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Deploy visual AI workflows locally using AgentFlux and Docker

AgentFlux is an AI platform for visual workflows and autonomous agents, supporting Docker deployment on local machines or servers. It connects documents, data sources, and language models, enabling automated workflow generation from videos with results saved locally.

GitHubdavemessew235GitHub stars
DockerDocker ComposeAgentFluxOllamaLM StudiovLLM

Added 2026-10-31 · originally published 2026-10-30

Steps

  1. 1Download agentflux-0.3.0-linux-amd64.tar.gz and compose.yaml from release v0.3.0 into the same folder.
  2. 2Run docker load -i agentflux-0.3.0-linux-amd64.tar.gz in your terminal to load the image.
  3. 3Run docker compose up -d --wait to start the service.
  4. 4Open localhost:4310 in your browser to access the platform interface.
  5. 5Go to Agents → Create agent, select Clean and export records without a model, or connect a local model server (such as Ollama or LM Studio) to build your first workflow.
Copy-ready prompt
Based on the following task description, design the steps for a visual AI workflow: [Enter your task description here, for example: clean and export records from the local inbox, then extract key information to generate a report], and specify which data sources and model steps are required.
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#AgentFlux#Docker#AI Workflow#Local Deployment

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Last updated 2026-11-02 12:11 (Beijing time)