Odyssey is an open-source multi-agent framework developed by ZJU-VIPA, enabling the orchestration of multiple language model agents. It integrates dynamic memory management, tool invocation, and task planning modules to allow custom agent roles. Users can configure agent interactions, define workflows, and extend toolsets to build complex AI applications such as automated research assistants, code generation pipelines, and task management bots.
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Odyssey
Odyssey is an open-source multi-agent framework developed by ZJU-VIPA, enabling the orchestration of multiple language model agents. It integrates dynamic memory management, tool invocation, and task planning modules to allow custom agent roles. Users can configure agent interactions, define workflows, and extend toolsets to build complex AI applications such as automated research assistants, code generation pipelines, and task management bots.
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What is Odyssey?
Odyssey provides a flexible architecture for building collaborative multi-agent systems. It includes core components such as the Task Manager for defining and distributing subtasks, Memory Modules for storing context and conversation histories, Agent Controllers for coordinating LLM-powered agents, and Tool Managers for integrating external APIs or custom functions. Developers can configure workflows via YAML files, select prebuilt LLM kernels (e.g., GPT-4, local models), and seamlessly extend the framework with new tools or memory backends. Odyssey logs interactions, supports asynchronous task execution, and enables iterative refinement loops, making it ideal for research, prototyping, and production-ready multi-agent applications.
Who will use Odyssey?
- AI researchers
- Software developers
- Machine learning engineers
- Enterprises building AI workflows
- Students in AI
How to use the Odyssey?
- Step1: Clone the Odyssey repository from GitHub.
- Step2: Install dependencies using pip.
- Step3: Configure API keys and parameters in config.yaml.
- Step4: Define agent roles and toolsets in the workflow file.
- Step5: Run main.py to start the multi-agent system.
- Step6: Monitor logs and adjust settings for performance.
- Step7: Integrate custom tools or models as needed.
Platform
- Linux
- Mac
- Windows
Odyssey's Core Features & Benefits
The Core Features
- Multi-agent orchestration
- Dynamic memory management
- Custom tool integration
- Configurable workflows via YAML
- Support for multiple LLM backends
- Asynchronous task execution
- Logging and monitoring modules
The Benefits
- Accelerates multi-agent AI development
- Modular and extensible design
- Open-source and community-driven
- Easy integration of new models and tools
- Scalable for research and production
Odyssey's Main Use Cases & Applications
- Automated code generation pipelines
- Research assistance with iterative reasoning
- Knowledge base question answering
- Task automation bots for customer support
- Data analysis and reporting workflows
FAQs of Odyssey
Odyssey Company Information
- Zhejiang University Visual Intelligence and Perception Lab
Odyssey Reviews
5/5
Odyssey's Main Competitors and alternatives?
LangChain Agents
AutoGen
Microsoft CAMEL
AgentVerse
HuggingGPT
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