Castari provides a managed platform for deploying Claude Agent SDK agents, offering one‑click deployment, auto‑scaling isolated sandboxes, and built‑in observability with real‑time logs and execution metrics. It includes a model‑router that enables the same agent code to run on Claude, OpenAI, xAI, or other compatible models, and a centralized permission gateway for secure API and tool access. Customers are billed only for the compute resources their agents consume.
Funding
Funding not disclosed
Founders
Product
Problem
Developers building Claude Agent SDK agents must provision containers, configure secure runtimes, implement auto‑scaling, and set up logging and monitoring pipelines. Managing this infrastructure manually adds DevOps overhead, delays time‑to‑market, and introduces security and reliability risks for production‑grade agents.
Solution
Castari offers a managed deployment platform that abstracts the entire operational stack for Claude Agent SDK agents. With a single CLI command or Git integration, agents are packaged into isolated sandboxes that auto‑scale based on request volume, eliminating the need for custom orchestration. The platform streams real‑time logs, tool‑call traces, and execution metrics to a built‑in observability console, enabling developers to debug and iterate directly on production data. A model‑router layer lets the same agent code run on Claude, OpenAI, xAI, or any compatible model without code changes. Secure, per‑execution sandboxes and a centralized MCP gateway provide fine‑grained permission control for external APIs and tools. Compute usage is billed on a pay‑as‑you‑go basis, so customers only pay for the resources their agents actually consume.
Target Audience
The primary customers are software engineers and product teams building production AI agents with the Claude Agent SDK, including enterprises in data processing, finance, customer support, and research domains that require scalable, secure agent execution.
Features
- One‑click deployment via `cast deploy` CLI or automated GitHub integration
- Auto‑scaling isolated sandboxes that support long‑running agents (hours‑to‑days)
- Built‑in observability: real‑time log streaming, tool‑call tracing, and execution dashboards
- Model‑router supporting Claude, OpenAI, xAI, open‑source models, and custom providers without code modifications
- MCP gateway for centralized API/tool permission management across all agents
- Secure runtime isolation with sandbox providers and end‑to‑end encryption
- Immediate REST API and SDK endpoints for each deployed agent
- Usage‑based pricing model charging only for compute consumed, free during beta