Cycles
FreemiumPre-execution cost and risk guardrails for autonomous AI agents
By Tanmay Verma, Founder · Last verified 06 Jul 2026
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Added 7d ago
77/100Safe BetIn short
Cycles — Pre-execution cost and risk guardrails for autonomous AI agents. Best for Engineering teams deploying autonomous agents in production who need hard cost and action guardrails, SaaS platforms needing per-tenant spend isolation to prevent runaway agents from affecting other customers, Compliance officers requiring pre-execution audit trails for regulated agent workflows. Free to use.
Is Cycles actually worth it?
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Editorial Verdict
Best for
Engineering teams deploying autonomous agents in production who need hard cost and action guardrailsSaaS platforms needing per-tenant spend isolation to prevent runaway agents from affecting other customersCompliance officers requiring pre-execution audit trails for regulated agent workflowsFinOps teams enforcing hard cost caps on LLM usage without relying on post-hoc dashboardsAgent platform teams wanting to test enforcement policies in shadow mode before going live
Not ideal for
Teams who only need basic token counting or rate limiting — simpler tools exist for thatUsers looking for a fully managed SaaS solution: Cycles is self-hosted only (cloud planned but not available)Simple chatbot use cases without tool-calling or multi-step agents: Cycles is overkillTeams without DevOps capacity to self-host a Python/TypeScript stack on Docker
Cycles fills a genuine gap for teams running autonomous agents in production who need hard cost and action guardrails. Its pre-execution enforcement model is rare and valuable. But it's self-hosted only — no SaaS yet — and paid plans are contact-based, not self-serve. If you need a managed solution, consider alternatives like Helicone or LangSmith; if you only need basic rate limiting, simpler tools exist.
Skip Cycles if Skip Cycles if you need a fully managed, zero-ops solution or only basic token counting and rate limiting.
Last verified: July 2026
What's new in Cycles
Checked 3 days agoAcross the latest 5 updates: 5 changelog entries.
ChangelogChangelog·16 days agoNewest
cycles-server v0.1.25.39 released
Patch release for the Cycles runtime server. Additive changes, wire format stable within 0.1.x.
ChangelogChangelog·16 days agoNewest
cycles-server-admin v0.1.25.42 released
Patch release for the admin server component.
ChangelogChangelog·17 days ago
cycles-server-events v0.1.25.15 released
Patch release for the events service.
ChangelogChangelog·18 days ago
cycles-dashboard v0.1.25.63 released
Patch release for the admin dashboard.
ChangelogChangelog·Apr 20
cycles-mcp-server v0.2.2 released
Updated MCP server supporting Node 20+ and MCP protocol for Claude, Cursor, Windsurf integration.
What independent users actually report about Cycles
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
149 mentions across 8 sources (Hacker News, YouTube, Product Hunt, App Store, Bluesky, Stack Overflow, GitHub, Lemmy).
25% positive75% critical
Recurring strengths
- +Pre-execution budget control stops runaway agent costs cold.
- +Reserve-Commit-Deny lifecycle is an elegant solution for blast radius.
- +Open-source Apache 2.0 with Docker deploy in under 5 minutes.
- +Supports multiple LLMs and MCP for Claude, Cursor, Windsurf.
- +Verifiable audit trails via CyclesEvidence for compliance needs.
Recurring frustrations
- −Extreme name collision makes finding real reviews nearly impossible.
- −No managed cloud yet; self-hosting required for now.
- −Community very small; hard to know if tool is production-ready.
- −Product Hunt comments hint at feature gaps (ajax, sticky nav).
- −Support availability and quality are unverified by users.
