LibraOS
AI runtime that sits between a customer's application and its AI systems, adding agent execution, knowledge retrieval, memory, policy and audit; the runtime and Python SDK are free to self-host for personal development and up to 90 days of organisational evaluation, scoped assisted pilots start at US$3,000 one-time, and production, private-cloud and air-gapped licences are custom; a hosted Cloud is in private beta.
What it does
- Agent orchestration
- Knowledge retrieval
- Guardrails and safety
Features 4
- One governed runtimeKnowledge, memory, execution, policy and audit between the product and AI systems.
- Self-hostedRuns on the customer's infrastructure.
- Human oversightPolicies, human approvals and audit support oversight.
- SDK and APIsApplications call agents through the Python SDK or native HTTP APIs.
Sources
- Pricing
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Pricing page: Developer Free (runtime and SDK, self-hosted, up to 90 days of evaluation per organisation), Assisted Launch from US$3,000 one-time, Enterprise custom; inference is billed separately.
- Description
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Official documentation · 19 Oct 2026
Home page: "Add agent execution, knowledge, memory, policy, and audit to the software you already build."
- What it does
-
Official documentation · 19 Oct 2026
Home page: "Add agent execution, knowledge, memory, policy, and audit to the software you already build."
- Sold within
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Free self-hosted developer tier and a published pilot price on the pricing page; production licences by contact.
- Name
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Official documentation · 19 Oct 2026
Name as published on the product page.
- URL
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Official documentation · 19 Oct 2026
Product page, read 2026-10-19.
- Deployment
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Official documentation · 19 Oct 2026
Pricing page: runs on the customer's infrastructure, with private, VPC or air-gapped deployment under an enterprise licence; Cloud is a separate private beta.
- Interfaces
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Official documentation · 19 Oct 2026
Docs: a Python SDK, native HTTP APIs and a CLI; the Libra Desk web workspace is built on the runtime.
Open Nebula Nova in the directory
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