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- TESIGN / RADAR
- REPOSITORY CARD
- langgenius/dify
langgenius/dify
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.
RANKS All-time #10 · AI #9
AT A GLANCE
- LANGUAGE
- TypeScript
- LICENSE
- Licence unconfirmed
- USAGE
- Unconfirmed — check before use.
- ACTIVITY
- last commit 3 days ago ()
- TOPICS
- agent
- agentic-ai
- agentic-framework
- agentic-workflow
- ai
- automation
- claude
- deepseek
- genai
- gpt
- llm
- low-code
- HOMEPAGE
- https://dify.ai
- REPOSITORY
- GitHub ↗
- CATEGORY
- AI
A summary, not legal advice.
README EXCERPT
Dify Cloud · Self-hosting · Documentation · Dify edition overview Dify is an open-source LLM app development platform. Its intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features (including Opik, Langfuse, and Arize Phoenix) and more, letting you quickly go from prototype to production. Here's a list of the core features: Quick start Before installing Dify, make sure your machine meets the following minimum system requirements: - CPU = 2 Core - RAM = 4 GiB The easiest way to start the Dify server is through Docker Compose. Before running Dify with the following commands, make sure that Docker and Docker Compose v2.24.0 or later are installed on your machine: After running, you can access the Dify dashboard in your browser at http://localhost/install and start the initialization process. Seeking help Please refer to our FAQ if you encounter problems setting up Dify. Reach out to the community and us if you are still having issues. If you'd like to contribute to Dify or do additional development, refer to our guide to deploying from source code Key features 1. Workflow : Build and test powerful AI workflows on a visual canv…
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TIMELINE
- Repository created
- FIRST SEEN BY TESIGN ◌ BACK CATALOG
- Last push
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