GenericAgent
Self-evolving agent that grows a skill tree from 3.3K lines of seed code to achieve full system control.
- Region
- Unknown
- Pricing
- Free
- Open source
- Yes
- GitHub Stars
- ★ 12.5k
- Views
- 1
- Source
- GitHub
- Added
- 2026-06-04
- Last verified
- 2026-06-04
Overview
GenericAgent is a self-evolving agent that starts with 3.3K lines of seed code, grows a skill tree, and ultimately achieves full system control. This approach enables it to complete tasks using 6 times fewer tokens than traditional methods. Ideal for scenarios requiring efficient management and control of complex systems.
Key features
- ▪Self-evolving agent
- ▪Starts from 3.3K lines of code
- ▪Achieves full system control
- ▪Reduces token consumption by 6x
Use cases
Pros
- ＋Efficient resource utilization
- ＋Automatic adaptation to environmental changes
Limitations / notes
- －Initial setup may be complex
Who it's for
This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.
FAQ
How does GenericAgent work?
It starts from 3.3K lines of seed code, evolves skills through self-generation, and achieves control over the entire system.
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