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Run Claude Code, Codex and six more agent harnesses through one API

AgentSky is a cloud API that runs agent harnesses such as Claude Code and Codex against a choice of eleven models.

AI Panel Score

8.1/10

6 AI reviews

Reviewed

What is AgentSky?

AgentSky is a cloud API that runs agent harnesses such as Claude Code, Codex and Hermes against a choice of eleven models through a single key. It suits teams that want agents inside their own product without operating the machines behind them, and developers who already run an agent locally and want it in the cloud. There is no subscription and no seats: prepaid credits are drawn on two meters, model tokens at provider list prices with no markup, from $0.44 to $10.00 per million input tokens, and compute from $0.021 to $0.071 per awake hour, with $3 of credit to start. Sessions persist between messages and suspend when idle, channels include Slack, Telegram, Discord and a plain web API, and one sky clone command lifts a local agent with its MCP servers into the cloud. TopReviewed's six-seat AI review panel scored it 8.1/10, praising the published rate card while noting the absence of a security or SLA page.

About AgentSky

Getting started is three steps: create an account with no card, take the one API key that covers every agent and model, then name the agent and the model in your request. A playground lets you pick a harness and start working without writing the call yourself, and you can hand an agent real work - connect a GitHub repo, forward an email, upload files - rather than a toy prompt. Channels are parameters on the same call, so the agent can be reached from a web API, Slack, Telegram, Discord, WhatsApp, iMessage, a CLI, or the A2A protocol.

Eight harnesses are supported - Claude Code, Codex, Hermes, OpenClaw, pi, DeepSeek Harness, Kimi Code and opencode - against eleven models, and swapping either is a change to the request rather than a rebuild. Add-ons ride on the same call: search and web fetch, a browser, SEO and SERP data, image generation, background removal, video generation, image-to-video and transcription, plus connectors for Gmail, Notion, Slack and around 2,000 other apps. A "sky clone" command copies an agent you already run locally - instructions, model and MCP servers - into the cloud, and if you already pay for Claude Pro, Claude Max or ChatGPT you can connect that subscription so eligible agents run at $0 model usage. Agent Arena ranks harness-model pairs by Elo from head-to-head wins on 40,835 real tasks recorded between May and August 2026.

This is aimed at teams who want agents inside their product without running the machines: the site publishes three customer stories - Tycoon at 150,000 agents launched, HeyBoss AI at 250,000, WebJourney at 50,000-plus - each describing agents their own users interact with. The vendor positions itself as "the OpenRouter for agents". Pricing is prepaid credits with no subscription and no seats: model usage is itemised per turn at list price (from $0.15 per million input tokens on GLM-5.3-Flash up to $10.00 on Claude Fable 5.1), and compute runs $0.117 to $1.066 per awake hour by machine size, with the default 2 vCPU / 4 GB machine at $0.331. Suspended and parked agents cost nothing.

Features

AI

  • Built-in agent tools

    Enables search and web fetch, a browser, SEO and SERP data, image generation, background removal, video generation, image-to-video and transcription as parameters on the agent call.

Analytics

  • Agent Arena benchmarks

    Ranks harness and model pairs by Elo from head-to-head results on 40,835 real tasks recorded between May and August 2026.

  • Itemised per-turn usage

    Breaks billing down to the turn across two meters, model tokens and compute seconds, visible per agent.

Core

  • Agent Playground

    Starts an agent from the browser by picking a harness and model, with GitHub repos, forwarded email or uploaded files as input.

  • Bring your own subscription

    Connects an existing Claude Pro, Claude Max or ChatGPT plan so eligible agents run at $0 model usage.

  • Eight agent harnesses

    Runs Claude Code, Codex, Hermes, OpenClaw, pi, DeepSeek Harness, Kimi Code and opencode as cloud agents.

  • Eleven-model router

    Pairs any supported harness with one of eleven models, including Claude Opus 5, GPT-5.6 Sol, DeepSeek V4 Pro and Kimi K3.

  • Persistent agent sessions

    Keeps each agent on its own cloud machine so state survives between messages, with crashes and reconnects handled by the platform.

