What is OxyGent?
OxyGent is an open-source framework designed for developers who need to build, manage, and scale sophisticated multi-agent systems. It addresses the complexity of traditional agent development by providing a unified, transparent, and code-first environment. With OxyGent, you can move from a complex idea to a functioning multi-agent team quickly and efficiently, using only pure Python.
Key Features
🐍 Code-First Development in Pure Python Forget wrestling with complex YAML files or boilerplate code. OxyGent allows you to define your entire multi-agent system using clean, intuitive Python scripts. This developer-first approach means you can focus on your application's logic and iterate faster, assembling powerful agent teams in minutes, not days.
🔬 Transparent Agent Orchestration & Debugging Gain unprecedented insight into your agents' operations. OxyGent provides powerful visualization tools to "X-ray" agent cognition, letting you trace decision-making processes, audit triggers, and replay any reasoning path. The integrated performance profiler helps you instantly identify and resolve bottlenecks, from LLM calls to tool execution.
🧩 Modular & Extensible "Oxy" Architecture Build with flexibility and for the future. The framework is built on modular "Oxy" components—agents, tools, and models—that snap together like building blocks. This design makes it simple to hot-swap components, reuse logic across different scenarios, and scale your system's topology from a simple agent to a complex, distributed network.
🔄 Built-in Continuous Evolution Create systems that learn and improve over time. OxyGent is engineered with a continuous evolution loop that automatically captures interaction data to generate training sets. This allows your agents to refine their performance and adapt to new challenges, ensuring your system becomes more capable with every task it completes.
How OxyGent Solves Your Problems
For Rapid Prototyping: You have an idea for a multi-agent workflow but need to validate it quickly. Instead of spending days on setup, you can use OxyGent's Python-native interface and pre-built tools to script and launch a functional prototype in under 10 minutes, observing the agent interactions in a clear, chat-like interface.
For Performance Optimization: Your multi-agent system is running slower than expected, but the cause is unclear. With OxyGent's performance profiler, you can visualize the entire workflow, see exactly how much time each agent and tool is consuming, and immediately pinpoint the source of the delay for targeted optimization.
For Building Enterprise-Grade AI: You need to replace siloed, single-purpose AI models with a cohesive, intelligent system. OxyGent provides the unified framework to build an interconnected team of specialized agents that can collaborate on complex tasks, reducing communication overhead and creating a truly intelligent, scalable ecosystem.
Unique Advantages
A True Developer-First Experience: OxyGent is fundamentally designed to enhance developer productivity. By prioritizing pure Python and eliminating configuration-file complexity, it provides a streamlined and powerful environment that lets you focus on creating business value, not on fighting the framework.
Production-Ready Transparency and Control: While many frameworks treat agent reasoning as a black box, OxyGent provides the deep visibility required for production environments. The ability to audit, debug, and profile agent behavior ensures you can build reliable, predictable, and maintainable systems you can trust.
Verifiable High Performance: OxyGent's architecture is engineered for efficiency and collaborative intelligence. In recent GAIA benchmark testing, OxyGent (59.14) demonstrated performance competitive with leading open-source systems, validating its capability to handle complex, real-world tasks effectively.
Conclusion
OxyGent is more than just another framework; it's a complete, open-source ecosystem for engineering the next generation of intelligent, collaborative AI systems. It offers the power, transparency, and developer-friendly experience required for both rapid prototyping and production-scale deployment.
Ready to breathe life into your AI projects? Explore the documentation or star the project on GitHub to start building your first AI team today!
More information on OxyGent
Launched
1992-09
Pricing Model
Free
Starting Price
Global Rank
Follow
Month Visit
<5k
Tech used
Top 5 Countries
67.2%
22.5%
4.82%
3.42%
1.08%
China
Taiwan
United States
Australia
Hong Kong
Traffic Sources
1.42%
0.36%
0.16%
6.61%
7.38%
83.85%
social
paidReferrals
mail
referrals
search
direct
Source: Similarweb (Sep 25, 2025)
OxyGent was manually vetted by our editorial team and was first featured on 2025-07-25.
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