Patterns worth knowing
Name ambiguity drowns out actual product discussion
Seen on Hacker News, YouTube, App Store, Bluesky, Stack Overflow, GitHub, Lemmy
Concept is praised by early adopters but longevity doubted
Seen on Product Hunt
Integration and API gaps (ajax pages, Trello, support widget)
Seen on Product Hunt
Learning curve
intermediateProductive in ~5 minutes
Hidden costs people mention
- • Self-hosting requires DevOps time and infrastructure
- • Paid support plans have no public pricing
Viability Score
77/100
Safe BetHow likely is Cycles to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
momentum
55
funding runway
80
website health
90
wrapper dependency
100
Last calculated: July 2026
How we score →Key Features
- Pre-execution budget reservation via Reserve/Commit/Deny lifecycle
- Per-action cost caps with TTL, grace period, and extend semantics
- RISK_POINTS scoring for tool-level blast radius control
- Multi-tenant budget isolation with shared pool support
- Shadow mode and dry run for policy testing without blocking
- Verifiable audit evidence via CyclesEvidence envelopes
- Webhook event delivery with scope-filtered notifications
- Tenant-close cascade to prevent cross-account contamination
- Configurable overage policies and debt management
- Integration with OpenAI, Anthropic, AWS Bedrock, Google Gemini, Groq, Ollama
- MCP server support for Claude Desktop, Claude Code, Cursor, Windsurf
- SDKs for Python, TypeScript, Java/Spring, Rust
- Admin API and interactive protocol reference
- Prometheus metrics and monitoring
- Docker-based deployment in under 5 minutes
About Cycles
FreemiumIntermediateAPI availableAPI · CLI · Plugin
Cycles is a self-hosted runtime authority platform that gives developers pre-execution control over AI agent costs, tool calls, and blast radius. Unlike traditional rate limiters or post-hoc observability tools, Cycles intercepts every agent action (LLM completions, tool calls, API requests) and enforces budgets, risk policies, and tenant isolation before anything executes. It integrates via a simple decorator or SDK (Python, TypeScript, Java/Rust) or through MCP for Claude, Cursor, and Windsurf. The core mechanism is a Reserve–Commit–Deny lifecycle. Cycles also provides verifiable audit trails (CyclesEvidence), shadow mode for dry runs, and interactive calculators for cost and blast radius. It integrates with major LLM providers and AI frameworks. Deployment is Docker-based in under 5 minutes. Cycles is Apache 2.0 open-source with paid support plans. A managed cloud (runcycles.ai) is planned but not yet available.
Behind the Verdict
Cycles addresses a real pain point: runaway agent costs and risky tool calls that post-hoc observability can't prevent. The Reserve–Commit–Deny lifecycle and RISK_POINTS system give granular control. Multi-tenant isolation and shadow mode are well-designed for production scaling. The docs are thorough, and the 5-minute Docker deploy is realistic. However, Cycles is self-hosted only — no managed cloud yet — which limits adoption for teams without DevOps capacity. Paid plan pricing is not transparent, requiring a sales call. It may be overkill for simple chatbots or teams that just need token counting. The open-source Apache 2.0 license is a plus, but advanced multi-tenant features and SLA support likely require a paid plan.
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Real-world workflow fit
Concrete scenarios for the personas Cycles actually fits — and what changes day-one when you adopt it.
FinOps engineer at a multi-tenant agent SaaS
Set per-tenant LLM budgets to prevent one customer's runaway agent from exhausting the shared API key budget.
Outcome: Tenant #47's research loop is capped at its own budget; other tenants' agents run uninterrupted.
Agent platform engineer evaluating guardrails
Run Cycles in shadow mode against production traffic to calibrate RISK_POINTS for email-sending tools without blocking anything.
Outcome: Safe dry-run period reveals which workflows would trigger false positives; policy tuned before live enforcement.
