Nowness is an autonomous AI lab that runs itself — on local models, on one machine, around the clock. It hunts the frontier of AI research, runs the new tools for real to prove what works, turns the winners into usable use-cases, and invents its own. No cloud, no human in the loop. Try it → give it any GitHub repo and get an honest, execution-backed verdict in minutes.
Finds the newest AI research and tools the moment they appear.
Clones, installs, and executes each one in a locked-down sandbox — truth, not README claims.
Turns what actually works into real, usable use-cases.
Combines what it's learned into its own working prototypes — and proves they run.
One thing it proves: 1,062 AI repos it actually ran, and a third don't work.
Everyone judges AI by the demo. Nowness runs the code — and only surfaces what's real.
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.
→ 1,731 repos tested by the lab so far
Every day Nowness features ONE repo from its verified winners — ranked purely by real execution evidence (tests that passed, installs that worked, demos that ran), never by stars, and never an obvious big name. A fresh verified gem, daily.
A Visual Studio Code extension that provides a graphical representation of Git repository history.
We didn't read about this one — we ran it. Inside the lab's locked-down sandbox its own test suite executed for real; every pass is counted in the numbers above. It installed cleanly on the first try, with no dependency surgery. That run — not the README — is what earned it production-ready, the lab's highest tier, given only when code demonstrably works.
And it's exactly what the daily pick exists to surface: still under our 5,000★ fame ceiling, a verified gem flying under the radar — never a giant you already know.
Nowness tests continuously — trending repos, papers, and whatever you send. This is live from the sandbox.
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 1,731 repos tested so far.
A self-refining agent that converts hardware description languages (Verilog/VHDL) into formal proofs using LLMs and deductive search.
Insight Installed cleanly on the first try; its own test suite ran — 34 tests passed.
github.com/danieleschmidt/formal-circuits-gpt ↗A research and implementation project focused on Large Language Model (LLM) reasoning patterns.
Insight The project provides a complete, structured implementation of multiple complex reasoning frameworks with documentation and a clear module structure.
github.com/XY2323819551/llm_inference_arch ↗A Python implementation of Monte Carlo Tree Search (MCTS) combined with a self-refinement mechanism for Large Language Model reasoning.
Insight Installed cleanly on the first try.
github.com/naivoder/MCTSr ↗A TypeScript library that allows developers to build GraphQL queries as JavaScript objects.
Insight Installed cleanly on the first try.
github.com/acro5piano/typed-graphqlify ↗A PyTorch implementation of Graph R-CNN and other state-of-the-art scene graph generation models.
Insight The project contains a comprehensive set of reimplemented models and a structured codebase.
github.com/jwyang/graph-rcnn.pytorch ↗A GraphQL client and code generator that produces strongly typed TypeScript/JavaScript clients and JSON schemas from a GraphQL schema.
Insight Installed cleanly on the first try.
github.com/graphql-editor/graphql-zeus ↗Nowness will tell you whether that trending repo actually works — with the evidence.