Aspect Research

An independent AI lab working on LLM reliability. Mostly that means agents: why they fail, and what it takes to trust them with real work.

01

Research

On SWE-bench Verified, repository guidance that is iteratively refined outperforms static context, and the accumulated guidance transfers across repositories.

02

Systems

Flowers

An experimental personal-agent harness. A testbed for reliability ideas: it plans before acting, asks before anything irreversible, and checks its own work.

Aedos

Verified symbolic memory for LLMs. Extracts claims, routes them to verifiers, and accumulates a verified cache over time — a study in the soundness–coverage tradeoff.

npm

Aspect Code

Open-source CLI that generates and maintains repository guidance for AI coding agents — the tooling counterpart to our probe-and-refine research.

03

Experiments

Active

Market Autoresearch

A multi-agent system that researches financial markets. It generates hypotheses, runs quantitative experiments against market data, and surfaces the findings that survive independent meta-review.

With an independent collaborator (markets).

Voynich Autoexploration

An autonomous multi-agent loop that probes the structure of the Voynich Manuscript end to end. It ran over 600 corpus-statistical experiments and over 5400 cipher-mechanism simulations, and it surfaced novel findings.

04

Writing

05

People

Markets

Independent collaborator

Unnamed. Works on the markets-information side — not the AI autoresearch or the HFT implementation.

Aspect Research also draws on informal advisors across adjacent fields.

Contact

Get in touch: asa@aspectresearch.org

Our community Slack is invite-only — email us to join. Code and releases live on GitHub.