Agent Flux

Agent Flux is an open-source platform built to orchestrate autonomous workflows using AI agents you run privately on your own infrastructure. With Agent Flux, users can describe a task in natural language, and an AI agent will plan, configure, and execute a tailored workflow, integrating files, APIs, software programs, and databases according to the user's requirements. All processing happens within your environment via Docker, ensuring control and security.

The platform features a visual workflow editor where users can drag, connect, and configure workflow building blocks—including data ingestion, transformation, branching, masking, model calls, and custom logic steps. Agent Flux supports a wide variety of data types and connections such as local files and folders, HTTP APIs, and even external programs. It can work with both cloud-based and local LLMs, and supports formats like PDF, DOCX, CSV, JSON, Markdown, and more. Workflows can be triggered manually or on a schedule, and the system learns from each run, allowing for iterative improvements.

Agent Flux is ideal for those who need agentic AI-based automation but require the flexibility, extensibility, and privacy of a self-hosted solution. Its modular design and open-source licensing (Apache 2.0) encourage customization and integration with existing data, tools, and workflows.

Agent Flux is intended for developers, IT professionals, and technical teams in organizations that want to automate complex workflows using AI agents while keeping full control over data and infrastructure.

It is suited for companies with privacy or compliance requirements that need to process sensitive documents, integrate various data sources, APIs, and custom programs. Typical use cases include automating document analysis, scheduled data processing, and linking proprietary tools without relying on external cloud services.