Infrastructure

  • Automatic suspend and wake

    Suspends an idle agent so no compute is billed, then wakes it on the next message.

Integration

  • Agent channels

    Exposes an agent through a web API, Slack, Telegram, Discord, WhatsApp, iMessage, a CLI or the A2A protocol.

  • App connectors

    Connects agents to Gmail, Notion, Slack and around 2,000 other applications.

  • Single API key

    Uses one key for every agent and model, with the choice named as parameters in the request.

Workflow

  • sky clone

    Copies an agent already running locally into the cloud with its instructions, model and MCP servers in one command.

Preview

AgentSky desktop previewAgentSky mobile preview

Pricing Plans

Pay as you go

Contact sales

No subscription and no seats. Prepaid credits are drawn on two meters: model tokens at each provider's published rate, and compute per second while the agent machine is awake. Creating an account requires no card.

  • Model usage from $0.15 to $10.00 per 1M input tokens depending on model
  • Compute $0.133/hr (1 vCPU / 1 GB), $0.166/hr (1 vCPU / 2 GB), $0.331/hr (2 vCPU / 4 GB default)
  • Suspended or parked agents are not billed for compute
  • Agent harness itself is free
  • Credit top-ups add Stripe fees of 2.9% + $0.30
  • Paid capabilities and connectors billed per use (e.g. browser $0.03/min, connector call $0.029)

Bring your own subscription

Contact sales

Connect an existing Claude Pro, Claude Max or ChatGPT plan once and eligible agents run at $0 model usage, leaving only the per-second compute meter.

  • $0 model usage on eligible agents
  • Compute still billed per second
  • Same API and agent selection

AI Panel Reviews

The Decision Maker

The Decision Maker

Strategic bet, vendor viability, timing, adoption approval
8.3/10

One key, eight agent harnesses, and a rate card at list price. Easy pilot to approve.

AgentSky rents the machine and the plumbing so your team stops maintaining either. The billing model is unusually legible for this category.

Two meters, both published. Model tokens at provider list prices with zero markup, compute at $0.117 to $1.066 per awake hour, $0.331 on the default machine. No seats, no subscription, no minimum. That is a pilot finance can approve in a meeting.

What you're buying is optionality. Eight harnesses, eleven models, and switching either is an argument in a request rather than a rebuild. Three named customers describe agents their own users touch, at 150,000 and 250,000 agents launched. Vendor-stated, but specific enough to check.

The exposure is upstream. Every harness here is somebody else's open-source project and every model somebody else's API. If a provider reprices, so does your invoice. Run one production workload for a quarter and watch what the compute meter actually does before moving anything critical.

Competitive Positioning8.5

The vendor calls itself the OpenRouter for agents, and routing across eight harnesses rather than models is a genuinely different product.

Reputation Risk7.0

No compliance page or SLA, and data handling is a single FAQ line promising zero retention only on enterprise plans, which matters if customer data passes through the agents.

Speed to Value9.0

Three steps to a running agent, no card at signup, and an existing local agent can be cloned up with one command.

Strategic Fit8.5

Removes agent infrastructure from our roadmap entirely rather than shaving cost off something we already run.

Vendor Viability7.5

Docs, a playground, a published benchmark over 40,835 tasks and three named case studies point to a shipping product, though the company itself is new.

Pros

  • Published rate card at each provider's published rate
  • Eight harnesses and eleven models behind one key
  • No seats, subscription or minimum spend
  • Existing local agents clone into the cloud in one command

Cons

  • Every harness and model is an upstream dependency
  • No compliance page or SLA; data handling is one FAQ line
  • Company is early with no funding or headcount disclosed

Right for

Teams that want agents in production without running machines.

Avoid if

Regulated data has to pass through the agent.

The Domain Strategist

The Domain Strategist

Craft and strategy in the product's domain — adapts identity per category, same lens
8.4/10

Routing at the harness layer, not the model layer, is the bet worth understanding here.

Most gateways abstract models. AgentSky abstracts the agent loop above them, which changes what your product depends on.

