workflowstacks
ai-agent

Ray: Accelerate AI

Get accelerated ML workloads with Ray, a compute engine for founders in AI and machine learning.
43,515 stars7,922 forksPythonGuide quality 8/10Updated 8/14/2026100% free · open source
What it does

Ray accelerates machine learning workloads by providing a distributed compute engine for scalable AI applications

When to use it
  • •You need to scale your ML model training across multiple machines
  • •You want to accelerate your AI workflows with a high-performance compute engine
  • •You're building a real-time AI application that requires low-latency processing
Ready-to-paste prompt
ray.init(); @ray.remote; def train_model(data): # your model training code here; train_model.remote([1, 2, 3])
Heads up: Make sure you have the correct version of Python installed, as Ray supports Python 3.7, 3.8, and 3.9, but not Python 3.6 or earlier
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/ray && curl -fsSL https://workflowstacks.com/api/skills/ray/claude-skill -o ~/.claude/skills/ray/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Ray: Accelerate AI works
Codeflow
Free to inspect

Ray: Accelerate AI is a very large Python project (~968k lines across 4640 code files, plus 1888 test files). Setup is light: installs like a normal app. Reading the code is optional. Last commit this month, Apache-2.0 license, has a test suite.

Size
Very large codebase
~968k lines · 4640 code files · days to read — use, don't read
Setup
One-command install
Installs like a normal app. Reading the code is optional.
Runs on
Python
No API keys detected
Python 77%C++ 17%Java 2%Starlark 1%TypeScript 1%
Where to start reading
  1. 1
    README.rst
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    pyproject.toml
    Dependencies and the commands it exposes
  4. 4
    src/ray/pubsub/README.md
    Inside src/ — the main logic begins here
What's in each folder
src/Core code — the actual logic1014 files
doc/Documentation1683 files
python/Folder3758 files
rllib/Folder1599 files
release/Folder1235 files
java/Folder387 files
ci/Folder314 files
cpp/Folder83 files
READMEHas testsDocumentedCI checksApache-2.0 licenseUpdated this month
Quick Actions
Details
Creator
ray-project
Language
Python
Category
ai-agent
Published
10/25/2016

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