Oya Browser vs Browserbase
Both provide cloud browser infrastructure for AI agents, but they differ on deployment model and anti-detection approach. Browserbase runs entirely in Browserbase's cloud; there is no self-hosted path on standard plans. Oya's control plane runs in Oya Cloud or in your own infrastructure on any plan under the Sustainable Use License.
| Feature | Oya Browser | Browserbase |
|---|
| License | Sustainable Use (control plane), MIT (SDK/CLI) | Proprietary |
| Self-hosting | Yes, free up to 5 cloud browsers | No (cloud-only on standard plans) |
| What portal sees | Real headful browser | Cloud Chromium over CDP |
| Replay without model | Yes, 0 model calls | Yes |
| Data in your network | Any plan | Enterprise plan |
Oya is the better choice when data must stay in your own network for HIPAA or SOC 2 workloads, or when your portal targets detect CDP-based fingerprints and return bot walls. Browserbase is worth considering when you need a fully managed cloud browser with no infrastructure overhead and your portals do not aggressively detect CDP traffic.
Oya Browser vs Anchor Browser
Anchor Browser positions itself as a stealth Chromium fork for AI agents. Both address bot detection, but through different mechanisms. Oya runs a real headful browser with native device emulation; Anchor patches Chromium to reduce its automation fingerprint. Anchor's self-hosting is available only on enterprise plans, while Oya's community edition self-hosts on any plan.
| Feature | Oya Browser | Anchor Browser |
|---|
| License | Sustainable Use (control plane), MIT (SDK/CLI) | Proprietary |
| Self-hosting | Community plan (up to 5 cloud browsers free) | Enterprise plan only |
| What portal sees | Real headful browser | Stealth Chromium fork |
| Replay without model | Yes | Yes |
| Data in your network | Any plan | Enterprise plan |
Anchor is worth considering for teams that need a drop-in replacement for Playwright or Puppeteer without changing existing automation code. Oya is a better fit when building new agent workflows from scratch and you want the record-once-replay behavior and no-model replay savings built into the infrastructure.