Omma is a panel-based platform for data retrieval and analysis, powered entirely by local LLMs. Each panel is an independent screen — fetch, analyse, and query sensitive data without a single byte leaving your hardware.
Every panel in Omma is an independent screen. Built-in panels handle common retrieval and analysis tasks. Custom panels are just Python plugins.
Each data source, analysis view, or AI interaction lives in its own panel. Drag, split, float, and arrange them exactly how your workflow demands.
Qt DockingWrite a Python file, drop it in. It becomes a fully-featured screen inside Omma — with its own UI, data connections, and AI capabilities. No framework to learn.
Python PluginsPanels communicate through a central event bus. A selection in one panel can trigger analysis in another — without hardcoded dependencies between them.
Event-DrivenConnect directly to your local inference engine. Swap models mid-session. No API keys, no rate limits, no costs beyond your own hardware.
Local LLMDesigned for financial analysts, legal teams, and engineers who need AI over proprietary data without violating compliance or NDAs.
Compliance-ReadyMIT licensed. Audit every line. Fork and extend without asking permission. Your data, your panels, your infrastructure.
MIT LicenseEvery panel is fully decoupled. They publish and subscribe to events on the Context Bus — so adding a new panel never requires touching existing code.
Open source, self-hosted, and ready to extend. Drop in a Python file and it becomes a screen.