The interesting decision is where the abstraction sits. A model gateway swaps weights behind one endpoint; this swaps the whole harness — Claude Code, Codex, Hermes, opencode — while keeping the session, the tools and the channel intact. If we build on it, our dependency becomes the request shape, not any single agent project.

Architecturally the state story carries the weight. Each agent gets a persistent machine that suspends when idle and wakes on the next message, so crash handling and reconnects sit on their side of the line. Add-ons ride the same call: browser, search, transcription, roughly 2,000 app connectors.

The three-year question is upstream drift. Harnesses evolve independently and a benchmark spanning May to August 2026 is a snapshot, not a trend.

Category Positioning8.5

Sits a layer above the model gateways it borrows its framing from, which is a defensible spot while harness choice keeps multiplying.

Domain Fit8.5

Persistent machines that suspend and wake match how agent workloads actually behave — long idle periods punctuated by bursts.

Integration Surface9.0

Web API, Slack, Telegram, Discord, WhatsApp, iMessage, CLI and A2A as call parameters, plus Gmail, Notion, Slack and around 2,000 connectors.

Long-term Implications7.5

The dependency taken on is the request shape, but every harness underneath evolves on its own schedule and outside the vendor’s control.

Strategic Depth8.5

Abstracting the harness rather than the model, with session, tools and channel preserved across a swap, is a deliberate and unusual architectural line.

Pros

  • Harness-level abstraction keeps sessions, tools and channels across a swap
  • Platform owns crash handling, reconnects and state
  • Channels and tools are parameters rather than integrations you build
  • Published Elo benchmark over 40,835 real tasks

Cons

  • Upstream harnesses evolve outside the vendor’s control
  • Benchmark covers a single three-month window
  • No architecture or security documentation published

Right for

Teams whose product embeds agents its users interact with.

Avoid if

You have already standardised on one harness and one model.

The Finance Lead

The Finance Lead

Money, total cost of ownership, contracts, procurement math
8.3/10

$0.331 an hour sounds small until the machine never sleeps and compute alone hits $238.46 a month.

Two published meters, and compute is a fifth of the vendor's own monthly estimate. Suspend discipline, not the contract, is what holds the number down.

Same machine, two very different invoices. The default 2 vCPU / 4 GB bills $0.331 an hour. At the vendor's estimate — 20 turns a day, two hours awake — that is $19.87 a month against $78.00 of model spend. Never suspend it and compute alone is $238.46.

That is $97.87 a month for one agent, $11,744 a year for ten. Model tokens run at each provider's list rate, $0.15 per million input on GLM-5.3-Flash up to $10.00 on GPT-6 Astra. Compute spans $0.117 to $1.066 an hour.

The estimator counts two meters. Capabilities are a third — browser at $0.03 a minute, connector calls at $0.029, image generation at $0.422 an asset. Bring Your Own Subscription zeroes the model meter on eligible agents. But top-ups still carry Stripe's 2.9% plus $0.30, and nothing here is contractual: the bill tracks your suspend discipline.

Billing & Procurement7.5

Self-serve prepaid credits start instantly but offer no invoicing or payment terms, which some procurement processes will not accept.

Contract Flexibility8.5

Prepaid credits with no subscription, seats, minimum or renewal window to negotiate out of.

Pricing Transparency9.5

Token rates, all fifteen machine rates, per-use capability prices and the card processing fee are published without a sales call.

ROI Clarity7.5

Usage is itemised per turn, so cost per outcome is measurable, but no vendor ROI model or benchmark against self-hosting is published.

Total Cost of Ownership8.0

Both meters are computable per agent, but an always-on default machine is $238.46 a month before any model tokens.

Pros

  • Model tokens billed at each provider's published rate, $0.15 to $10.00 per 1M input
  • Compute billed only while awake, with suspended and parked agents at zero
  • Card processing fee published on the pricing page, not discovered at checkout
  • Existing Claude or ChatGPT plans cut model usage to $0 on eligible agents

Cons

  • Prepaid credits only, no invoicing or payment terms
  • Top-ups add Stripe's 2.9% plus $0.30 to every credit purchase
  • An always-on default machine costs $238.46 a month before a single token

Right for

Teams that can enforce a suspend policy on every agent.

