LibraOS
LibraOS provides a self-hosted runtime that lets software teams add governed AI capabilities—agent execution, knowledge retrieval, memory, and policy enforcement—to existing applications without building those components themselves. The runtime sits between the application and AI systems, with the application owning the user experience and business workflow. It also offers Libra Desk, a workspace where teams work with digital employees for tasks like finding company answers and drafting customer replies, with human review checkpoints.
- Artificial Intelligence
- AI Agents
- Enterprise Software
- Developer Tools
- Software Only
Funding
Raised to date
$120KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Founder details are not available yet.
Product
Problem
Software teams building AI features into existing products face a complex integration challenge: they must handle agent execution, knowledge retrieval, memory, policy enforcement, and audit trails themselves, while also managing data sovereignty and governance concerns. This often results in AI features that are difficult to control, inspect, or align with existing business logic and compliance requirements.
Solution
LibraOS provides a self-hosted runtime that sits between an application and AI systems, adding agent execution, knowledge, memory, policy, and audit capabilities to existing software. The application owns the user experience, business workflow, and business records, while calling LibraOS through published APIs or SDKs. The runtime applies agent configuration, retrieves permitted knowledge, uses configured models and tools, persists runtime state, and returns observable outcomes. This governed layer ensures AI features are useful, controlled, and inspectable, with the application remaining responsible for how outcomes affect its own business workflow. LibraOS also offers Libra Desk, a workspace where teams can work with digital employees for tasks like finding company answers, preparing customer replies, and reviewing proposed record changes.
Target Audience
Primary customers are software teams at vertical SaaS companies, ISVs, and enterprises that want to add AI capabilities to existing products or internal workflows without building execution, knowledge, and governance components themselves. The solutions page also targets legal, compliance, operations, and customer support teams seeking to improve document review and response workflows.
Features
- Self-hosted runtime deployable on the customer's own infrastructure, with support for private cloud beta
- Public API and SDK interfaces for agent selection, request/response contracts, and capability reporting
- Governed agent execution with configurable model routing, knowledge bindings, memory scope, and policy enforcement
- Knowledge base with semantic retrieval (via SurrealDB path) and opt-in automatic indexing from v0.1.18
- Durable background jobs with progress persistence and limited restart recovery for documented workflows
- Libra Desk workspace with digital employees for knowledge assistance, customer support drafting, and sales operations proposals, each with human review checkpoints
- Source inspection capability allowing users to expand retrieved passages behind answers for verification
- Approval and execution separation with recorded outcomes for proposed actions