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ray-project / ray

Dev Agents & ProgramsPythonApache-2.0

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

44kstars
8.1kforks
3.5kopen issues
2026-10-03last pushed
Apache-2.0license

What it is, and how people use it

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads. It sits on the Dev Agents & Programs shelf of the catalog, maintained by @ray-project.

✓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.
data-sciencedeep-learningdeploymentdistributedhyperparameter-optimization
ray.io

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…

Languagesestimated from snapshot

  • Python 87.4%
  • Shell 12.6%

Community pulsesnapshot ratios, normalized

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