Features
Ingest Git repositories and generate structured context
Automatic chunking for AI context windows
Markdown and plain text output
Custom prompt templates injection
Context caching to reduce latency
Integration with GitHub and GitLab
Manual file upload for ad-hoc context
Context diffing to track changes
Export context as JSON or text
Role and audience targeting (e.g., developer vs. tester)
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
