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.
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.
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One thing it proves: 1,109 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.
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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
→ 1,792 repos tested by the lab so far
nowness · sandbox
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.
SAGA is a Python library for designing, comparing, and visualizing task graph scheduling performance on heterogeneous compute networks.
96tests passed
~17★github stars
17 Julverdict earned
Why it's today's pick — exactly
SAGA is a Python library designed for modeling and visualizing task graph scheduling across heterogeneous compute networks. It provides a unified API that allows users to compare various scheduling algorithms, including classic heuristics and SMT-based optimizers, without needing to rewrite code for different models. The lab's execution confirmed that the library installs correctly and passes every unit test, proving a robust and functional core.
This project earns its spotlight by solving the lack of a cohesive interface for evaluating distributed computing workflows. By offering a single framework to benchmark performance and reproduce research experiments, it simplifies the development of complex scheduling tasks. It streamlines how developers design and optimize workflows across diverse computing environments.
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 1,792 repos tested so far.
Elixir Phoenix Plugin for Claude Code
A comprehensive plugin for Claude Code that orchestrates 26 specialized AI agents to plan, implement, and audit Elixir/Phoenix applications.
Open Browser is an autonomous web browsing framework for TypeScript that enables AI agents to navigate websites, click buttons, and extract data.
Insight Open Browser is an autonomous web browsing framework for TypeScript that enables AI agents to navigate websites, click buttons, and extract data.
PageIndex is a vectorless, reasoning-based Retrieval-Augmented Generation (RAG) system that replaces traditional vector similarity search with a hierarchical tree index.