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HarnessX
Composable runtime scaffolding for adaptive AI agents that learn from execution traces
Open SourceFree
About
HarnessX is an academic research framework for building evolvable agent harnesses that systematically compose prompts, tools, memory, and control flow. Unlike static frameworks, it introduces runtime scaffolding that learns from execution traces to improve agent behavior over time. Designed for researchers exploring adaptive agent architectures and self-improving systems.
Details
| Language | |
| Patterns |
Tags
frameworkopen-sourceautonomousmemoryorchestrationevaluationtracing
Quick Info
- Organization
- Research Team (Tingyang Chen et al.)
- Pricing
- open-source
- Free Tier
- Yes
- Updated
- Jun 15, 2026
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