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Velofy LabDelhi, India

AI research and open source tools for real work.

An applied AI lab. AI research, applied AI, and the harnesses and tool calls that make agentic coding better. We build Troy, the browser for agents, and open source tools we measure.

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Papers
46
Measured runs
04
Open questions
70
Open source tools
06

01Products

Troy, the browser for agents.

Get Troy

A Chromium browser for macOS and Windows that you use like any other, with one difference: open the debugging port and an AI agent attaches over CDP to the tabs you are already signed into, instead of a fresh browser with no logins. It ships with a Claude Code plugin and skills that teach an agent to work in your session. Free and MIT licensed. Read the documentation.

02Signal

A trained baseline sets the bar at 77 labels.

On a 77-way Banking77 slice, a TF-IDF model trained on 10,003 examples answers in 0.19 ms and beats both zero-shot decision models. At 5 options the picture changes, so option count is a first-order variable.

Read the report
Fig. 1 Accuracy, 1,001 items, 77 options. Higher is better.
  1. TF-IDF + LRtrained0.846
  2. Layazero-shot0.386
  3. GLiClass-smallzero-shot0.119

Random guessing: 0.014. Source: Decision Bench v0.

03Papers

Research, with the evidence attached.

All 46 papers
Open the research graph

04Tools

05Index