Showing 3 open source projects for "website using python"

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    Go from Data Warehouse to Data and AI platform with BigQuery

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    Ship AI Apps Faster with Vertex AI

    Go from idea to deployed AI app without managing infrastructure. Vertex AI offers one platform for the entire AI development lifecycle.

    Ship AI apps and features faster with Vertex AI—your end-to-end AI platform. Access Gemini 3 and 200+ foundation models, fine-tune for your needs, and deploy with enterprise-grade MLOps. Build chatbots, agents, or custom models. New customers get $300 in free credit.
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  • 1
    npcpy

    npcpy

    The AI toolkit for the AI developer

    ...The structure of npcpy also allows one to pass an npc to get_llm_response in addition to using the NPC's wrapped method, allowing you to be flexible in your implementation and testing.
    Downloads: 9 This Week
    Last Update:
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  • 2
    Nerve

    Nerve

    The Simple Agent Development Kit

    Nerve is a developer-friendly Agent Development Kit (ADK) that utilizes YAML and a CLI to define, run, orchestrate, and evaluate LLM-driven agents. It supports declarative setups, tool integration, workflow pipelines, and both MCP client and server roles. Nerve is a simple yet powerful Agent Development Kit (ADK) to build, run, evaluate, and orchestrate LLM-based agents using just YAML and a CLI. It’s designed for technical users who want programmable, auditable, and reproducible automation...
    Downloads: 0 This Week
    Last Update:
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  • 3
    mcp-use

    mcp-use

    A solution to build and deploy MCP agents and applications

    ...It enables connection to multiple MCP servers, each exposing specific tool capabilities like browsing, file operations, or specialized integrations, through a unified MCPClient. Developers can create custom agents (via MCPAgent) that dynamically select the most appropriate server for each task using configurable pipelines or a built-in server manager. It simplifies authentication, access control, audit logging, observability, sandboxed runtime environments, and deployment workflows, whether self-hosted or managed, making MCP development production-ready. With integrations for popular frameworks like LangChain (Python) and LangChain.js (TypeScript), mcp-use accelerates the creation of tool-enabled AI agents.
    Downloads: 0 This Week
    Last Update:
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