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[![Python](https://img.shields.io/badge/Python-3.12+-FCE7D6?style=flat)](https://www.python.org/) [![License](https://img.shields.io/badge/License-MIT-EDEDED?style=flat)](https://opensource.org/licenses/MIT/) [![Feishu](https://img.shields.io/badge/Feishu-Group-E9DBFC?style=flat)](./COMMUNICATION.md) [![WeChat](https://img.shields.io/badge/WeChat-Group-C5EAB4?style=flat&logo=wechat&logoColor=white)](./COMMUNICATION.md)
### ✨Better Next Moves. Fewer Wasted Tokens. Help Your Agent Get Things Done Faster.✨
### ✨A 9B Model Proposes the Strategy. Frontier Models Execute It. Better Next Moves, Fewer Wasted Tokens.✨
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Agents can execute, but struggle to decide what's worth trying next.
Without a good policy to guide them, agents waste tokens repeating mistakes and chasing dead ends.
AgentPilot uses a lightweight 9B strategy model to guide much larger frontier models in executing coding tasks.
AgentPilot helps your agents learn from each trial and choose a better next move:
- **What to change** based on what worked and what failed.
- **Which approach to try next** instead of repeating the same mistakes.
- **When to keep exploring—and when to stop** to avoid wasting the trial budget.
The larger model executes. The 9B model provides the strategy and improves its decisions through real feedback.
**The goal is simple**: **Better Next Moves**. **Fewer Wasted Tokens**.
### 🔌 Bring Your Own Agent