C
CAST
Case-driven framework that learns from execution trajectories to optimize LLM tool use
Open SourceFree
About
CAST is a research framework that treats agent execution trajectories as structured cases to improve LLM tool use. It extracts signals from past execution cases to optimize reasoning strategies and enhance structural validity in agent workflows. Designed for researchers exploring systematic approaches to agent learning from experience, it offers a novel case-based reasoning approach to improving tool selection and execution patterns.
Details
| Language | |
| Patterns |
Tags
frameworktool-useopen-sourceautonomousevaluation
Quick Info
- Organization
- Research collaboration
- Pricing
- open-source
- Free Tier
- Yes
- Updated
- May 16, 2026
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