Showing 3 open source projects for "java workflow"

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  • Ship Agents Faster Icon
    Ship Agents Faster

    Transform your applications and workflows into powerful agentic systems at global scale.

    Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

    BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

    Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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    JAI Workflow

    JAI Workflow

    Build programmatically custom agentic workflows, AI Agents, RAG system

    JAI-Workflow is a framework for building and managing machine learning workflows, streamlining the process from data ingestion to model deployment.
    Downloads: 1 This Week
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    AgentScope Java

    AgentScope Java

    Agent-Oriented Programming for Building LLM Applications

    AgentScope Java is an agent-oriented programming framework that enables Java developers to build intelligent, LLM-powered applications using a dynamic reasoning-acting (ReAct) paradigm. It provides a comprehensive toolkit for creating autonomous agents that can plan, execute, and adjust complex workflows, making decisions about which tools to invoke and how to solve multi-step problems. The framework includes runtime controls such as safe interruption and graceful cancellation to manage...
    Downloads: 14 This Week
    Last Update:
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  • 3
    Coze Studio

    Coze Studio

    An AI agent development platform with all-in-one visual tools

    Coze Studio is ByteDance’s open‑source, visual AI agent development platform. It offers no-code/low-code workflows to build, debug, and deploy conversational agents, integrating prompting, RAG-based knowledge bases, plugin systems, and workflow orchestration. Developed in Go (backend) and React/TypeScript (frontend), it uses a containerized microservices architecture suitable for enterprise deployment.
    Downloads: 6 This Week
    Last Update:
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