← back

Memory as a Controlled Process: Learned Adaptive Memory Management for LLM Agent

Large Language Model (LLM) agents increasingly rely on external memory systems to accumulate experience across tasks. Yet nearly all existing approaches, from graph-structured memories to reflective insight stores, access memory through fix

https://arxiv.org/abs/2607.13591v1 ↗
Thesis fit
Good fit

Within your typical scope; diligence still required.

Edit thesis
In your usual scope
Idea match None

How close the company’s idea is to your thesis statement

Sector agents, 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
Generate memo
Add / edit details

Correct facts used on the next screening or memo.

Similar baseline plays (YC · idea space)

Mem0 · Active
The Memory layer for AI Agents
founders not scraped yet
Syntropy · Active
The agentic coding app for complex tasks.
founders not scraped yet
Canvas · Active
Continual learning for agents
founders not scraped yet
Epicenter · Active
ChatGPT's memory feature in an open, portable format
founders not scraped yet
Synth · Active
Prompt and Context Optimization for Coding Agents
founders not scraped yet