Features
Modular AI prompt system (patterns)
Command-line interface (CLI) for running prompts
Chaining multiple AI prompts into workflows
Crowdsourced, community-contributed prompts
Local execution (client-side or offline)
Open-source (MIT license)
Integrates with multiple AI models (e.g., OpenAI, Anthropic)
Custom prompt creation and sharing
Pattern repository on GitHub
Extensible via Python scripts
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
