Recent Stars

Agent-orchestrated autoresearch loop for iteratively improving weather dynamical cores

It encodes a fixed multi-role protocol that spawns Researcher proposals, Evaluator triage, Implementer changes, and Scorer comparisons against WeatherBench2 fast/iteration/validation gates before accepting or reverting each candidate. The technique applies established agent scaffolding to a narrow numerical weather prediction niche, so adoption stays confined to specialized atmospheric modeling groups.

End-to-end transformer for egocentric 3D hand-object pose estimation from single RGB images

HOPformer uses a cross-attention decoder that conditions object features on WiLoR hand priors inside one forward pass to jointly output bimanual MANO meshes, object pose, and class while tolerating heavy occlusion. The technique offers an incremental advance for the narrow egocentric hand-object interaction community rather than a broadly reusable primitive.

Python framework providing humane browser automation and request handling to build undetectable scrapers

It supplies a decorated task API with a stealth-enhanced driver, browser-like HTTP requests, parallel execution, caching, and one-command packaging into desktop or web apps. The approach consolidates known stealth techniques and developer utilities into a single workflow rather than introducing fundamentally new detection-evasion primitives, limiting its audience to scraping specialists.

Daily archive of political campaign fundraising emails fetched via IMAP and published as dated JSONL files

Scripts connect to Gmail via IMAP to retrieve fundraising emails daily, extract fields such as sender, subject, body, and party indicators, then store results in partitioned JSONL files under a date hierarchy. The method replicates common archival tooling without novel algorithms, so it appeals mainly to a narrow group of data journalists and campaign analysts seeking historical email corpora.

Minimalist terminal coding agent and layered harness for building custom LLM agents

Tau factors an agent into a provider-neutral harness that emits typed events, a durable JSONL session store, and ordinary typed tool functions while the outer coding layer supplies file, shell, and TUI frontends. Its explicit teaching focus and small readable layers give developers a concrete starting point for assembling their own agents rather than competing with production tools.

Research agent that autonomously compresses context using its own first-principles rubric

The ReAct agent runs three policies over web or corpus benchmarks and triggers self-summarization only after cheap gates plus a four-question model verdict on closed units, summarizability, progress, and non-stuck state. The rubric approach introduces model-driven compaction that avoids fixed schedules yet targets a narrow audience of deep-research agent developers.