Cyberdesk
Cyberdesk is a computer-use agent that automates legacy Windows desktop apps — EHRs, ERPs, and portals — through plain-English workflows triggered from your
If your bottleneck is a Windows-only app with no API and you have engineers, Cyberdesk targets that exact shape of problem. The intelligent caching and trajectory replay model is the differentiator: learn a workflow once, then rerun it cheaply and deterministically. The September 9, 2026 model refresh (Claude Opus 5, Claude Fable 5.1, GPT-6 Astra, plus a Max effort tier) keeps the engine current. I'd pass if you're Mac-only, need a no-code builder, or need a Windows automation program spanning macOS and Linux.
Verified 5d ago · liveness 69/100 · cite: rightaichoice.com/tools/cyberdesk
- Healthcare developers automating EHR/EMR data entry and extraction on Windows
- Finance teams pulling data from financial platforms, reconciling accounts, and filing forms in desktop accounting
- Logistics operations reading and writing data into legacy ERPs and portals without fragile integrations
- Engineering teams that need Windows automation without firewall rules or a VPN
- Mac-only teams — the Cyberdriver runtime targets physical and virtual Windows machines
- Non-technical users who want a no-code builder instead of SDKs and APIs
- Cross-platform automation programs spanning macOS and Linux
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Skip Cyberdesk if your automation targets Mac or Linux machines, or if nobody on your team can write and maintain TypeScript/Python glue — the trigger surface is SDKs and a REST API.
The XHigh and Max effort tiers apply a 65,536 output token budget with a 180-second timeout, so frontier-model runs on hard reasoning steps can burn far more tokens than a default-effort run on the same workflow.
Cyberdesk does not publish a rate card on the pages we could reach, and its pricing runs through a demo or a self-serve waitlist rather than a listed tier, so budget conversations start with the founders. Compare that against RPA incumbents with high annual contract minimums, and against DIY PyAutoGUI or Playwright scripts that cost only engineering time. The caching model is where the money argument actually lives: one learned workflow plus cheap deterministic reruns is the cost story to test
In short
Cyberdesk — Cyberdesk is a computer-use agent that automates legacy Windows desktop apps — EHRs, ERPs, and portals — through plain-English workflows triggered from your. Best for Healthcare developers automating EHR/EMR data entry and extraction on Windows, Finance teams pulling data from financial platforms, reconciling accounts, and filing forms in desktop accounting, Logistics operations reading and writing data into legacy ERPs and portals without fragile integrations. Contact Sales pricing.
What's new in Cyberdesk
Checked 5 days agoAcross the latest 5 updates: 4 feature updates and 1 changelog entry.
Claude Opus 5, Claude Fable 5.1, and GPT-6 Astra model options
Sixteen new selectable model configurations for main workflow agents and computer-use tasks, adding a Max effort tier with a 65,536 output token budget and 180-second timeout. Platform defaults are unchanged and existing workflows keep referencing their current models.
Runtime machine state quarantine paused
Failed display checks no longer mark a desktop disconnected, remove it from pools, or clear its Cyberdriver routing target while reachability classification is retuned. Confirmed failures still stop runs and fire downed_machines alerts.
Automatic quarantine for unreachable desktops
After three failed Cyberdriver display checks at run startup or during execution, the run now ends with a clear error and the desktop is marked disconnected, unavailable, and cleared of stale routing, with immediate Slack alerts when enabled.
Priority run scheduling
A new is_priority flag in the dashboard, API, and TypeScript and Python SDKs matches urgent runs to eligible desktops before normal queued work. Off by default, and a sustained stream of priority work can delay normal queued runs.
Downed machines webhook
Each desktop gains a Downed machine alerts toggle that sends a downed_machines webhook when the machine newly appears down, with Slack setup via webhook endpoint, destination, workspace and channel. The payload carries the full array of downed monitored machines for the org.
What people actually say about Cyberdesk — is it worth it?
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.
15 mentions across 4 sources (Hacker News, YouTube, Product Hunt, GitHub), 39 more we could not attribute · researched Sep 22, 2026.
Weighted by the 54 posts each of 4 sources contributed.
