Features
Library-trained AI agents for open-source packages
Natural language question answering
Customized code generation for your project
Integration with popular IDEs via plugin
Access to library-specific GitHub repositories for training
Context-aware responses based on your codebase
Support for multiple programming languages (Python, JS, etc.)
Search by library name or function
Code snippet copy-paste ready
Usage examples generated on demand
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
