MemoHarness: Agent Harnesses That Learn from Experience
An agent harness is the external control layer that turns a base LLM into an executable agent by managing context, tools, orchestration, memory, decoding, and output handling. While harness design strongly affects agent behavior, most autom
https://arxiv.org/abs/2607.14159v1 ↗Thesis fit
Good fit
Within your typical scope; diligence still required.
In your usual scope
Idea match
Light
How close the company’s idea is to your thesis statement
Sector
llm
Overlap with sectors you care about
Geography
Unknown
Location unknown — scores 0
Your thesis: “We back exceptional technical founders building AI-first products and infrastructure, deploying $100K checks within 24 hours.”
Founder → stable
Traction → stable
Idea vs market ↓ declining
▸ Add / edit details
Correct facts used on the next screening or memo.
People
Y
Yue Huang
1.0
low confidence
W
Wenjie Wang
1.0
low confidence
H
Han Bao
1.0
low confidence
Y
Yuchen Ma
1.0
low confidence
X
Xiaonan Luo
1.0
low confidence
Y
Yi Nian
1.0
low confidence
H
Haomin Zhuang
1.0
low confidence
Z
Zheyuan Liu
1.0
low confidence
Y
Yue Zhao
2.0
low confidence
X
Xiangliang Zhang
1.0
low confidence
Activity & evidence
Similar baseline plays (YC · idea space)
Guide Labs
· Active
Frontier models and agents you can learn from, audit, and steer.
founders not scraped yet