Use Cases
- Cap agent costs per run to prevent runaway spend ($4,200 incidents in minutes)
- Block dangerous tool calls (e.g., sending email, deleting resources) before execution
- Isolate AI costs per tenant in a multi-tenant SaaS platform to prevent one tenant exhausting shared budget
- Provide verifiable audit evidence (CyclesEvidence) for compliance with regulations like EU AI Act or SOC 2
- Run shadow mode to test budget and risk policies without actually blocking actions, then graduate to enforcement
- Prevent retry storms and concurrent overspend across multiple agents
Models Under the Hood
GPT-4oClaudeGeminiGroqOllama
as of 2026-07-06
Limitations
- Cycles is self-hosted only; no managed cloud version is available yet.
- Pricing for the commercial 'Design Partner' tier is opaque and requires contacting sales.
- The open-source version may lack advanced multi-tenant features and SLA support without a paid plan.
- There is no free managed tier.
as of 2026-07-06
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Annual total
Free
Over 12 months
Effective monthly
Free
Billed monthly
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Cycles tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Open Source (Apache 2.0)
$0/mo
Ideal for
Teams with DevOps capacity who want to self-host Cycles for free and are comfortable with community support.
What this tier adds
Free entry point – full self-hosted deployment with Reserve/Commit/Deny lifecycle, multi-tenant isolation, shadow mode, and Prometheus metrics, but no SLA or priority support.
Design Partner
Contact for pricing
Ideal for
Teams piloting Cycles in production who need direct access to the founding team for architecture review and incident support.
What this tier adds
Adds priority support, architecture review, implementation guidance, incident support, and early roadmap access compared to the open-source tier.
Compliance Evidence Package
Contact for pricing
Ideal for
Regulated enterprises that need signed audit evidence (CyclesEvidence exports) and control-narrative support for SOC 2 or EU AI Act compliance.
What this tier adds
Provides signed CyclesEvidence exports, audit-readiness review, evidence retention, and regulatory compliance assistance on top of Design Partner support.
Integrations
OpenAIAnthropicAWS BedrockGoogle GeminiGroqOllamaLangChainLangGraphVercel AI SDKSpring AILlamaIndexCrewAIPydantic AIAutoGenOpenAI AgentsMCPNext.jsExpressDjangoFlaskFastAPIRust
Where the pricing makes sense
The company stage and team size where Cycles's pricing actually pencils out — and where peers do it cheaper.
Cycles is free to self-host under Apache 2.0, making it cheaper than many gateways that charge per-call percentages. For teams with DevOps capacity, it offers strong cost control without ongoing SaaS fees. However, if you need managed support, alternatives like Helicone or LangSmith may have more transparent pricing.
Setup time & first value
How long it actually takes to get something useful out of Cycles — broken out by persona, not the marketing-page minute.
5-minute Docker deploy for the full stack. Adding a @cycles decorator to a single LLM call takes about 10 minutes. Wrapping a tool call adds about 30 minutes. Shadow mode rollout takes 1+ day to observe real traffic patterns before going live.
Switching to or from Cycles
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Migrating in
- →From custom rate limiters: replace token counters with Cycles' Reserve/Commit/Deny lifecycle using one of the SDKs.
- →From LangSmith monitoring: add Cycles decorators to your agent functions and run in shadow mode to compare cost data before switching enforcement.
- →From Helicone observability: migrate by adding Cycles middleware and configuring per-agent budgets, then disable Helicone after validating enforcement.
Migrating out
- ↗To Helicone: remove Cycles decorators and switch to Helicone's proxy-based cost tracking (post-hoc only, no pre-execution enforcement).
- ↗To LangSmith: drop Cycles SDK calls and use LangSmith's tracing for observability, but lose pre-execution deny capability.
- ↗To custom rate limiter: extract budget and policy logic from Cycles config into your own middleware (more work, less completeness).
Resources & Guides
- Documentationruncycles.io
Docs · Cycles
Full product docs from runcycles.io
- Documentationruncycles.io
How To Guides · Cycles
Full product docs from runcycles.io
- API Referenceruncycles.io
Reference · Cycles
Methods, params, types from runcycles.io
- Documentationruncycles.io
Operations · Cycles
Full product docs from runcycles.io
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