An automation platform with a visual editor: connect services with blocks and add your own code or AI agents where needed. 400+ integrations, self-hostable.
Automationlanggenius
dify
A workspace for building AI apps: agentic workflows, RAG pipelines and a choice of models and tools in one interface. Deploy in the cloud or self-host.
Who it is for
Teams that want to ship AI products without building the infrastructure from scratch.
How to start
- Clone the repository and enter the
difyfolder. - Go to
cd docker. - Run
docker compose up -dand open the web UI.
Steps are taken from the README. Check the current version in the repository before running them.
Stars over the last 30 days
Author's description
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
More in «Automation»
A visual builder for AI agents and workflows in Python: drag components, test the chain in chat and publish it as an API.
A platform where you assemble a team of AI agents, schedule them and get reports. Works with many models; deploy on Vercel or with Docker.
A large collection of ready-made n8n workflows with a searchable web UI. Find a similar automation and use it as a starting point.
A long-running builder of "agents" that watch the web and events and act on your behalf: send emails, collect data, trigger chains. Runs on your own server.
A collaborative workspace to build, deploy and monitor AI agents and workflows: chat on the left, visual builder on the right. Cloud, self-hosted and a macOS app.