Avoid if

Budget owners who need a fixed monthly cost per agent.

The Domain Practitioner

The Domain Practitioner

Daily hands-on reality in the product's domain — adapts identity per category, same lens
8.0/10

sky clone lifts a local agent into the cloud with its MCP servers intact

The workflow is shaped like something the team actually uses. The gaps show up around what happens when a run goes wrong.

One command clones the agent you already run locally — instructions, model, MCP servers — into the cloud. That's the tell. Whoever built it moves agents between machines often enough to hate doing it by hand.

Day-to-day the shape is good. Sessions persist between messages, suspend on idle and wake on the next one, so you're not writing reconnect logic. Usage is itemised to the turn across both meters, which is what you need at 2am when one agent's bill looks wrong. Channels are parameters, so putting the same agent in Slack and behind an HTTP endpoint isn't two integrations.

What's missing is failure detail. Restart behaviour is documented as managed recovery to the latest durable point, not zero-loss, but retry and timeout semantics are absent, and there is no changelog. You'll find those boundaries yourself.

Day-3 Reality8.0

Persistent sessions and automatic suspend remove the two chores — reconnects and idle cost — that usually land on the caller.

Documentation Practitioner-Fit7.5

Docs, a playground and a published benchmark exist, but nothing published covers operational edges.

Friction Surface7.5

Failure semantics — retries, timeouts, what happens on restart — are not documented beyond a one-line FAQ on restart recovery, so early debugging is exploratory.

Power-User Depth8.5

Eight harnesses, eleven models, built-in browser and transcription tools and A2A support leave room well past the first use case.

Workflow Integration8.5

Cloning a local agent with its MCP servers in one command means the cloud version starts from the setup you already trust.

Pros

  • One-command clone of a local agent, MCP servers included
  • Sessions persist and suspend without caller logic
  • Per-turn itemised usage across both meters
  • Same agent reachable from Slack, CLI or an HTTP endpoint

Cons

  • Restart is documented; retry and timeout semantics are not
  • No changelog to track platform behaviour
  • Debugging a bad run relies on your own instrumentation

Right for

Engineers already running agent harnesses locally.

Avoid if

You need documented operational guarantees before shipping.

The Power User

The Power User

Daily human experience, onboarding, polish, learning curve, reliability
7.8/10

No card, no subscription, and a playground that starts an agent before you write any code.

Trying it costs almost nothing and the first agent takes minutes. Where it gets murky is knowing what you have spent.

No card is requested at signup, and the playground is enough to run something real rather than a hello-world. The playground lets you pick a harness and a model from a dropdown and start, and you can hand it a GitHub repo or a forwarded email instead of a toy prompt. That's a better first ten minutes than most developer tools manage.

The billing page does something I wish more products did: it tells you the card fee. $100 of credit costs $103.30. Nobody hides that well and this one just says it.

What nags is the two-meter model. Tokens and awake seconds are both perfectly reasonable and together they're two things to keep in your head. The estimator helps. It's still arithmetic you didn't have before.

Daily Polish8.0

The pricing page carries an estimator with model, machine size and turns per day as inputs, and discloses the card processing fee.

Learning Curve7.5

Starting is easy, but two billing meters and a choice between eight harnesses is more to hold than a single-model API.

Mobile Parity7.0

No mobile app is described, though agents are reachable from WhatsApp, Telegram and iMessage, which covers the phone case differently.

Onboarding Experience9.0

No card at signup, a three-step flow and a playground that accepts a GitHub repo or forwarded email as the first task.

Reliability Feel7.5

The platform states it handles crashes, reconnects and state, but no status page or uptime figure is published.

Pros

  • No card required to start
  • Playground works before you write a line of code
  • Card processing fee stated plainly
  • Reachable from WhatsApp, Telegram and iMessage

Cons

  • Two billing meters to keep track of
  • No status page or uptime figure
  • Choosing among eight harnesses takes homework

Right for

Curious people who want an agent running today.

