Showing 2 open source projects for "tiny-workflow"

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    Powerful Website Security | Continuous Web Threat Platform

    Continuously detect, prioritize, and validate web threats to quickly mitigate security, privacy, and compliance risks.

    Reflectiz is a comprehensive web exposure management platform that helps organizations proactively identify, monitor, and mitigate security, privacy, and compliance risks across their online environments. Designed to address the growing complexity of modern websites, Reflectiz provides full visibility and control over first, third, and even fourth-party components, such as scripts, trackers, and open-source libraries that often evade traditional security tools.
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  • EasySend is a no-code platform that transforms customer journeys Icon
    EasySend is a no-code platform that transforms customer journeys

    Defy form limits. 
Create digital experiences.

    Evolve forms into smart, AI-powered digital workflows that streamline your data intake and elevate customer experiences.
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  • 1
    Multi-Agent Orchestrator

    Multi-Agent Orchestrator

    Flexible and powerful framework for managing multiple AI agents

    Multi-Agent Orchestrator is an AI coordination framework that enables multiple intelligent agents to work together to complete complex, multi-step workflows.
    Downloads: 2 This Week
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  • 2
    Atropos

    Atropos

    Language Model Reinforcement Learning Environments frameworks

    ...Designed as a scalable ecosystem of environment microservices, Atropos allows researchers and developers to collect, evaluate, and manage trajectories (sequences of actions and outcomes) generated by LLMs across a variety of tasks—from static dataset benchmarks to dynamic interactive games and real-world scenario environments. It provides foundational tooling for asynchronous RL loops where environment services communicate with trainers and inference engines, enabling complex workflow orchestration in distributed and parallel setups. This framework facilitates experimentation with RLHF (Reinforcement Learning from Human Feedback), RLAIF, or multi-turn training approaches by abstracting environment logic, scoring, and logging into reusable components.
    Downloads: 2 This Week
    Last Update:
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