Features
AI agents that auto-open optimization PRs
Up to 6x faster job execution vs GitHub-hosted
5th Gen AMD EPYC processors (30% faster)
$0.008/min compute, 33% cheaper than GitHub
No queue time billing or seat fees
Zero-config migration from GitHub Actions
Supports any GitHub Actions workflow
Real-time build log streaming
Usage analytics and cost tracking
Agentic caching optimization
Dependency install optimization
Workflow structure splitting
Multi-language support (JS, Python, Rust, Go, etc.)
Docker build optimization
Decorator-based LLM call pattern (@llm.call)
Automatic versioning with @ops.version
Tracing and cost tracking per call via @ops.trace
Built-in tool calling with @llm.tool
Agent loop with tool execution and response resume
Streaming response support
Thinking/reasoning with include_thoughts parameter
OpenTelemetry integration for observability
Structured output via Python type hints
Multi-provider support (OpenAI, Anthropic, Google)
Lightweight, minimal abstraction design
Provider-agnostic unified interface
Simple tool creation with function decorators
Cost tracking per interaction
GitHub open-source (MIT license)