Avoid if

You want one flat monthly number and no meters.

The Skeptic

The Skeptic

Contrarian. Watch-outs, deal-breakers, broken promises, category patterns
7.5/10

Rate card is honest to the cent. Everything about the vendor itself is thinner.

The pricing page is the most credible thing here, and it is genuinely good. What is missing is any operational or security story.

Credit where it's due. Zero markup on models, per-second compute, the Stripe fee disclosed. Vendors who plan to make money on opacity don't publish that.

What's absent is louder. No security page. No SLA. The data-handling answer is two sentences long — state kept to run and recover an agent, zero retention only on enterprise plans — and there is no security page or SLA behind it. The customer numbers — 150,000 agents launched, 250,000 — are vendor-stated with no way to check them, and 10K+ sessions in production is a phrase, not a metric.

Exit is fine, which surprised me. The harnesses are other people's open-source projects and the models are public APIs, so leaving means running what you already run somewhere else. That's real portability. The lock-in is convenience, not format.

Competitive Differentiation7.5

Harness-level routing is a real gap in the market, but the vendor’s own OpenRouter framing invites a comparison it has not yet earned.

Exit Portability8.5

The harnesses are open-source projects and the models are public APIs, so leaving means self-hosting what you already use.

Long-term Viability6.5

Docs, a playground and an active benchmark show maintenance, but there is no security page, SLA or status page anywhere on the site.

Marketing Honesty8.0

The pricing page publishes list-price token rates, per-second compute and the card fee, which is the opposite of the usual pattern.

Track Record Match7.0

Named harnesses and models are verifiable, but the customer volumes and the 10K+ sessions figure are vendor-stated with nothing behind them.

Pros

  • Pricing published to the cent, including fees
  • Leaving means running open-source harnesses yourself
  • Benchmark methodology stated with task counts and dates

Cons

  • No security page or SLA; data handling is one FAQ line
  • Customer figures are unverifiable
  • No status page for a product that runs your machines

Right for

Teams comfortable running an early vendor in a non-critical path.

Avoid if

You need a security review before agents touch your data.

Buyer Questions

Common questions answered by our AI research team

Pricing

How much does AgentSky cost?

There is no subscription and no seats. You prepay credits and are billed on two meters: model tokens at provider list prices, from $0.15 to $10.00 per million input tokens, and compute from $0.117 to $1.066 per awake hour ($0.331 on the default 2 vCPU / 4 GB machine).

Features

Which agents can I run on AgentSky?

Eight harnesses: Claude Code, Codex, Hermes, OpenClaw, pi, DeepSeek Harness, Kimi Code and opencode. Each pairs with any of eleven models, including Claude Opus 5 and GPT-5.6 Sol.

Pricing

Can I use my existing Claude subscription?

Yes. Connecting a Claude Pro, Claude Max or ChatGPT plan lets eligible agents run at $0 model usage, leaving only the per-second compute meter to pay for.

Features

Does an AgentSky agent keep state between messages?

Yes. Each agent runs on its own persistent cloud machine that holds state across messages, suspends automatically when idle and wakes on the next message.

Setup

Can I move a local agent to the cloud?

Yes. The sky clone command copies an agent you already run locally, with its instructions, model and MCP servers, into the cloud on the same API.

Integration

How do I connect an agent to Slack?

Channels are parameters on the agent call. AgentSky supports a web API, Slack, Telegram, Discord, WhatsApp, iMessage, a CLI and the A2A protocol.

Pricing

Is there a free trial of AgentSky?

You can create an account with no card required, but there is no permanently free tier: usage draws on prepaid credits.

Product Information

  • Company

    AgentSky
  • Pricing

    Usage-based
  • Free Trial

    Available

Platforms

web

About AgentSky

AgentSky is a US-based cloud platform, operated by HeyMall, Inc., that runs eight AI agent harnesses and a dozen models through a single API with persistent sessions.

Resources

Documentation
API

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