Overview
Agentic Browser is an AI-powered browser RPA tool that generates reproducible YAML runbooks and executes them with self-healing capabilities. Unlike traditional browser automation (Playwright, Selenium) that breaks with every UI change, and unlike autonomous AI agents (Browser Use) that produce different results every time, Agentic Browser combines the best of both worlds:- AI generates a reproducible YAML runbook by exploring your web app
- Zero AI cost on reruns — deterministic execution needs no tokens
- Self-healing — AI agents auto-heal your RPA when UIs change
- Human-in-the-Loop — Slack / Teams / Discord approval workflows keep you in control
Three interfaces
CLI
Generate and execute runbooks from the command line. Ideal for developers and CI/CD pipelines.
SDK
TypeScript SDK for programmatic access. Embed browser automation into your applications.
Web Console
Web-based management UI. Create, schedule, and monitor runbook executions without code.
How it works
AI builds a runbook
AI explores your app, records each action, reviews the steps, and outputs a reproducible YAML runbook.
Execute deterministically
The runbook executes with zero AI tokens. Whether you run it once or a hundred times, the cost stays at zero.
Key features
| Feature | Description |
|---|---|
| AI-built runbooks | Set a goal and AI autonomously builds reproducible browser operations. No code, no manual scripting. |
| Zero rerun cost | Generated runbooks execute without AI tokens. 100% cost reduction on every rerun. |
| Reproducible & auditable | Runbooks are YAML artifacts you can version-control, review in PRs, and audit. Same runbook, same result. |
| Self-healing automation | AI agents auto-heal and auto-patch your RPA when UIs change. No manual maintenance needed. |
| Human-in-the-Loop | Built-in Slack, Teams, and Discord approval workflows with native HITL governance. |
| BYOK — Bring Your Own Key | Use your own AI keys with Anthropic, OpenAI, Bedrock, Vertex AI, Azure OpenAI, or any compatible endpoint. Your data is never used for model training, and token consumption is dramatically reduced. |