- +Self-learning cache replays exact steps, making repeat runs cheaper and faster than pure agent loops
- +No VPN, open ports, or firewall changes needed — a genuine security win for locked-down Windows fleets
- +Plain-English workflow authoring plus TypeScript/Python SDKs suits developer-first teams
- +Multiple model options (GPT 5.6 Sol/Terra/Luna, Claude Sonnet 5, Gemini 3.5 Flash) offer reasoning flexibility
- +Built-in observability dashboard with run logs, machine health, retries, and error handling
- −Self-hosting isn't available yet — a blocker for healthcare and finance data-residency requirements
- −Pricing is 'contact us' only, preventing any upfront cost comparison
- −Six open GitHub issues linger, including a WebSocket identity-header gap from April 2026
- −Cloud-only control plane contradicts the security promise for the most regulated buyers
- −Community volume is thin — real production-scale reliability evidence is scarce
- • No published per-run or per-desktop pricing — cost scales unpredictably with volume
- • Cloud hosting is mandatory (no self-host option) so infrastructure is bundled into vendor fees
- • Underlying LLM usage (GPT 5.6, Claude Sonnet 5, Gemini 3.5 Flash) is likely baked into pricing or metered
Viability Score
How well maintained and how widely used is Cyberdesk? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Plain-English workflow authoring for Windows desktop automation
- Cyberdriver driver installs on any physical or virtual Windows machine
- No firewall rules, VPN, or proxy required for deployment
- Intelligent caching makes repeated desktop runs cheaper, faster, and deterministic
- Trajectory replay with smart fallbacks for edge-case screens
- Claude Opus 5, Claude Fable 5.1, and GPT-6 Astra selectable (September 9, 2026)
- Sixteen new model configurations for main agents and computer-use tasks
- GPT 5.6 Sol, Terra, and Luna selectable as computer-use models
- Claude Sonnet 5 and Gemini 3.5 Flash selectable as computer-use models
- Per-provider effort tiers: Low, Medium, High, XHigh, and Max
- Max effort tier with 65,536 output token budget and 180-second timeout
- Opus 5 thinking-disabled base configuration for fast straightforward runs
- is_priority flag on dashboard, API, and SDKs for urgent run scheduling
- Downed-machine Slack webhook alerts with org-wide downed machine list
- Observability dashboard for workflows, run logs, and machine health
About Cyberdesk
Cyberdesk is a computer-use agent built specifically for Windows desktop automation, aimed at developers in healthcare, finance, and logistics who need to automate software that will never ship an API: EHR and EMR systems, ERPs, accounting platforms, and logistics portals. Setup is deliberately short. You install the Cyberdriver driver on any physical or virtual Windows machine — the vendor states no firewall rules, no VPN, and no proxies are required — then describe the workflow in plain English the way you would explain it to a colleague ("Open Epic, add a patient..."), and trigger runs from your code through the TypeScript and Python SDKs. The engine's caching layer is the core economics play: learn a workflow once, and repeated runs get cheaper, faster, and deterministic, with smart fallbacks when the screen does not cooperate. Model choice is explicit rather than hidden. A picker spans the GPT 5.6 family (Sol, Terra, Luna), Claude Sonnet 5, Gemini 3.5 Flash, and — as of the September 9, 2026 changelog — Claude Opus 5, Claude Fable 5.1, and GPT-6 Astra, seeded across Low, Medium, High, XHigh, and a new Max effort tier that carries a 65,536 output token budget and a 180-second timeout. Operationally you get run logs, workflow and machine management in one dashboard, an is_priority flag that matches urgent runs to eligible desktops ahead of the normal queue, and downed-machine Slack webhooks. Cyberdesk is Y Combinator-backed and sells to teams replacing fragile screen scrapers and legacy RPA suites.
