Showing 4 open source projects for "knowledge base builder"

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    nashsu LLM Wiki

    nashsu LLM Wiki

    LLM Wiki is a cross-platform desktop application

    nashsu LLM Wiki is a project designed to create a structured, navigable knowledge base powered by large language models, enabling users to explore information in a wiki-like format. It likely transforms raw data or documents into interconnected pages that can be dynamically generated and summarized by AI. The system emphasizes discoverability, allowing users to navigate topics through links and relationships rather than static search results.
    Downloads: 10 This Week
    Last Update:
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  • 2
    OpenKnowledge

    OpenKnowledge

    Beautiful, AI-native markdown editor and LLM Wiki

    ...It integrates with tools such as Claude, Codex, Cursor, MCP, and CLI-based agent harnesses so AI agents can work with the same knowledge base. Overall, it is useful for teams and individuals who want private, local, Git-backed documentation that can also serve as a structured second brain for AI systems.
    Downloads: 6 This Week
    Last Update:
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  • 3
    PeterCat

    PeterCat

    A conversational Q&A agent configuration system

    ...The system allows developers to build AI-powered bots that understand project documentation, GitHub issues, and other repository content in order to answer questions from users or contributors. By simply providing the repository name or URL, the platform can automatically collect relevant project information and construct a knowledge base that the agent uses to respond to inquiries. The framework also provides a configuration system that allows developers to customize how the conversational agent behaves and how it integrates with external services. PeterCat can be deployed as a self-hosted solution and offers an application SDK that enables integration with websites, developer portals, and community support platforms.
    Downloads: 0 This Week
    Last Update:
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  • 4
    llmx.txt hub

    llmx.txt hub

    The largest directory for AI-ready documentation and tools

    llms-txt-hub serves as a central directory and knowledge base for the emerging llms.txt convention, a simple, text-based way for project owners to communicate preferences to AI tools. It catalogs implementations across projects and platforms, helping maintain a shared understanding of how LLM-powered services should interact with code and documentation. The repository aims to standardize patterns for allowlists, denylists, attribution, rate expectations, and contact information, mirroring the spirit of robots.txt for the AI era. ...
    Downloads: 0 This Week
    Last Update:
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