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Dev Agents & ProgramsPythonAGPL-3.0
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Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 - object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

62.2kstars
11.8kforks
75open issues
2026-10-03last pushed
AGPL-3.0license

What it is, and how people use it

Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 - object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking It sits on the Dev Agents & Programs shelf of the catalog, maintained by @ultralytics.

✓Drop-in for Claude Code, Codex CLI and Cursor - install and it just runs.
✓Read the SKILL.md / README first; most setups are one command from the docs.
✓Teams use it to standardise how agents behave across every repo in the org.
computer-visiondeep-learningimage-classificationinstance-segmentationmachine-learning
platform.ultralytics.com

Why builders keep it installedDev Agents & Programs benefits

Day-one leverage

These CLIs and dashboards solve one job well and install with a single command. Value shows up in the first hour, not after a config weekend.

Composes with your agent

Most of them ship an MCP server, skill or hooks - so the same tool you use manually becomes an action your agent can call safely.

Built under real workloads

Star counts here track repos people actually run daily: the issue history shows bug classes fixed under production pressure, not demo-week polish.

Free and open source

Every tool on this page ships under an open license and can be self-hosted. Your usage data and your configs stay yours.

Contributorsloading from GitHub…

ULultradev1953ULultradev2858ULultradev3763ULultradev4667ULultradev5572ULultradev6477ULultradev7382ULultradev8286

Languagesestimated from snapshot

  • Python 73.0%
  • Rust 15.0%
  • Shell 12.0%

Community pulsesnapshot ratios, normalized

starsforksissues ×3watchers