EpicStaff is an open-source production-grade platform for building multi-agent AI systems with maximum flexibility and minimum friction. We bridge the gap between no-code simplicity and developer centric power, offering a unified custom AI agent workflow platform.

Create intelligent agents that operate with high performance, retain memory across complex tasks and reason based on injected knowledge. Our asynchronous, low-latency AI orchestration engine built on Django ensures your AI workflows are both fast and scalable.

This guide will help you launch EpicStaff on your system. You need to additionally install Git and Docker dependencies.

Install dependencies

• Git
• Docker Desktop

git clone -b main https://github.com/EpicStaff/EpicStaff.git && cd EpicStaff

savefiles="$HOME/savefiles"

MacOS:

sed -i '' "s|CREW_SAVEFILES_PATH=/c/savefiles|CREW_SAVEFILES_PATH=$savefiles|" src/.env

Linux:

sed -i "s|CREW_SAVEFILES_PATH=/c/savefiles|CREW_SAVEFILES_PATH=$savefiles|" src/.env

Assuming Docker is already installed and running use next command

docker volume create sandbox_venvs && docker volume create sandbox_executions && docker volume create crew_pgdata && docker volume create crew_config &&  docker volume create media_data && docker network create mcp-network &&
cd src && docker-compose up --build

If build was already completed, project can be started by running following command

docker-compose up

git clone -b main https://github.com/EpicStaff/EpicStaff.git; cd EpicStaff

$savefiles = "$HOME/savefiles"

$file = "src/.env"
(Get-Content $file) -replace "CREW_SAVEFILES_PATH=/c/savefiles", "CREW_SAVEFILES_PATH=$savefiles" |
    Set-Content $file

Assuming Docker is already installed and running use next command

docker volume create sandbox_venvs; docker volume create sandbox_executions; docker volume create crew_pgdata; docker volume create crew_config;  docker volume create media_data; docker network create mcp-network; 
cd src; docker-compose up --build

If build was already completed, project can be started by running following command

docker-compose up

EpicStaff can be configured and launched using alternative setup methods:

• Partly Local Setup — run specific services locally while other services remain in Docker. Useful for controlled local development and testing.
• Podman Support — provides instructions for deploying EpicStaff using Podman instead of Docker.

These methods are optional and intended for users requiring advanced control over their environment.

We built EpicStaff to serve everyone involved in building AI-powered solutions, from business analysts to senior developers.

Create powerful, multitasking AI agents through our intuitive visual AI workflow builder. Use a node-based graphic interface to connect pre-built blocks for text analysis, response generation, file management, CRM integration and more. Go from idea to a functional AI agent without writing a single line of code.

Get full control with a modular transparent open-source Django backend. Dive deep into our event-driven architecture to customize orchestration logic define fine-grained task control and integrate custom Python tools seamlessly. No black boxes, no magic just a clean extensible RESTful agent orchestration framework that respects your need for control.

Whether you're experimenting, prototyping or deploying to production EpicStaff adapts to you:

• Use the drag-and-drop visual interface when speed is key.
• Dive into the Python backend when custom logic is required.
• Combine both approaches seamlessly in a single project.

We hide the complexity, not the logic.

• AI Developers seeking a flexible Django agent framework without rigid templates.
• Business Teams who need to quickly build custom AI workflows for automation.
• No-code/Low-code users who prefer a visual interface over YAML or complex scripts.
• R&D Teams & Startups prototyping and deploying scalable agentic systems.

Here’s a quick look at how EpicStaff compares to other popular tools in the AI and automation space. Our unique hybrid approach is designed for cross-functional teams.

Mission: To empower teams to build intelligent AI agents: quickly, collaboratively and without unnecessary complexity.

• Clarity over complexity: We hide the overhead, not the logic.
• Collaboration by design: Visual-first for non-technical users, full code flexibility for developers.
• Developer Respect: No black boxes. Just a clean, extensible architecture that gives engineers the control they need.
• Open by Default: Fully open-source, modular and community-driven.

Join us on the journey to shape the future of intelligent, collaborative systems!

EpicStaff is an open-source project driven by its community. Whether you're a developer, a no-code enthusiast, or a business professional, your feedback and contributions are what make this project grow.

• ⭐ Star the Repository: The easiest way to show your support and stay updated.
• 💬 Connect on Reddit: For real-time chat with the community and the core team, join our Reddit Community.
• 🤝 Contribute: Found a bug or want to add a new tool? Check out our CONTRIBUTING.md to get started. We welcome all contributors!

Let's build the future of intelligent, collaborative systems together!

Our platform leverages the innovative work of the open-source community. A special thank you goes out to Foblex for their collaboration and fantastic contributions.

• We proudly use the f-flow library which is a core part of our architecture.
• Foblex helps us spread the word by featuring EpicStaff in his articles and educational materials. You can check out his work at flow.foblex.com.

We believe in the power of collaboration and are grateful for such a great partnership.