YakaAI
dify Agent Skills & AI Rules
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...
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Python
78 files · ~122,240 tokens
#agent#agentic-ai#agentic-framework#agentic-workflow#ai#automation#claude#deepseek
4 Discovered Rules
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~1,103 Estimated Tokens
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AI Agent Protocol & Instructions
AGENTS.md root-instruction ~203 tokens# AGENTS.md
Dify is an open-source platform for building LLM applications, agentic workflows, and RAG pipelines. This monorepo contains the backend API (`api/`), frontend application (`web/`), deployment assets (`docker/`), standalone agent backend (`dify-agent/`), CLI (`cli/`), and end-to-end suite (`e2e/`). Follow the nearest scoped `AGENTS.md` for the files being changed. Apply its guidance within the user's requested scope; explicit user instructions take precedence over workflow defaults.
## Repository Gotchas
- Run backend commands through `uv run --project api <command>`.
- Backend integration tests are CI-only and are not expected to run locally.
- Keep `docker/.env.example` limited to variables required for a default Docker Compose deployment to start. Put optional and provider-specific settings in the matching `docker/envs/*.env.example` file; `docker/.env` overrides those service-specific env files.