Showing 4 open source projects for "network architecture"

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    Cloudflare Agents

    Cloudflare Agents

    Build and deploy AI Agents on Cloudflare

    ...Its architecture emphasizes persistent memory, enabling agents to maintain context across sessions and interactions. Developers can orchestrate complex behaviors using workflows and durable objects, making it suitable for production-grade autonomous systems. Overall, Cloudflare Agents aims to streamline the development of scalable AI automation that operates close to users for improved performance.
    Downloads: 8 This Week
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  • 2
    Agents-Flex

    Agents-Flex

    Agents-Flex is an elegant LLM Application Framework like LangChain

    Agents-Flex includes a variety of network protocols for connecting LLMs, such as HTTP, SSE and WS. Its simple and flexible design allows developers to easily connect to various LLMs, including OpenAI, LLama, and other AI. Agents-Flex provides a rich set of development templates and Prompt Frameworks, including FEW-SHOT, CRISPE, BROKE, and ICIO. Developers can also customize their own unique prompt templates. Agents-Flex has a very flexible Function Calling component. It supports local method...
    Downloads: 1 This Week
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  • 3
    Joget

    Joget

    AI Powered Open Source Platform to Easily Build Enterprise Web Apps

    Joget offers an open-source, AI-powered platform that converges no-code/low-code development with AI to rapidly build and customize enterprise applications at scale. By combining AI with visual app builders—not raw code—Joget makes app generation faster, safer, and more accessible for everyone. With Generative AI and Agentic AI capabilities, Joget Intelligence enables organizations to automate and enhance processes while maintaining oversight and compliance. Unlike typical AI code...
    Downloads: 16 This Week
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  • 4
    Universe Starter Agent

    Universe Starter Agent

    A starter agent that can solve a number of universe environments

    The universe-starter-agent repository is an archived OpenAI codebase designed as a starter reinforcement-learning agent that can interact with and solve tasks in OpenAI’s Universe environment platform. Its purpose is to serve as a baseline or reference implementation so researchers or developers can see how to build agents that operate in real-time, visual environments (e.g., games, browser apps) via pixel observations and keyboard/mouse actions. Under the hood, this starter agent implements...
    Downloads: 0 This Week
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