Automatisation
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Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+…
★ 206,6 k étoilesCustom (check repo)
Voir le guide →Dify est un projet de RAG et connaissances open source, créé par langgenius (langgenius/dify sur GitHub). Il compte 157 773 étoiles sur GitHub et 24 895 forks, il est publié sous la licence Custom (check repo) et a été mis à jour pour la dernière fois sur GitHub le 3 octobre 2026.
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or…
Link the services you already use — chat, email, sheets, CRMs, databases — through built-in integrations or generic webhooks and API calls.
Drag triggers and actions onto a canvas: when this happens, do that. Branch on conditions, loop over items, and transform data between steps.
Pipe steps through language models for classification, extraction, summarising, or drafting — most platforms here treat AI as just another node.
Turn the workflow on, watch executions in the run history, and get alerted when something fails.
Design automations on a canvas instead of writing glue code for every integration.
Prebuilt connectors for popular apps plus HTTP, webhooks, and database nodes for everything else.
Your credentials and execution data stay on your infrastructure — no third-party middleman.
Call LLMs mid-workflow for decisions, extraction, and content generation.
Cron schedules, webhooks, and event triggers keep flows running around the clock.
Open-source means the automation itself is free; you only pay for your own server.
Download the source and move into the project folder.
git clone https://github.com/langgenius/dify.git
cd difyUse the package manager the project specifies (check for pnpm or yarn lockfiles).
npm installLaunch the dev server or build, per the README.
npm run devAlso on this shelf: ai-dev-tools-zoomcamp — free hands-on course on using AI dev tools without losing engineering discipline. The Automation shelf also holds rpaframework — open-source RPA libraries for automating browsers, documents, and desktops. Readers working through the Automation shelf also stop at x-tweet-fetcher, Fetch X tweets, replies, and timelines with no login or API keys required.
The core software is open-source and free to self-host. Managed cloud versions exist for most of these if you would rather not run a server.
Most flows are built visually. Light expressions or code nodes help for advanced logic, but simple automations need none.
It is an open-source project at langgenius/dify with 24,895 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Same idea — triggers and actions across apps — but self-hosted, with AI steps first-class and no per-task pricing.
Typically Docker and a small VPS or home server; several offer one-command installs.
Yes — LLM nodes are standard, working with hosted APIs or your own local models.
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+…
The open source Zapier alternative. Build workflow automation without spending time and money
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All-in-one AI framework for semantic search, LLM orchestration and language model workflows.
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Ready-to-run templates for RAG, AI pipelines and enterprise search that stay in sync with live data
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Projets de la catégorie RAG et connaissances proches dans le catalogue, les plus proches en étoiles de Dify — continuez à explorer de part et d'autre.
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Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.