AutoGen GraphFlow

AutoGen is an open-source framework from Microsoft for building and orchestrating agent-based workflows that use large language models. It provides components for defining agents, managing conversations and interactions, and integrating models and external tools.

An agent-orchestration framework for Python that models complex, multilayered AI workflows as directed agent graphs. It manages context and tool calls, provides state checkpoints and persistence, and supports human-in-the-loop approval gates for production deployments. The framework is reported to allow existing agents to be exported/imported into IBM watsonx Orchestrate.

LangFlow is an open-source, low-code visual builder for creating and running language-model pipelines, agent workflows, and retrieval-augmented generation (RAG) applications. The project is developed and maintained by the open-source community led by the GitHub user logaretm and integrates with language-model providers and tools such as LangChain.

Google Flow is a visual-creation platform for generating and upscaling character sheets, creating reference-based images, and producing image-to-video clips. Its workflow uses a character reference sheet that can be reused across image and video generations to maintain a character's facial identity, including across scenes with multiple characters, different outfits or lighting, scars, tattoos, and age changes.

AutoGPT is an open-source platform for building, deploying, and running AI agents that carry out complete workflows. Users can describe an outcome in plain English, or use its visual builder to drag, connect, branch, and inspect workflow blocks. Agents can run on demand, on schedules, or from event triggers, and the marketplace provides ready-made agents that can be added and customized. The hosted platform is a paid, usage-based service that manages infrastructure, model access, credentials, and updates; the self-hosted path is free of license fees but requires users to provide infrastructure and model API keys and maintain the deployment.