Behind the Verdict
Cyberdesk picks a lane and stays in it: Windows desktops running software that will never have an API. That is a genuinely underserved problem. RPA incumbents cover the same ground but charge for the privilege with heavyweight suites, and DIY PyAutoGUI scripts get you a fragile pile of screen coordinates that breaks on the next UI patch. Cyberdesk's pitch — install the Cyberdriver driver, describe the workflow in plain English, trigger it from code — removes two of the three hardest parts of that job. The caching layer is the most interesting engineering claim here. Repeated desktop tasks are described as cheaper, faster, and fully deterministic, with smart fallbacks for edge cases. If that holds under real EHR and ERP conditionals, it changes the unit economics of high-volume desktop work considerably: you pay the expensive exploratory run once, then ride a deterministic replay path. The model surface is unusually transparent for this category. Rather than hiding model identity behind an opaque 'our AI' label, Cyberdesk exposes a picker across GPT 5.6 Sol, Terra and Luna, Claude Sonnet 5, Gemini 3.5 Flash, and — from the September 9, 2026 changelog — Claude Opus 5, Claude Fable 5.1, and GPT-6 Astra, each seeded across Low, Medium, High, XHigh and a new Max effort tier with a 65,536 output token budget and a 180-second timeout. Per-action prompt overrides mean you can put Luna on high-volume extraction and Opus 5 on the hard reasoning steps in the same workflow. Operation tooling is real, not decorative: a dashboard for workflows, run logs and machine health; TypeScript and Python SDKs with REST triggers, scheduling, retries and error handling; an is_priority flag that promotes urgent runs ahead of the normal queue (off by default, and the changelog honestly notes that a sustained stream of priority work can delay normal runs); and downed-machine Slack webhooks whose payload includes the full array of downed monitored machines for the org. Where it gets less comfortable is reliability plumbing. The August 1, 2026 changelog paused runtime machine state quarantine while reachability classification is retuned — failed display checks still stop affected runs and fire alerts, but a desktop is no longer marked disconnected, removed from pools, or cleared of its routing target. That is a real operational regression versus the July 20 behavior, and it means a team running a larger desktop fleet should watch the downed_machines list itself rather than assume the platform will pull bad machines out of rotation. Three failed Cyberdriver display checks at startup or during a run still end the run with an error. It is also unapologetically developer-first. Workflows are authored in plain English but the trigger surface is code — SDKs and the REST API. If your team has no one to write and maintain that glue, this is the wrong tool. Mac-only shops are also out: the Cyberdriver runtime targets physical and virtual Windows machines.
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Real-world workflow fit
Concrete scenarios for the personas Cyberdesk actually fits — and what changes day-one when you adopt it.
Install Cyberdriver on a Windows VM with Epic access, write a plain-English workflow to open a patient chart and extract structured fields, then trigger it nightly from the Python SDK. Enable downed_machines Slack alerts on the VM so the team hears about it if the desktop drops.
Outcome: Chart extraction runs on a schedule instead of manual entry; repeat runs hit the caching layer and get cheaper and deterministic, and the first failure surfaces in Slack instead of silently skipping a night.
Author workflows that log into desktop accounting software, reconcile accounts, file forms, and push results into the ERP. Route month-end close runs with is_priority and move high-volume field extraction onto the cost-optimized GPT 5.6 Luna configuration while keeping hard reasoning on a flagship model.
Outcome: Month-end close work executes ahead of routine queues, and the model picker keeps extraction spend down on the bulk of the volume.
Replace a brittle screen scraper pointed at a legacy logistics portal with a plain-English Cyberdesk workflow triggered over the REST API, keeping existing code as the caller.
Outcome: Portal reads and writes move off coordinate-based scraping onto a workflow the engine can replay deterministically and fall back from when the screen does not cooperate.
Use Cases
- Automate data entry and extraction across Epic and other EHR systems so clinical staff stop doing repetitive chart work
- Pull data from financial platforms, reconcile accounts, and file forms inside desktop accounting software
- Read and write into legacy ERPs and logistics portals without building fragile screen scrapers
- Automate claims processing queues by navigating insurance portals and extracting claim statuses
- Process mortgage loan documents by extracting key fields into loan origination systems
- Automate accounts payable invoice processing by capturing data and updating ERP records
- Route urgent desktop work ahead of the queue using the is_priority flag on runs
- Alert a Slack channel automatically when a monitored desktop goes down mid-run
Models Under the Hood
as of 2026-10-15
Limitations
- Workflows are authored in plain English and triggered via API or the TypeScript/Python SDKs, so some developer capacity is assumed.
- Because Cyberdesk operates real Windows desktops, reliability depends on desktop reachability and connection state; three failed Cyberdriver display checks at startup or during a run end the run with an error.
