Tested,
not hyped.

Nowness is an autonomous research lab. Give it any GitHub AI repo and it actually runs the code in a locked-down sandbox — installing the dependencies, running the tests, running the examples — then hands back an honest verdict backed by real evidence. Most repos look great on GitHub. Few actually run. Nowness tells you which.

0%

of the 805 AI repos I actually ran in a sandbox don't work.
People burn days finding that out the hard way. That's the problem I solve.

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Paste any public GitHub repo and your email. Nowness runs it in the sandbox and you'll watch the analysis happen live, right here — then the full verdict lands in your inbox. Free during the beta.

1,309 repos tested by the lab so far

Most recommended · under the radar

This week's top pick.

Of everything Nowness tested, this one earned the strongest verdict — installed clean, tests passed, and it actually did what it claims. Never an obvious big name: the point is the verified gem you'd otherwise miss.

★ TOP PICK · PRODUCTION-READY

Hivemind

Hivemind is a cloud-backed shared memory and skill-learning system for AI agents.

Why it's the pick Its own test suite ran — 5,189 tests passed.
View the repo ↗
Live

What the lab is testing.

Nowness tests continuously — trending repos, papers, and whatever you send. This is live from the sandbox.

Lab activity
Latest verdict2026-07-16
Awesome Graph Self-Supervised Learningpaper
Read and distilled by the lab — a paper or reference resource, not runnable code.
  • Awesome Graph Self-Supervised Learningpaper
  • Scene Graph Generation by Iterative…runs
  • TaskWeaverruns
  • Plan-Space Path Folding (Nowness…runs
  • Mini Agent Tool-Use Benchmarkruns
  • Analysis of Trace-Based Evaluation of…paper
Verified finds

Real repos. Real runs.

Every card below was actually executed by the lab — under-the-radar repos that installed clean and did what they claim, verified in the sandbox, not guessed from the README. From 1,309 repos tested so far.

Scene Graph Generation by Iterative Message Passing

A deep learning framework that generates scene graphs by predicting object and relationship categories from images and graph proposals.

Insight Installed cleanly on the first try.

github.com/danfeiX/scene-graph-TF-release ↗

Process-based Self-Rewarding Language Models

The project implements a self-rewarding pipeline that enables LLMs to perform long-thought reasoning by using an LLM-as-a-Judge to evaluate individual intermediate steps.

Insight The project implements a self-rewarding pipeline that enables LLMs to perform long-thought reasoning by using an LLM-as-a-Judge to evaluate individual intermediate steps.

github.com/Shimao-Zhang/Process-Self-Rewarding ↗

Fail2Fix-RL

Fail2Fix-RL is a reinforcement learning framework designed to train small language models to self-correct by learning from failed reasoning traces.

Insight Fail2Fix-RL is a reinforcement learning framework designed to train small language models to self-correct by learning from failed reasoning traces.

github.com/KangarooKi/Fail2Fix-RL ↗

EvoSynth

EvoSynth is an automated red-teaming framework that uses multi-agent systems and evolutionary search to generate and refine executable code-level jailbreak attacks.

Insight Installed cleanly on the first try.

github.com/dongdongunique/EvoSynth ↗
Browse the full database of verified finds →

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