What this is
Two architectures compete for the agentic-web layer in 2026: browser-use (Chrome DevTools Protocol library + LLM) and computer-use (vision + screen-and-keyboard control). Both can complete the same tasks, but they have different costs, fragility profiles, and integration patterns. This page is a 2026-05-15 head-to-head snapshot.
Stack Comparison
| Dimension | browser-use | Claude computer_use_20251124 | OpenCUA |
|---|---|---|---|
| Approach | DOM + CDP + LLM decisions | Screenshots + click/type tools | Screenshots + click/type tools + CoT |
| License | Open source (Python) | Proprietary (Anthropic API) | Open weights + framework |
| Token cost per task | Lower (HTML accordioned) | Higher (screenshot tokens) | Higher (similar to Claude) |
| Speed on standard web tasks | Faster (no vision pass) | Slower (vision + reasoning) | Slower |
| Resilience to JS-heavy UI | Lower (DOM gaps) | Higher (vision sees what user sees) | Higher |
| Cross-app desktop tasks | No (browser only) | Yes (any visible window) | Yes |
| MCP support | Yes (Claude Desktop + others) | Native (Anthropic ecosystem) | Yes |
| Use case sweet spot | Pure web tasks, scraping, form-fill | Mixed-app workflows, complex UI | On-prem, open-weight requirement |
When to Pick Each
| Task type | Best stack | Why |
|---|---|---|
| Scrape product pages, fill forms, click through paginated lists | browser-use | Faster, cheaper, DOM is enough |
| Multi-app workflow (email + spreadsheet + ticketing) | computer-use (Claude / OpenCUA) | Cross-window control required |
| JS-heavy SaaS UI with shadow DOM | computer-use | Vision sees the actual rendered UI |
| Public-web research with citations | browser-use | Cheaper at scale |
| On-prem regulated industry | OpenCUA | Open weights satisfy compliance |
| Tasks requiring screenshot evidence | computer-use | Vision artefacts are first-class |
Six Things the Comparison Tells You
- The category is no longer binary. Open weights, proprietary computer-use, and browser-based libraries are converging on similar task ceilings.
- browser-use wins on cost and speed for pure web tasks. DOM access via CDP is cheaper and faster than vision.
- computer-use wins on resilience to complex UI. Anything with shadow DOM, dynamic React, or off-DOM canvas elements hurts CDP libraries.
- OpenCUA is the on-prem option. Open weights + open framework with comparable capability to Claude on most benchmarks.
- MCP compatibility is now table stakes. browser-use, Claude, and OpenCUA all expose tools via MCP.
- Production deployments use both. Most serious agentic stacks in 2026 route to browser-use for cheap web tasks and to computer-use for cross-app or shadow-DOM workflows.
What This Means for AI Visibility
Brands optimising for agentic reachability need to think about both DOM and visual surfaces. browser-use needs clean HTML, working selectors, ARIA labels, and reasonable load times. computer-use needs visually clear UI with consistent layouts. A brand that fails on both — JS-rendered behind shadow DOM with no visible labels — will be invisible to agentic stacks regardless of which library the agent uses.
Methodology
Stack details combine the browser-use GitHub repository, the Anthropic best-practices guide for computer + browser use, the OpenCUA GitHub, and OpenTools coverage of Codex computer + browser use. Cost and resilience characterisations draw on community benchmarks reported in the browser-use and Claude-Code repos.
How Presenc AI Helps
Presenc AI tests agent-reachability against both browser-use (DOM-based) and computer-use (vision-based) stacks, so you can see whether your brand surfaces are reachable to the agent architecture mix that actually exists in production. Brands that test only one architecture miss half the picture.