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jinli.yl 2025-07-31 20:38:06 +08:00
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---
## 📰 What's New
- **[2025-08]** 👉 Access experiences directly through the library, and contribute to expand our expertise pool👉[TODO]()
- **[2025-08]** 🚀 MCP is now available! → [Quick Start Guide](./doc/mcp_quick_start.md)
- **[2025-07]** 🎉 ExperienceMaker v0.1.1 is now available on [PyPI](https://pypi.org/project/experiencemaker/)!
- **[2025-07]** 📚 Complete documentation and quick start guides released
@ -482,7 +483,7 @@ We test ExperienceMaker on Appworld with qwen3-8b:
|--------------------------------|-----------|-------------|-----------|
| w/o ExperienceMaker (baseline) | 0.083 | 0.140 | 0.228 |
| **w ExperienceMaker** | | | |
|experience(Direct Use) | **0.109** | **0.175** | **0.281** |
| experience(Direct Use) | **0.109** | **0.175** | **0.281** |
Pass@K measures the probability that at least one out of K generated samples successfully completes the task (achieves score=1).
The current experiments use an internal AppWorld environment which may have slight discrepancies, and we will soon update with experimental results from the standard AppWorld environment.
@ -491,18 +492,25 @@ You may find more details to reproduce this experiment in [quickstart.md](cookbo
### 🧊 Experiment on Frozenlake
| without experience | with experience |
|:----------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------------:|
| <p align="center"><img src="doc/figure/frozenlake_failure.gif" alt="ExperienceMaker Logo" width="40%"></p> | <p align="center"><img src="doc/figure/frozenlake_success.gif" alt="GIF 2" width="40%"></p> |
<table>
<tr>
<td align="center"><strong>Without Experience</strong></td>
<td align="center"><strong>With Experience</strong></td>
</tr>
<tr>
<td align="center"><img src="doc/figure/frozenlake_failure.gif" alt="without experience" width="40%"></td>
<td align="center"><img src="doc/figure/frozenlake_success.gif" alt="with experience" width="40%"></td>
</tr>
</table>
We test on 100 random frozenlake map with qwen3-8b:
| Method | pass rate |
|-------------------------------|------------------|
| Method | pass rate |
|--------------------------------|------------------|
| w/o ExperienceMaker (baseline) | 0.66 |
| **w ExperienceMaker** | |
| [1] experience(Direct Use) | 0.72 **(+9.1%)** |
| [2] experience(LLM Rewritten) | 0.72 **(+9.1%)** |
| **w ExperienceMaker** | |
| [1] experience(Direct Use) | 0.72 **(+9.1%)** |
| [2] experience(LLM Rewritten) | 0.72 **(+9.1%)** |
We also noticed that in such simple scenarios, not using LLM rewriting may actually yield better results.
@ -522,7 +530,7 @@ Coming Soon! Stay tuned for comprehensive evaluation results.
---
## 🏪 Ready-made Experience Store
## 🏪 Pre-built Experience Libraries
ExperienceMaker provides pre-built experience libraries to jumpstart your agent's capabilities.
You can directly load these curated experiences into your workspace and start benefiting from accumulated knowledge