AI startups & SaaS teams
Build the product experience and domain logic that matter to your customers. Evaluate an AI execution layer you can configure alongside the rest of your stack.
FOR AI SAAS TEAMS & AGENCIES
Keep your app code. Choose your models. Run on your infrastructure.
Agents · Memory · Knowledge · Tools [3]
Self-hosted Runtime · Local models · Air-gap [2]
App integration and Runtime configuration required. Air-gap needs local models and dependencies. Commercial Runtime licensing applies. [9]
BUILT AROUND YOUR DELIVERY
Build the product experience and domain logic that matter to your customers. Evaluate an AI execution layer you can configure alongside the rest of your stack.
Agree what each customer will receive: application source, integrated AI behavior, deployment responsibilities and acceptance evidence.
Already have a product? An ISV can integrate the Runtime through its APIs or SDK without adopting the Desk interface. [3]
Work in your repository and editor. Your application supplies the UI and business logic; LibraOS supplies the AI execution layer.
Explore the development workflow → [1] [3]Use the configured action workflow for approvals and audit. The kernel rejects self-approval; Desk provides an application-level review queue.
Read the action contract → [5] [6]Operate the Runtime on your infrastructure, including air-gapped environments with local models, embeddings and compatible dependencies.
Review deployment requirements → [2] [7]TRY THE SAME CUSTOMER TASK
Use this evaluation brief with either platform. Agree the required behavior and the test environment before you build.
Sign in, retrieve permitted product knowledge, retain the right user context and draft a reply. Require human approval for the agreed sensitive action.
Add an escalation rule. Repeat the original journeys and check that access boundaries and saved data still behave correctly.
Build from the delivered source, run in the agreed environment and verify backup and restore. Record model services, licenses and operating effort.
A working preview is one checkpoint. Acceptance also requires the critical journeys, permission checks and required data persistence to pass. Compare cost per accepted delivery, with human effort and ongoing usage recorded separately.
AGREE THE OPERATING MODEL
Self-Hosted puts the Runtime and configured services in your environment. LibraOS Cloud is available through private-beta onboarding. [2] [8]
Customer source ownership and Runtime licensing are different. Confirm commercial Runtime rights, application dependencies, model usage and ongoing operating costs for the engagement. [9]
Understand licensing and usage →Published by LibraOS. Official documentation reviewed . Selection guidance, not a performance or cost benchmark. Plans and versions can change.