Data-Juicer Agents: Towards Agentic Data Processing¶
A Suite of Agents for Agentic Data Processing. Built on Data-Juicer (DJ) and AgentScope.
简体中文 | English
🏗️ Overview Doc • ⚡️ Quick Start Doc • >_ CLI Doc • 🔧 Tools Doc • 🎯 Roadmap
News¶
🚀 [2026-03-11] Major refactor and upgrade of
data_juicer_agentscompleted.The project architecture and CLI/session capabilities were comprehensively redesigned for better maintainability and extensibility.
🏗️ Overview | ⚡️ Quick Start | >_ CLI Doc | 🔧 Tools | 🎯 Roadmap
Try processing data by chatting with the agent!
🚀[2026-01-15] Q&A Copilot has been deployed on the official Doc Site | DingTalk | Discord of Data-Juicer. Feel free to ask Juicer anything related to the Data-Juicer ecosystem!
📃 Deploy-ready codes | 🎬 More demos | 🎯 Roadmap.
Roadmap¶
The long-term vision of DJ-Agents is to enable a development-free data processing lifecycle, allowing developers to focus on what to do rather than how to do it.
To achieve this vision, we are tackling two fundamental challenges:
Agents: How to design and build powerful agents specialized in data processing
Services & Tools: How to package these agents into ready-to-use, out-of-the-box products
We continuously iterate on both directions, and the roadmap may evolve accordingly as our understanding and capabilities improve.
Agents¶
Data-Juicer Data Processing Agent (DJ Process Agent) & Data-Juicer Code Development Agent (DJ Dev Agent)We have stopped building scenario-specific data processing agents, and instead are building data processing
toolsfor general-purpose agents. From there:Hard-orchestrate these tools into
capabilities, exposed as thedjxCLISoft-orchestrate them through prompts, packaged as
skillsRely on agent self-orchestration to support conversational data processing
Services & Tools¶
Q&A Copilot: a Q&A assistant for the Data-Juicer ecosystem
[2026-01-15]: already deployed on the official Doc Site of Data-Juicer | DingTalk | Discord
InteRecipe: interactive data recipe construction through natural language
[2026-03-11]: the current
./interactive_recipeonly shows workflow-based examples. Thedj-agentsCLI entry is already built and supports interactive data-recipe construction through natural language in the TUI. We are developing a frontend tool (studio) on top of this foundation as the next upgrade.
Priority Items¶
DJ Skills: use prompt-based soft orchestration to package
toolsintoskillsfor general-purpose agents.InteRecipe Studio: support interactive data recipe construction through natural language, with multi-dimensional data and result views.
Plan Tool: extend support for fuller Data-Juicer capability coverage, DJ Hub recipe matching, and more.
Dev Tool: stabilization testing and optimization
Long-term Directions¶
Continue building tools and skills for broader data-processing scenarios, enabling wider and more flexible applications.
RAG
Embodied Intelligence
Data Lakehouse architectures
Common Issues¶
Q: How to get DashScope API key? A: Visit DashScope official website to register an account and apply for an API key.
- DOCS
- Architecture
- Quick Start
- DJX CLI Reference
- Tools Architecture
- Data-Juicer Q&A Copilot Demo
- 🧩 Prerequisites
- 🚀 Basic Installation
- 🎯 Scenario-Based Installation
- 📦 Common Installation Patterns
- 🛠️ Install from Source
- ⚙️ OP-Based / Recipe-Based Installation
- 🐳 Docker Installation
- 📌 Notes & Troubleshooting
- ✅ 1. Start with Minimal Examples
- ✅ 2. Leverage Pre-Built Recipes from DJ-Hub
- ✅ 3. Install Only What You Need
- ✅ 4. Choose the Right Operators
- ✅ 5. Use 3-σ Rule for Hyperparameter Tuning
- ✅ 6. Validate with Benchmarks
- ✅ 7. Automate Dependency Installation
- ✅ 8. Use Docker for Reproducibility
- ✅ 9. Contribute Back to the Community
- ✅ 10. Monitor Retention Rates & Quality Metrics
- Data-Juicer Q&A Copilot
- 🔧 InteRecipe: Interactive Recipe Generation Workflow