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openai/CLIP

openai / CLIP

Dev Agents & ProgramsJupyter NotebookMIT
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CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

34.4kstars
4.1kforks
275open issues
2026-03-25last pushed
MITlicense

What it is, and how people use it

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image It sits on the Dev Agents & Programs shelf of the catalog, maintained by @openai.

✓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.
deep-learningmachine-learning

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…

OPopenadev1921OPopenadev2829OPopenadev3737OPopenadev4645OPopenadev5553OPopenadev6461OPopenadev7369OPopenadev8276

Languagesestimated from snapshot

  • Jupyter Notebook 84.9%
  • Shell 11.3%
  • JavaScript 3.8%

Community pulsesnapshot ratios, normalized

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