Showing 5 open source projects for "exploration"

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    $300 Free Credits to Build on Google Cloud

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  • 1
    Potpie

    Potpie

    Create custom engineering agents for your codebase

    Potpie is an AI-powered data analysis tool that automates the exploration and visualization of datasets, assisting users in uncovering insights without extensive coding.
    Downloads: 0 This Week
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  • 2
    BambooAI

    BambooAI

    A Python library powered by Language Models (LLMs)

    BambooAI is a Python library powered by large language models (LLMs) for conversational data discovery and analysis, allowing users to interact with data through natural language.
    Downloads: 0 This Week
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  • 3
    Inspect Petri

    Inspect Petri

    An alignment auditing agent capable of exploring alignment hypothesis

    ...The system supports major model APIs and comes with starter seeds and judge dimensions, enabling minutes-to-insight workflows for questions like reward hacking, self-preservation, or eval awareness. Petri is designed for parallel exploration: it spins many audits in flight, aggregates findings, and highlights transcripts that deserve human review.
    Downloads: 3 This Week
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  • 4
    OpenAgents

    OpenAgents

    AI Agent Networks for Open Collaboration

    OpenAgents is an ambitious open-source framework for building AI Agent Networks where multiple autonomous AI agents can discover, connect, and collaborate on shared tasks within an extensible, protocol-agnostic ecosystem. The project’s goal is to provide foundational networking infrastructure that lets diverse agents—built using different large language models or tools—interoperate and work together toward complex goals. Agents on OpenAgents can exchange information, share capabilities,...
    Downloads: 0 This Week
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    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

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  • 5
    GELab-Zero

    GELab-Zero

    GUI Exploration Lab. One of the best GUI agent solutions

    GELab-Zero is an open-source “GUI Agent” framework aiming to automate interactions with graphical user interfaces (GUIs), combining both the agent model and all supporting infrastructure — including inference, input orchestration, and GUI automation logic — in a plug-and-play package that runs locally, without cloud dependencies. The idea is to let developers or users harness an AI agent that can simulate clicking, typing, reading UI elements, and interacting with apps in a human-like way...
    Downloads: 0 This Week
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