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
Laguna XS.2 model (33B params, 3B active, on-device)
Laguna M.1 model (225B params, 23B active, via API)
256K context length for multi-step reasoning
Multi-agent orchestration with planning and tool use
Sandboxed agent execution environments
Developer surfaces: agents, TUI, IDE extensions, binaries
Custom foundation models deployed on-prem or in VPC
Data connectors to repos, databases, data warehouses
Role-based access control for humans and agents
Executive-grade governance and auditability
On-prem, VPC, and workstation deployment (defense only)
Forward Deployed Research Engineers embed with teams
Real-time observability with end-to-end traces
Air-gapped network support
Open-weight model weights available
