papers, field, and working history, with answers cited from your own indexed library
    283
    4
    AGPL 3.0