Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Turns Data and AI algorithms into production-ready web applications in no time.
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
🏛️ 三省六部制 · OpenClaw Multi-Agent Orchestration System — 9 specialized AI agents with real-time dashboard, model config, and full audit trails
An orchestration platform for the development, production, and observation of data assets.
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level System Management, Observability and more.
Zero-modification Human-in-the-Loop adapter for OpenOPC's agentic DAG runtime.
Coordinate Claude, Codex and Cursor windows with shared tasks, acknowledgements, prechecks, parallel tests, source-bound proofs and independent review. Built-in skills recall lessons, simplify code and forecast work. Track progress, decisions and evidence in a bilingual local dashboard, with MCP plugins. Browse skills and verified security audits.
ESB, SOA, REST, APIs and Cloud Integrations in Python
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
不是问答机器人，而是能真正干活的数字分身。共享智能体，共享项目上下文，让项目所有成员一起协同工作。同时智能体会像人一样通过资料或者工作抽象和总结经验到项目上下文中
Catch your AI agents when they lie about what they shipped — verifies claims against git instead of believing the agent.
🎲 Dotflow turns an idea into flow! — Lightweight Python library for execution pipelines