- A sustained stream of priority runs can delay normal queued runs.
- As of the August 1, 2026 change, runtime machine state quarantine is paused while reachability classification is retuned: failed display checks still stop affected runs and send alerts, but desktops are no longer marked disconnected or removed from pools.
as of 2026-10-13
Verification history
We have re-verified Cyberdesk 9 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 9 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where Cyberdesk's pricing actually pencils out — and where peers do it cheaper.
Cyberdesk does not publish a rate card on the pages we could reach, and its pricing runs through a demo or a self-serve waitlist rather than a listed tier, so budget conversations start with the founders. Compare that against RPA incumbents with high annual contract minimums, and against DIY PyAutoGUI or Playwright scripts that cost only engineering time. The caching model is where the money argument actually lives: one learned workflow plus cheap deterministic reruns is the cost story to test
Setup time & first value
How long it actually takes to get something useful out of Cyberdesk — broken out by persona, not the marketing-page minute.
For a developer with Windows host access: expect an afternoon to install Cyberdriver on a physical or virtual machine and get a first plain-English workflow triggered from the TypeScript or Python SDK, since the vendor states no firewall rules, VPN, or proxies are needed. Non-developers should budget for a developer's time instead — there is no no-code path, and workflow authoring plus API glue
Switching to or from Cyberdesk
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From PyAutoGUI/screen-scraper scripts: port the coordinate logic into a plain-English workflow, trigger it from the Python SDK, and let the caching layer replace hard-coded waits
- →From legacy RPA suites: recreate the bot as a Cyberdesk workflow per Windows machine, then move scheduling and retries onto the API and SDK layer
- →From manual offshore desktop work: write one workflow per repetitive task, run it on a dedicated Windows VM, and enable downed_machines alerts so the team knows when the desktop drops
- →From a browser-only agent: keep the browser steps where they work and move the app steps that have no API onto Cyberdesk's Windows runtime
- ↗To PyAutoGUI/Playwright: export the workflow logic as documented steps and rebuild the coordinate handling yourself, accepting the loss of deterministic replay and the caching layer
- ↗To a legacy RPA suite: rebuild each Cyberdesk workflow as a bot in the incumbent's designer, and re-add scheduling and alerting in that platform
- ↗To a cross-platform agent: move to a vendor covering macOS and Linux, accepting that Cyberdriver targets Windows machines only
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Cyberdesk”, and we withheld 6: 6 could not be judged, because “Cyberdesk” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Cyberdesk.
Official links
Tools that pair well with Cyberdesk
Common stack mates teams adopt alongside Cyberdesk, with the specific reason each pairing earns its keep.
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Glide
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Adept
Adept builds AI agents that take real actions across desktop and web apps using the Adept Workflow Language and its own multimodal models.
Featured Head-to-Head Comparisons
Cyberdesk vs Presto Voice
If you're a developer automating complex Windows desktop applications (EHRs, financial software) with observable, self-learning AI, Cyberdesk is purpose-built. If you're a QSR chain wanting to automate drive-thru ordering with proven revenue lift, Presto Voice is the established leader. They address completely different domains, so your choice depends entirely on your industry and automation target.
Cyberdesk vs Isomorphic Labs
If you need to automate legacy Windows desktop applications like EHRs, ERPs, or financial platforms without APIs, Cyberdesk is the right choice — it's a self-learning agent that runs on your Windows machine, supports natural language workflows, and now offers Claude Sonnet 5 and Gemini 3.5 Flash. If you're a pharma company seeking AI-driven drug discovery partnerships, Isomorphic Labs is the partner, leveraging AlphaFold and proprietary generative models with proven collaborations like Johnson & Johnson. These tools are not competitors; they serve entirely different domains.
Cyberdesk vs Codametrix
If you're a developer needing to automate any Windows desktop app (EHR, ERP, finance) for clients without API access, Cyberdesk is the tool. If you're a large health system seeking enterprise-scale medical coding automation with deep EHR integration, CodaMetrix is the clear winner. Choose based on your scale and domain: Cyberdesk for flexible UI automation, CodaMetrix for specialized, high-volume medical coding.
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