Adil Core · Desktop and developer runtime · In development
Local AI for everyday computers.
Useful local AI without assuming a GPU.
Adil Core is being designed as a compact, independent AI runtime for developers and applications that benefit from privacy, local execution and transparent resource requirements.
What Core is designed to deliver
- Local text-in/text-out inference
- Predictable execution and structured responses
- Offline operation for installed local capabilities
- Developer-facing runtime interfaces
- Configurable context and resource limits
- Benchmarkable CPU performance
- Model and runtime provenance
Hardware and distribution
Keep requirements practical.
Research objective Our research includes a distribution-size objective below 500 MB and a process-memory objective below 1 GB for selected configurations. These are engineering targets, not published minimum system requirements.
Initial desktop research: Windows, macOS and Linux. Actual support will depend on validated builds and devices.
A modular approach
The runtime is only part of the system.
Core is intended to combine inference, validation, version information, workload control and a developer-friendly integration layer. Quality and resource trade-offs will be evaluated for each supported configuration.
Availability
Not yet available
Adil Core is not currently offered as a generally available installer, public SDK or guaranteed local API service. Join the interest list for future product announcements.