JoyAgent-JDGenie Open Source Documentation

The industry’s first open-source, highly complete, lightweight, general-purpose multi-agent product (JoyAgent-JDGenie)

Address the last-mile challenge in rapidly developing multi-agent products.

Introduction

Most existing open-source agent projects are primarily SDKs or frameworks, requiring users to perform additional development and lacking true out-of-the-box usability. In contrast, our open-source JoyAgent-JDGenie is an end-to-end multi-agent product that can directly answer or resolve user queries or tasks. For example, when a user submits a query like“Provide an analysis of recent trends between the US dollar and gold,”JoyAgent-JDGenie can instantly generate a report in web or PPT format.

• Generality and Customization

• JoyAgent-JDGenie is a versatile multi-agent framework. To customize functionality for new scenarios, users only need to integrate relevant sub-agents or tools into JoyAgent-Genie. To demonstrate its generality, JoyAgent-JDGenie achieved 75.15% accuracy on the GAIA benchmark Validation set and 65.12% on the Test set, outperforming industry-leading products such as OWL (CAMEL), Smolagent (Hugging Face), LRC-Huawei (Huawei), xManus (OpenManus), and AutoAgent (University of Hong Kong).

• Lightweight and Independence

• Unlike Alibaba’s SpringAI-Alibaba (which relies on the Alibaba Cloud Bailian platform for LLM capabilities) or Coze (dependent on the Volcano Engine platform), our open-source multi-agent product JoyAgent-JDGenie is lightweight and platform-agnostic.

• Comprehensive Open-Source Offering

• We have fully open-sourced JoyAgent-JDGenie, including its:
  • Frontend and backend
  • Framework and engine
  • Core sub-agents (e.g., Report Generator Agent, Code Agent, PPT Agent, File Agent)
  • For enhanced performance, we welcome users to leverage JoyAgent with fine-tuned models.

Case Studies

Product Comparison

Framework Performance Superiority

Test set performance 65.12%

Validation set performance 75.15%

System Architecture

This open-source project is based on JoyAgent-JDGenie, publicly releasing the complete product interface, multiple core agent modes (React mode, Plan and Execute mode, etc.), multiple sub-agents (Report Agent, Search Agent, etc.), and multi-agent interaction protocols.

Key Features and Advantages

• End-to-End Multi-Agent Product: Ready out-of-the-box with support for secondary development
• Agent Framework Protocols
• Support for Diverse Agent Design Patterns
• Multi-Agent Context Management
• High-Concurrency DAG Execution Engine: Exceptional execution efficiency
• Sub-Agents and Tools
• Pluggable sub-agents and tools: Pre-configured with various sub-agents and utilities
• Multiple file export formats: HTML, PPT, Markdown
• Plan & Tool Call Optimization: Iteratively enhanced via Reinforcement Learning (RL)
• End-to-End Streaming Responses

Key Innovations

multi-level and multi-pattern thinking

• multi-level：work level VS task level
• multi-pattern：plan and executor VS react

cross task workflow memory

tool evolution via auto-disassembly-and-reassembly of atom-to