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Harsh Desai

Reviewed by Harsh Desai · Last reviewed:

Cycles

An open-source runtime that stops agent cost runaways and risky actions before they happen

AI AgentsOpen Source7.8/10

Best for

AI DevelopersAgent BuildersSaaS TeamsEnterprise AI Ops

What does Cycles do?

  • Hard spend caps stops runaway agent spend before next action with limits like capping $10 at $1.
  • Risky action gates blocks dangerous moves such as customer emails using allow or block decisions.
  • Signed audit ledger produces verifiable records showing pre-execution authority for every decision.
  • Multi-tenant isolation keeps customer budgets separate so one runaway never blocks others.
  • Apache 2.0 license fully open source with no prompt storage and free self-hosting.
  • Broad integrations works with OpenAI, Anthropic, LangChain, LangGraph, Vercel AI, MCP and AWS Bedrock.
  • Python and JS SDKs install via 15709+ package downloads and route calls through the runtime.
  • Per-run budget rules enforces custom caps on each agent execution to limit blast radius.
  • Compliance evidence generates signed ledgers that prove governance for audits and reviews.
  • Demo proven results real demos show blocking risky actions and cutting runaway costs instantly.
  • Runtime Authority Self-hosted runtime enforces autonomous agent controls stopping runaway spend before the next action executes.
  • Pre-Execution Gates Gates risky actions with allow or block decisions across OpenAI Anthropic and LangChain before any execution occurs.
  • Signed Audit Ledger Produces signed audit ledger showing pre-execution authority with 15709+ package installs validating production readiness.
  • Tenant Isolation Isolates customers in multi-tenant setups preventing shared budget blocks while capping $10 runaway spend at exactly $1.

Pricing:

  • Open-source $0/mo: free self-hosted Apache 2.0 version with full source code.
  • Self-hosted enterprise $0/mo: custom policy setup and internal maintenance at no license fee.
  • Community support $0/mo: access public docs, GitHub clones and integration examples.

What are Cycles's limitations?

  • Self-hosting required you must run and maintain the runtime on your own infrastructure.
  • Custom rules needed policy and budget settings must be defined for each specific use case.
  • No managed SaaS there is no cloud-hosted option available from Cycles.
  • Routing overhead every agent call must route through the Cycles runtime for control.

Our Verdict

For the Vibe Builder, Cycles acts as the invisible guardian that keeps your creative AI experiments from spiraling into runaway token bills while you chase that perfect vibe. It lets you define policy and budget rules tailored to each wild use case so your agents stay on-mission without draining resources on endless loops or off-topic tangents. The open-source Apache 2.0 foundation means you own the runtime completely and can shape it into whatever artistic control layer your next build demands. Self-hosting gives total freedom to embed spend caps and action limits directly into the generative flow that defines your signature style.

For the Developer, Cycles provides a lightweight runtime that intercepts and governs every agent call by routing requests through its policy engine before they reach the model. You implement per-use-case budget and behavior rules in code then let the self-hosted service enforce them at runtime without adding heavy external dependencies. Because it is free and Apache 2.0 licensed the only ongoing cost is the infrastructure you already manage which keeps CI pipelines and production deployments simple. Integration is straightforward yet requires you to redirect all agent traffic through the Cycles proxy layer so every action stays within declared limits.

One honest limitation is the mandatory self-hosting and ongoing maintenance burden combined with the complete absence of a managed cloud or SaaS tier which makes adoption slower for teams that prefer turnkey solutions. Setup involves configuring routing for every agent call and keeping the runtime updated which can distract from core feature work. Overall the project earns a 7.8/10 because it delivers precise control for those willing to invest the operational effort but lacks the polish and convenience many modern stacks expect.

Skip it if you need a fully managed service or hate maintaining yet another self-hosted component and consider Helicone instead for effortless observability and spend tracking without changing your agent routing.

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Frequently Asked Questions

What is Cycles runtime for AI agents?

Cycles is an open-source runtime designed specifically for deploying, monitoring, and governing AI agents at scale. It provides built-in tools for policy enforcement, observability, and secure execution environments so developers can run agents without worrying about compliance or drift. The platform supports both local self-hosting and enterprise setups under Apache 2.0 licensing.

Is Cycles free to use?

Yes, Cycles is free to use with its open-source tier that includes the complete runtime and governance features. You can self-host it immediately without any license costs or usage limits on the free plan. This makes it accessible for individuals, startups, and teams experimenting with agent workflows.

Who should use Cycles for agent governance?

Enterprise security teams and AI platform owners who need strict policy controls, audit logs, and custom guardrails should use Cycles for agent governance. It is especially useful for organizations running multiple autonomous agents that must stay within defined operational boundaries. The self-hosted nature gives full data sovereignty while still delivering production-grade oversight.

How does Cycles pricing work in 2026?

Cycles pricing works in 2026 with an open-source option at $0/mo that delivers the full source code for self-hosting, a self-hosted enterprise plan at $0/mo focused on custom policy setup and internal maintenance with no license fee, and community support also at $0/mo that includes public docs, GitHub clones, and integration examples. The company Cycles offers all of these at no cost so users avoid vendor lock-in. You simply run it on your own infrastructure and pay only for your cloud resources.

Cycles or Helicone which should I choose as an alternative?

Choose Cycles if you want a fully self-hosted, open-source runtime focused on governance policies and agent isolation. Helicone is better suited for lightweight observability and request tracing without the heavy policy engine. Most teams evaluating both end up using Cycles when compliance and runtime control are the top priorities.

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