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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 тыс. звёздCustom (check repo)
Смотреть руководство →Dify — проект с открытым исходным кодом из категории «RAG и базы знаний» от langgenius (langgenius/dify на GitHub). У него 157 773 звезды на GitHub и 24 895 форков, он распространяется по лицензии Custom (check repo) и последний раз обновлялся на GitHub 3 октября 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
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI…
All-in-one AI framework for semantic search, LLM orchestration and language model workflows.
MinerU — turns PDFs and Office documents into LLM-ready Markdown and JSON for agents and RAG pipelines, Apache-2.0 plus terms
Ready-to-run templates for RAG, AI pipelines and enterprise search that stay in sync with live data
Другие проекты из категории «RAG и базы знаний» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если Dify вам не подходит.
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context…
Lightweight OCR toolkit turning PDFs and images into structured, LLM-ready data in 100+ languages
MinerU — turns PDFs and Office documents into LLM-ready Markdown and JSON for agents and RAG pipelines, Apache-2.0 plus terms
Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience
Ready-to-run templates for RAG, AI pipelines and enterprise search that stay in sync with live data
Соседние проекты из категории «RAG и базы знаний» в каталоге, ближайшие по числу звёзд к Dify — продолжайте изучать полку по обе стороны от него.
Private document chat for attorneys: local LLMs, verifiable citations.
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context…
Chat with PDFs and see exactly where each answer was found.
Lightweight OCR toolkit turning PDFs and images into structured, LLM-ready data in 100+ languages
Free rag & knowledge tool that enterprise-ready vector database toolkit for building s.
MinerU — turns PDFs and Office documents into LLM-ready Markdown and JSON for agents and RAG pipelines, Apache-2.0 plus terms
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.