Tested,
not hyped.

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.

What the lab does — on its own, non-stop
01 · Discover

Hunts the frontier

Finds the newest AI research and tools the moment they appear.

02 · Prove

Runs it for real

Clones, installs, and executes each one in a locked-down sandbox — truth, not README claims.

03 · Translate

Research → use‑cases

Turns what actually works into real, usable use-cases.

04 · Invent

Builds new tech

Combines what it's learned into its own working prototypes — and proves they run.

0%

One thing it proves: 1,276 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.

Try it

Send Nowness a repo.

Paste any public GitHub repo and your email. Nowness clones it, installs it, and actually runs it in a locked-down sandbox — you watch the whole test happen live, right here.

Here's exactly what lands in your inbox:

Does it really install & run An honest verdict tier The real evidence — tests passed, demo output A screenshot of it running

2,205 repos tested by the lab so far

The daily pick · under the radar

Today's verified pick.

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.

run‑verified · sandbox
★ DAILY PICK · 30 Jul 2026 ✓ production-ready Framework

OpenMed

OpenMed is a local-first healthcare AI framework that provides clinical Named Entity Recognition (NER) and HIPAA-compliant PII de-identification.

8,881tests passed
~4,749★github stars
29 Julverdict earned
Why it's today's pick — exactly

OpenMed is a local-first healthcare AI framework designed to perform clinical Named Entity Recognition and HIPAA-compliant PII de-identification. It enables users to run a vast library of medical models across mobile and desktop platforms without transferring patient data to the cloud. The project provides tools for extracting structured medical entities and redacting protected health information directly on-device.

The project earns its spotlight by solving the conflict between high-performance medical AI and data privacy. By enabling local-first deployment, it addresses the difficulty of maintaining HIPAA compliance while utilizing advanced medical NLP. Laboratory tests confirm the framework successfully installs and runs across multiple platforms, proving it can handle complex medical data processing without compromising security.

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 verdict2026-07-30
Domain-adaptation-in-MTLpaper
Read and distilled by the lab — a paper or reference resource, not runnable code.
  • Domain-adaptation-in-MTLpaper
  • CodeRAGworks
  • Image Super-Resolution via Iterative…runs
  • Entity Framework Coreruns
  • Specification-Driven Path Density (SDPD)…runs
  • PyRatesruns
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 2,205 repos tested so far.

CodeRAG

CodeRAG is an enterprise code intelligence platform that transforms software projects into searchable Neo4J knowledge graphs.

Insight Its own test suite ran — 459 tests passed.

github.com/JonnoC/CodeRAG ↗

PyRates

PyRates is a graph-based code generation and analysis framework for modeling dynamical systems, specifically neural population models.

Insight PyRates is a graph-based code generation and analysis framework for modeling dynamical systems, specifically neural population models.

github.com/pyrates-neuroscience/PyRates ↗

Shrimp Task Manager

Shrimp Task Manager is an MCP (Model Context Protocol) server that enables AI agents to manage complex software development projects.

Insight Shrimp Task Manager is an MCP (Model Context Protocol) server that enables AI agents to manage complex software development projects.

github.com/cjo4m06/mcp-shrimp-task-manager ↗

Khufu

Khufu is a test generation framework for AI IDEs that implements the test pyramid methodology using Evaluation-Driven Development (EDD) and Specification-Driven Developme.

Insight The project has a complete structure, clear documentation, and a published manifest.

github.com/agiledon/khufu ↗

Plannotator

Plannotator is a browser-based review and annotation interface for AI coding agents.

Insight The project is a complete, well-structured repository with a clear manifest, documentation, and multi-package workspace.

github.com/backnotprop/plannotator ↗

openclaw-edd

A toolkit for Evaluation-Driven Development (EDD) that allows developers to turn real agent interactions into 'golden' test cases.

Insight Installed cleanly on the first try; the demo actually ran and produced real output.

github.com/Belyenochi/openclaw-edd ↗
Browse the full database of verified finds →

Stop guessing. Send a repo.

Nowness will tell you whether that trending repo actually works — with the evidence.