Zephium is listed as Open Source. Check https://github.com/zephium-browser/Zephium for the current plan limits, as vendors change pricing frequently.

Zephium

Q: What is Zephium?

Zephium is a code AI tool listed on Use AI Tools. Zephium is an open-source browser and work environment built for humans and agents on the same surface. Its documentation describes a shared Tasks surface for both, an agentic browsing execution layer behind a feature called Work, a bounded browser session driven by a semantic locate and act controller, and work runtime subsystems covering execution, scoped runtime, composition, native lifetimes, persistence and retained resources. The project is explicit that code and tests are the evidence of present behavior, and each document owns a narrow claim: the security model controls guarantees, architecture controls the browser foundation, and the product system controls intent.

Q: What is Zephium best for?

Zephium is commonly used for Browsing where the agent is a first-class user, Keeping agent work inside bounded sessions, Auditing what a browser-backed agent is allowed to do. It supports English.

Code⚡ Advanced✅ Global access

Browsing where the agent is a first-class userKeeping agent work inside bounded sessionsAuditing what a browser-backed agent is allowed to do

Open SourceEnglish

Zephium is an open-source browser and work environment built for humans and agents on the same surface. Its documentation describes a shared Tasks surface for both, an agentic browsing execution layer behind a feature called Work, a bounded browser session driven by a semantic locate and act controller, and work runtime subsystems covering execution, scoped runtime, composition, native lifetimes, persistence and retained resources. The project is explicit that code and tests are the evidence of present behavior, and each document owns a narrow claim: the security model controls guarantees, architecture controls the browser foundation, and the product system controls intent.

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Community Rating

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🎯 Real-World Use Cases

Share the task surface

People and agents work the same Tasks view instead of the agent driving a separate window.

Bound the session

Run agent browsing as a scoped, semantic locate and act session rather than an open-ended puppeteer script.

Check the guarantees

Read the security model to see which capabilities are enforced and which are gated off.

⚖️ Honest Review

✅ Pros

+Agent work is designed into the browser rather than bolted on
+Documentation separates enforced guarantees from product intent
+Open source with a published security model

⚠️ Cons

−Early-stage: much of the detail is in design documents
−Building and running a browser is a heavy dependency

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CodeOct 26, 2026