Open-source browser for AI agents
Hi HN, I forked chromium and built agent-browser-protocol (ABP) after noticing that most browser-agent failures aren’t really about the model misunderstanding the page. Instead, the problem is that the model is reasoning from a stale state. ABP is designed to keep the acting agent synchronized with the browser at every step. After each action (click, type, etc), it freezes JavaScript execution and rendering, then captures the resulting state. It also compiles the notable events that occurred during that action loop, such as navigation, file pickers, permission prompts, alerts, and downloads,…
Open-source browser for AI agents launched on March 11, 2026 with 155 votes, #221 of 23,380 launches that month and more than 95% of that year's launches.
In plain words
Open-source browser for AI agents is a Chromium fork that implements the agent-browser-protocol (ABP) to improve how AI agents interact with web browsers. It addresses the problem of agents making decisions based on stale page states by freezing JavaScript and rendering after each action, then capturing the resulting state and any notable events like navigation or permission prompts. The agent receives both a screenshot and structured summary of what occurred, enabling a more synchronized interaction loop. This approach makes browser automation feel like a multimodal conversation between agent and interface.
written from the facts on this page · September 2026
From the sources
Deterministic browser automation. Works out of the box with Claude/Codex/OpenCode - theredsix/agent-browser-protocol
In the maker’s words, at launch
Hi HN, I forked chromium and built agent-browser-protocol (ABP) after noticing that most browser-agent failures aren’t really about the model misunderstanding the page. Instead, the problem is that the model is reasoning from a stale state. ABP is designed to keep the acting agent synchronized with the browser at…
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Notte Browser Agents2025 · notte.cc · ▲275Hey HN, We’ve been building browser agents for a while. In production, we kept converging on the same pattern: deterministic scripts for the happy path, agents only for edge cases. So we built Demonstrate Mode. The idea is simple: You perform your workflow once in a remote browser. Notte records the interactions and generates deterministic automation code. How it works: - Record clicks, inputs, navigations in a cloud browser - Compile them into deterministic code (no LLM at runtime) - Run and deploy on managed browser infrastructure Closest analog is Playwright codegen but: - Infrastructure…
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