Ego Lite vs sizeless: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Ego Lite and sizeless — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
E
Ego Lite
Citrolabs
The fastest browser for AI agents to run browser automation, letting agents like Codex and Claude Code share your logged-in browser state.
Key features
- Agent-Optimized Browser: A dedicated browser built for AI agents to run automation faster and more reliably than driving a general-purpose browser.
- Shared Logged-In State: Agents like Codex and Claude Code use your existing authenticated sessions without prompting you to re-login inside a sandbox.
- Non-Disruptive Coexistence: Runs alongside your primary browser so the agent's activity does not interfere with what you are doing.
- Zero-Config Setup: Marketed as zero cost and zero configuration so developers can point an agent at Ego Lite in minutes.
- Native macOS Builds: Distributed as DMGs for Apple Silicon and Intel Macs.
- Open Source on GitHub: Hosted on GitHub under citrolabs/ego-lite so users can inspect and contribute.
- Fast Automation Loop: Optimized for high-throughput agent-driven web tasks.
- Trendshift-Recognized: Called out on Trendshift as a trending repository for agent tooling.
Best for
- Claude Code Web Tasks: Let Claude Code fill forms, click buttons, and read pages on your logged-in accounts without you re-authenticating in a sandbox.
- Codex Browser Automation: Give Codex a browser that already has your session cookies and 2FA state so end-to-end scripts just work.
- Automated QA on Authenticated Apps: Run agent-driven regression checks against apps that require login.
- Data Collection Behind Logins: Scrape and summarize dashboards or SaaS reports without re-implementing auth flows for the agent.
- Personal Automation: Automate personal workflows like inbox triage or booking, using an agent that inherits your browser state.
- Developer Tooling: Embed Ego Lite as the browser backend for internal agent tools that need shared session state.
sizeless
sizeless
Turns a smartphone video of an open trench into a centimetre-accurate 3D point cloud, CAD as-built plan and GIS-ready digital twin of buried utilities.
Key features
- Smartphone capture: Field crews record an open trench with a standard iPhone Pro — no specialist scanning hardware and no separate surveying appointment
- Centimetre-accurate point clouds: Reconstruction algorithms developed at ETH Zurich build a high-resolution 3D point cloud of the excavation from the video alone
- Standards-compliant CAD output: Generates as-built plans in DWG and DXF, with couplings and pipe runs identified and measurements simplified
- 3D digital twin and GIS export: Produces a model of the pipe route including building entries that drops into existing GIS systems
- Works without GPS: Captures basement sections and building entry points where GNSS-based surveying fails
- Immediate backfilling: Because capture takes minutes, trenches close right after filming instead of waiting on a survey crew
- Documentation in about 72 hours: Complete records arrive weeks earlier than conventional surveying, enabling prompt connection billing
- Third-party utility capture: Records crossing utilities and as-laid geometry as unbroken 3D evidence, replacing hand sketches
Best for
- A utility network operator documenting residential service connections without booking a surveyor for every site
- A contractor closing a trench the same day instead of leaving it open pending a survey appointment
- Capturing a building entry point in a basement where GPS-based surveying cannot get a fix
- A district heating project producing as-built DWG plans for regulatory sign-off
- Spotting a laying error in the 3D point cloud before backfilling, while the fix is still cheap
- Feeding as-built pipe geometry into a GIS system for long-term network maintenance planning