Showing 2 open source projects for "sql command line"

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  • Host LLMs in Production With On-Demand GPUs Icon
    Host LLMs in Production With On-Demand GPUs

    NVIDIA L4 GPUs. 5-second cold starts. Scale to zero when idle.

    Deploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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    OpenAGI

    OpenAGI

    When LLM Meets Domain Experts

    ...Agents are organized in a well-defined folder structure that includes code (agent.py), configuration (config.json), and extra requirements (meta_requirements.txt), which makes them easy to package, share, and reuse. The project includes tooling for registering agents with AIOS by uploading them via a command-line interface, enforcing a consistent naming scheme that matches the local folder layout. A companion tooling layer lets agents call external tools described in the tools.md documentation, enabling them to orchestrate APIs, retrieval pipelines, and other utilities in response to LLM decisions.
    Downloads: 0 This Week
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    BindAI

    BindAI

    Open-source Python framework for AI agents and agentic workflows.

    BindAI is an open-source, opinionated Python framework for building, composing, and running AI agents and agentic workflows. It provides a structured application architecture for tools, memory, knowledge and RAG, model providers, integrations, APIs, and project-based organization. BindAI is designed for Python developers building AI applications, agent systems, and multi-step workflows.
    Downloads: 0 This Week
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