What problem does Cycles solve for autonomous AI agents?
Cycles is a runtime authority tool that stops runaway agent spend and risky actions before they execute. It acts as a pre-execution gate on cost, risk, and tool actions to prevent incidents like a $4,200 cost runaway or a prompt regression causing unintended email sends.
In what situations is Cycles used?
Cycles is used to gate budget, risk, and action authority across an AI stack before an action runs. It is specifically demonstrated for stopping cost runaways, preventing unintended actions like sending customer emails, and isolating customers in multi-tenant systems.
Who is the target audience for Cycles?
Cycles is primarily for developers building and managing autonomous AI agent systems. The product provides developer tooling for AI agent infrastructure, focusing on cost and risk control.
What features, surfaces, or integrations does Cycles offer?
Cycles offers a self-hosted, open protocol (Apache 2.0) runtime authority. It provides pre-execution gating, 4 SDKs, durable recovery, and a shared reserve with a 34ms p99 latency. It integrates with a wide range of stacks including OpenAI, Anthropic, LangChain, Vercel AI, MCP, and many others.
How is Cycles priced or packaged?
Cycles is offered as an open-source tool under the Apache 2.0 license. It is described as self-hosted, indicating it is a deployable software component rather than a hosted service with a subscription fee.
What is Cycles?
Cycles is a runtime authority for autonomous AI agents. It is an open-source, self-hosted tool (Apache 2.0) that provides pre-execution gating on cost, risk, and tool actions to prevent agent misbehavior.