Enterprise AI Agent Orchestration

One Framework.
Agents, Tools and Orchestration.
Ready to Go.

Build, orchestrate, and extend AI agents without touching Orbit Core.

Built for every team

Four ways to use Orbit

From API-first developers to non-technical end users, Orbit meets you where you are.

Orbit Core API

For developers

Define agents, tools, graphs, swarms, and workflows programmatically through a resource-oriented REST API. Full control for engineering teams embedding AI into their own products.

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Orbit Platform

For agent builders

Create and manage agents through a visual interface. Write prompts, attach tools, chain agents into workflows, and publish, all without writing code.

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Orbit Workspace

For every team

AI-powered workspace where teams interact with published agents through a familiar conversational UI, with streaming, file uploads, and collaboration included.

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Orbit SDK

For app developers

A typed TypeScript SDK for building your own apps on Orbit. Run agents, stream replies, and manage resources from your backend.

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The paradigm shift

Agents, not nodes. Data, not code.

Agent as the Atomic Unit

In Orbit, the Agent is the single building block. An agent is an LLM with a system prompt, tools, and optional knowledge bases. Need more? Compose agents into Workflows or Swarms, or let a lead agent delegate to specialists. One building block, three orchestration patterns.

Definitions in Data

Agents, tools, and orchestrations are stored as data, not hardcoded in application logic. Define resources via API or Platform and Orbit converts them into live execution at runtime.

Extend Without Modifying

Build custom integrations as external MCP servers. Deploy them in your infrastructure, register them with Orbit, and attach them to any agent. Zero changes to Orbit Core required.

Enterprise-grade from day one

Focus on agent logic. Orbit handles the rest.

Multi-Tenancy
Tenant-isolated data, keys, and budgets, with organizations and teams inside each tenant.
Billing & Usage Tracking
LLM cost tracking, monthly budgets, AI kill switches, and exportable usage reports.
Security Profiles
PII masking, tool allow and block lists, and model guardrails on every run.
Observability
OpenTelemetry traces to your own collectors, plus a full record of every run.
Audit Logging
Agent executions, tool calls, and admin actions logged for compliance.
Knowledge Bases & RAG
Flexible retrieval options from simple context injection to managed knowledge bases.
Case Study

How Jonas Fitness Built AI-Powered Knowledge Agents

Jonas Fitness used Orbit's API to build and deploy AI agents for both internal and external knowledge base chat. Teams get instant answers from internal documentation, while customers access a public-facing AI chat for product support.

Internal knowledge base AI chat for teams
External-facing AI chat for customer support
Built and deployed using Orbit's API
RAG-powered with company documentation

Build, orchestrate, and deploy AI agents at enterprise scale.

Orbit provides the framework and tools. You bring the domain expertise and run it all on your own infrastructure.