Olbrain — The Agent OS

Build, run and govern agent systems that work together

Specialized agent systems work toward business-wide goals and constraints, with relevant shared context, clear responsibilities and handoffs, and common governance. Each deployment defines what context may be shared, who owns each decision, when work passes between systems, and where human approval is required.

These connections are designed and validated for each deployment. A shared platform alone does not establish coordination, complete action capture or enterprise-wide learning. Workflow design is configurable; integrations, shared context, controls and cross-system behavior require engineering and validation within the agreed scope.

The aim is coordinated business outcomes: specialists carry out their responsibilities while handoffs and controls keep the wider business objective in view.

Five kinds of agent, one orchestration layer

Olbrain’s north star is compose-and-integrate — build, buy, partner, or integrate, all through one orchestration layer.

• Concierge — conversational agents (support, sales, service). Runtime live.
• Operator — workflow agents (verification, KYC, NACH, operations). Runtime live.
• Analyst — research agents that gather, reason over, and synthesize information. Runtime live.
• Orchestrator — coordinates a team of agents toward a goal.
• Designate — agents that hold a role end-to-end; humans supervise, institutional knowledge stays when people move on.

Built for AI agents to operate

Connect Codex or Claude Code to build and operate enterprise agent systems. Olbrain supplies the operating environment, trust infrastructure and integrations. Alchemist facilitates the connection. People provide business context, validate the work and supervise through Screens. Olbrain engineers support implementation where agreed. Each system has an agreed scope, acceptance criteria and operating responsibilities. See the concepts.

Shared operating foundations, scoped controls

Instructions, knowledge, tools, workflows, state and memory support scoped agent systems. The identity-bound, signed, append-only record is live and supports attribution of recorded actions. Full cryptographic continuity and exclusivity enforcement remains in development. Model changes require engineering evaluation and revalidation. The enterprise retains accountability. See capabilities and the capability record.

Identity-bound records. Enterprise accountability.

Olbrain customer data is stored and processed in India (Google Cloud, Mumbai). The platform is DPDP-aligned and built for RBI data residency, with tenant isolation, per-tenant key management, and role-based access control. Customer data is never used to train models. Security posture and certification status (SOC 2, ISO 27001 in progress) are kept honestly status-labelled on the Trust page.

Build before publication. Pay for published Agent Systems.

Standard pricing is ₹20,000 a month for each agent, Superagent or app (a Superagent’s one subscription covers all its member agents), after a 30-day trial from when it is first made live; ₹2 per message from the first message, with model cost included; workflow runs billed by the work done plus model use at cost; and ₹9,500 per Olbrain FDE day when approved. Building and testing are free. Developers building with Alchemist start with 300 free credits, then $24 a month with 2,000 credits. Prices exclude 18% GST. Olbrain for Shopify is the exception: it is billed only by Shopify, on the store’s Shopify invoice, and none of these prices apply to it. See the complete price card.