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 457 trending AI repos I sandbox-tested don't actually run.
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.

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

claude-tap

A local proxy and trace viewer that intercepts and inspects API traffic from various AI coding agents (e.g., Claude Code, Cursor, Gemini CLI).

Why it's the pick The sandbox run shows successful installation (install_exit: 0), all tests passed (865 passed, 121 skipped), and the demonstration successfully imported the package and exposed its public API (demo_exit: 0).
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
Idle — send a repo above and watch it here.
  • Search-by-Distance-SMPreference
  • Smart-Thinking MCP Serverproduction-ready
  • Gemini Fullstack LangGraph Quickstartusable
  • Fooocususable
  • Agents Towards Productionreference
  • Video-o3usable
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 948 repos tested so far.

✓ PRODUCTION-READY

Smart-Thinking MCP Server

A Model Context Protocol (MCP) server that provides local, graph-based multi-step reasoning and memory management.

Sandbox found The sandbox successfully installed dependencies (npm_install_exit: 0) and all 20 test suites passed (npm_test_exit: 0).

github.com/Leghis/Smart-Thinking ↗
✓ USABLE

Gemini Fullstack LangGraph Quickstart

A full-stack application demonstrating a research-oriented AI agent built with LangGraph and Google Gemini.

Sandbox found The project contains a complete codebase with a frontend, backend, and deployment configurations; while the 'make test' command failed (likely due to missing test suite definitions), the project structure and documentati

github.com/google-gemini/gemini-fullstack-langgraph-quickstart ↗
✓ USABLE

Fooocus

Fooocus is a streamlined interface and implementation for Stable Diffusion image generation.

Sandbox found Static: The project has a complete file structure, including Dockerfiles, configuration files, and a comprehensive set of Python scripts, indicating a mature and released application.

github.com/lllyasviel/Fooocus ↗
✓ USABLE

Video-o3

Video-o3 is a framework for long video multi-hop reasoning that mimics human behavior by actively exploring video content.

Sandbox found The sandbox's memory cap killed the build (install_exit: 137), but the project is a complete and released research framework with training/evaluation code, datasets, and checkpoints.

github.com/MCG-NJU/Video-o3 ↗
✓ USABLE

Deep RAG

Deep RAG is an advanced Retrieval-Augmented Generation system that enhances AI understanding by preserving file structures and generating a 'knowledge map' instead of jus.

Sandbox found The project has a complete structure including a backend, frontend, and documentation, and successfully installed dependencies (install_exit: 0), though the demo_exit: 1 indicates a configuration or environment issue wit

github.com/boluo2077/deep-rag ↗
✓ USABLE

Vector Graph RAG

A Graph RAG (Retrieval-Augmented Generation) implementation that enables multi-hop reasoning using only vector search.

Sandbox found The library is published on PyPI with a clear structure and includes multiple provider support; while the sandbox's demo_exit was 1 due to a missing API key, the package successfully imported and is designed for producti

github.com/zilliztech/vector-graph-rag ↗
Browse the full database of verified finds →

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