AgentFlux

AgentFlux is an open-source AI agent platform that plans workflows from descriptions and connects data.

AgentFlux is an open-source agentic AI platform that plans and executes workflows based on your text descriptions. You describe a task, and an agent builds a workflow using files, interfaces, and your choice of AI models. It runs locally in Docker and is licensed under the Apache License 2.0. The platform includes a visual editor with preconfigured blocks, templates, and a local knowledge base. It supports inputs such as PDFs, DOCX, XLSX, CSV, JSON, and HTTP interfaces, and works with Ollama and OpenAI-compatible models.

AgentFlux at a glance

Best for: Software engineer
Runs on: Web, self-hosted, open source
Pricing: Free
Released: October 2026
Category: AI agent tool
Website: agentflux.cloud

Key features

Plans workflows from text descriptions
Visual workflow editor with drag-and-drop blocks
Connects to files, folders, and HTTP APIs
Builds workflows from screen recordings
Saves results to SQLite and local knowledge store
Masks sensitive data like emails and IBANs
Schedules workflows to run automatically

Use it for

Find delivery problems in support notes and sort by cause
Extract data from uploaded documents and spreadsheets
Rebuild workflows from screen recordings
Automate routine data processing tasks

Alternatives to AgentFlux

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Agent Zero — It provides a transparent, controllable environment for autonomous AI agents.
OpenFlow — Build and run multi-agent AI pipelines on a visual canvas using real parallel agents.
AI-Flow — Combine multiple AI models in one workflow and share them as simple apps.
Cloudflare Agents — Runs agents on a global network with durable storage and real-time connections.
Flowise — Modular building blocks and visual tools to build and scale agentic systems fast.
BrowserOS — Runs entirely locally and lets AI agents use real user logins to complete tasks.

All AgentFlux alternatives