Showing 4 open source projects for "database hacking tool"

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  • 1
    mcp-server-chatsum

    mcp-server-chatsum

    Query and Summarize your chat messages

    mcp-server-chatsum is an MCP server that indexes your chat history and provides tools to query and produce focused summaries on demand. It offers a simple flow: point the server at a local chat database, run the companion chatbot to ingest messages, and then use the MCP tool to retrieve scoped threads and generate concise syntheses. The tool design lets agents filter by participants, time ranges, or keywords before summarizing, which keeps outputs relevant and reduces hallucinated context. Documentation provides a “before you start” checklist to initialize the dataset and highlights the single tool (query_chat_messages) that returns results and summaries. ...
    Downloads: 0 This Week
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  • 2
    Suna

    Suna

    Suna - Open Source Generalist AI Agent

    Suna is an open-source generalist AI agent developed by Kortix AI. Designed to assist users in accomplishing real-world tasks through natural conversation, Suna combines powerful capabilities with an intuitive interface. It serves as a digital companion for research, data analysis, and everyday challenges, integrating tools like browser automation, file management, web crawling, command-line execution, website deployment, and API integration. Suna's architecture comprises a FastAPI-based...
    Downloads: 3 This Week
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  • 3
    Obsidian Text Generator Plugin

    Obsidian Text Generator Plugin

    Text generator is a handy plugin for Obsidian

    Text Generator is an open-source AI Assistant Tool that brings the power of Generative Artificial Intelligence to the power of knowledge creation and organization in Obsidian. For example, use Text Generator to generate ideas, attractive titles, summaries, outlines, and whole paragraphs based on your knowledge database.
    Downloads: 0 This Week
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  • 4
    Paul Graham GPT

    Paul Graham GPT

    RAG on Paul Graham's essays

    ...The repo stores the full text of his essays (chunked), uses embeddings (e.g. via OpenAI embeddings) to allow semantic search over that corpus, and hosts a chat interface that combines retrieval results with LLM-based answering — enabling RAG (retrieval-augmented generation) over a fixed dataset. The app uses a Postgres database (with pgvector) hosted on Supabase for its embedding store, making the backend relatively simple and accessible, and the frontend is again built with Next.js/TypeScript for a modern responsive UI. By pulling together search and chat, it creates a useful tool both for readers who want to revisit or explore Paul Graham’s ideas thematically, and for learners or researchers who want to query specific essays or concepts quickly.
    Downloads: 0 This Week
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