⚖️Side-by-Side Comparison

BrowserOS neo vs Sculptor: Which is Better in 2026?

We've compared 2 tools across pricing, features, ratings, and reviews to help you make an informed decision. No paid placements — just facts.

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Feature
BrowserOS neo logo
BrowserOS neo

Developer Tools

Sculptor logo
Sculptor

Developer Tools

RatingNo reviews yetNo reviews yet
PricingFree

as of Sep 30, 2026

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Pricing ModelFreeUnknown
Free Plan
Free Trial
API Available
Verified
Founded——
HQ——
Team Size2-10—
Platforms——
Top Integrations—
Claude Code
Key Features
  • Local-first AI agents
  • Chrome-compatible interface
  • Uses real logged-in sessions
  • MCP integration
  • Extensible parallel coding workspace
Description

BrowserOS neo is an open-source, Chromium-based agentic browser positioned as a privacy-first alternative to cloud-run browser agents like Perplexity's Comet. It has a Chrome-like interface and supports existing Chrome extensions, but adds a local AI agent layer that can browse and take actions on a user's behalf using either the user's own API keys or fully local models via Ollama — keeping browsing data on the user's own machine rather than sending it to a cloud AI provider. Because agents run in the user's actual browser rather than a headless cloud instance, they inherit the user's real logins and sessions instead of needing separate authentication. BrowserOS also exposes an MCP-compatible interface, so external coding agents like Claude Code, Cursor, Codex, VS Code, Zed, or GitHub Copilot can drive the browser directly with a one-click install. The project is licensed under AGPL-3.0 and its source is maintained across several repositories under the browseros-ai GitHub organization.

Sculptor, by Imbue, is a coding workspace that lets developers delegate tasks to multiple autonomous AI coding agents running in parallel inside secure, isolated containers to generate, test, and fix code. It provides a dedicated UI for Claude Code, letting users coordinate agents, inspect their changes, and verify results. It aims to make AI-assisted software development more reliable and to broaden who can build software.