Tags: #orchestration

DeerFlow is an open-source SuperAgent harness designed to research, code, and create by orchestrating sub-agents, memory, and sandboxes with extensible skills for long-horizon tasks.

A lean, lightning-fast Python framework for orchestrating autonomous, collaborative AI agents to tackle complex tasks efficiently.

A Golang framework for building sophisticated LLM and AI applications, inspired by LangChain and Google ADK.

An open-source AI orchestration framework for building production-ready LLM applications with modular pipelines and agent workflows.

A lightweight, powerful, and provider-agnostic Python framework for building complex multi-agent workflows with various LLMs.

An AI multi-agent orchestration system inspired by ancient Chinese imperial governance, featuring institutional review, real-time dashboards, and full audit trails for reliable and observable AI collaboration.

iii unifies diverse backend services like APIs, task queues, and schedulers into a single engine using Function, Trigger, and Worker primitives for simplified distributed system development.

A specialized code editor designed to orchestrate and manage multiple AI coding agents simultaneously across isolated git worktrees, enhancing developer productivity.

A low-level orchestration framework for building, managing, and deploying resilient, stateful AI agents using a graph-based approach.

An enterprise-grade, production-ready framework for orchestrating complex multi-agent systems, designed for scalable deployments and seamless integration.

A low-code MCP framework for building complex and innovative RAG pipelines, standardizing components and enabling precise orchestration.

A unified system to run, manage, and scale AI workloads across any infrastructure, including Kubernetes, Slurm, and over 20 cloud providers.

An open-source, container-native workflow engine for Kubernetes, designed to orchestrate parallel jobs and complex multi-step tasks.

A comprehensive MLOps platform for managing, orchestrating, and scaling the machine learning lifecycle with reproducibility and automation.

A cloud-native data pipeline orchestrator designed for the development, production, and observation of data assets, featuring integrated lineage, observability, and a declarative programming model.

ClearML streamlines AI/ML/LLM workflows with integrated experiment tracking, data management, MLOps/LLMOps orchestration, and model serving.

An open-source TypeScript framework that automatically transforms high-level goals into parallelizable task DAGs for multi-agent systems.

Kestra is an open-source, event-driven orchestration platform that simplifies building scheduled and real-time workflows with Infrastructure as Code principles and a declarative YAML interface.

A comprehensive, curated list of various pipeline toolkits, frameworks, and libraries for workflow management and data processing.

GoClaw is a secure, multi-tenant AI agent platform built in Go, designed for deploying and orchestrating AI agent teams at scale with robust security and native concurrency.

A flexible, open-source framework for orchestrating multiple AI agents to manage complex conversations and tasks efficiently.

A comprehensive web dashboard for Hermes Agent, enabling multi-platform AI chat management, usage analytics, scheduled jobs, and channel configuration.

A comprehensive, multi-language framework for building, orchestrating, and deploying AI agents and complex multi-agent workflows.

A TypeScript library designed to orchestrate AI coding agents within isolated sandboxes, streamlining their execution and managing code changes.

An open-source TypeScript framework that automatically transforms high-level goals into parallelizable task DAGs for multi-agent systems.