Results for "orchestration"

Workflow orchestration framework for building resilient data and ML pipelines. Python-native with modern observability and 200+ integrations. Apache 2.0 licensed.

Open-source platform for experiment tracking, orchestration, data management, and model serving.

Cloud-native orchestration platform for developing and maintaining data assets including ML models. Declarative programming model with integrated lineage and observability. Apache 2.0 licensed.

Alibaba's production-ready multi-agent framework with 23K+ stars. Features built-in MCP and A2A support, message hub for flexible orchestration, and AgentScope Runtime for production deployment.

Netflix's next-generation workflow orchestrator for data and ML pipelines at massive scale. Highly scalable and flexible scheduler designed to handle millions of workflows across thousands of nodes. Apache 2.0 licensed.

Event-driven orchestration and scheduling platform for mission-critical workflows. Infrastructure-as-Code approach with declarative YAML, Git version control integration, and hundreds of plugins for data pipelines and ML workflows. Apache 2.0 licensed.

Production-ready multi-agent framework in Python and TypeScript. Features workflow orchestration, ACP/MCP protocol support, and deep watsonx integration. Part of Linux Foundation AI & Data program.

Open-source AI orchestration platform for quickly building and managing continuous ML and generative AI applications across their lifecycle. Automates data preparation, model tuning, and deployment. Apache 2.0 licensed.

Bleeding-edge enterprise multi-agent orchestration.

Flexible, lightweight open-source framework for orchestrating multiple AI agents to handle complex conversations with parallel execution capabilities. Apache 2.0 licensed.

Machine Learning Pipelines for Kubeflow. Platform for building and deploying portable, scalable ML workflows using Kubernetes and Argo. Apache 2.0 licensed.

MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle. Reproducible and scalable machine learning workflows on Kubernetes with experiment tracking, model management, and pipeline orchestration. Apache 2.0 licensed.

Flexible multi-agent orchestration framework with intelligent intent classification and context management. Supports Python and TypeScript with pre-built agents for Bedrock, Lex, and custom integrations. Apache 2.0 licensed.

End-to-end platform for deploying production ML pipelines. Data validation, transformation, model training, and serving with TensorFlow. Powers Google's production ML infrastructure. Apache 2.0 licensed.

Pipeline and orchestration framework for taking ML and LLM systems from development to production.

TypeScript-first agent framework with built-in RAG, workflows, tool integrations, observability and observational memory.

Local-first, model-agnostic environment for building, borrowing, and orchestrating specialist agents and teams across supported LLM hosts, with owner-scoped packages and host-enforced permissions. Apache 2.0 licensed.

Self-hosted multi-tenant agent harness combining retrieval, knowledge graph grounding, and workflow orchestration for production teams.

Multi-agent orchestration and meta-harness for coordinating agent swarms with shared memory, licensed under the MIT license.

Event-driven agentic orchestration platform providing durable and resilient execution engine for applications and AI agents. Battle-tested at Netflix, Tesla, LinkedIn, and J.P. Morgan with 30K+ stars. Apache 2.0 licensed.

Netflix's ML platform for building and managing real-world AI systems. Powers thousands of projects at Netflix, Amazon, and DoorDash. Apache 2.0 licensed.

Kubernetes-native workflow orchestration platform for AI/ML pipelines. Dynamic, resilient orchestration with strong type safety and reproducibility. Used by Lyft, Spotify, and Gojek. Apache 2.0 licensed.

Open-source intelligent model router with CMA-ES evolved routing weights, federated learning for privacy-preserving collaborative routing, and human-interpretable explanations for every decision. OpenAI-compatible API with web dashboard. MIT licensed.

Production-grade multi-agent orchestration framework with 10K+ stars. Apache 2.0 licensed.