Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
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Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.
A lightweight, powerful framework for multi-agent workflows
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.
Automate browser based workflows with AI
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
Modin: Scale your Pandas workflows by changing a single line of code
StackStorm (aka "IFTTT for Ops") is event-driven automation for auto-remediation, incident responses, troubleshooting, deployments, and more for DevOps and SREs. Includes rules engine, workflow, 160 integration packs with 6000+ actions (see https://exchange.stackstorm.org) and ChatOps. Installer at https://docs.stackstorm.com/install/index.html
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
ilastik-shell, applets, and workflows to string them together.
BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.
Watchtower | Self-hosted AI security assessment, asset intelligence, and evidence workflows.
Friendly Environment for Neural Networks (fenn) is a simple Python framework for building ML/DL workflows and LLM agents faster, with prebuilt trainers, agent templates, logging, configuration management, and much more.
A Python package for automating VideoIPath configuration workflows.