Ego Lite vs Port Radar for macOS: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Ego Lite and Port Radar for macOS — 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.
Port Radar for macOS
Juan Sebastian Solano
Free open-source Mac menu bar app that lists every listening localhost port and uses on-device Apple Intelligence to explain what each process is.
Key features
- Menu Bar Port Scanner: Lists every listening localhost port in the menu bar with port number, PID, owning project, runtime, and the exact command line.
- Apple Intelligence Explanations: Ask in plain language what a process is, why it has been running, and whether stopping it is safe; answers are generated on-device with no cloud call.
- Project Grouping: Groups processes by the project directory that owns them and flags shared or orphaned processes with no obvious parent.
- One-Click Cloudflare Tunnels: Share any local port as a public URL through a Cloudflare quick tunnel, auto-installing cloudflared with no CLI, ngrok, or account setup.
- Clean Process Control: Stop a process gracefully or force-quit it with a confirmation step, directly from the menu bar.
- Live Tunnel Management: See which tunnels are currently live and public, copy their URLs, and stop them at any time.
- Fully On-Device Privacy: All inspection and AI explanation happens locally; no process data or command lines are sent off the machine.
- Open Source Under Apache 2.0: The full source is published on GitHub, so the app can be audited or built from source.
Best for
- Port Conflict Debugging: Finding out which forgotten process is holding port 3000 before starting a new dev server.
- Runaway Process Triage: Identifying a Node or Python process quietly eating CPU and deciding whether it is safe to kill.
- Preview Sharing: Handing a teammate or client a live public URL for a work-in-progress local app in seconds.
- Multi-Project Development: Keeping track of which of several simultaneously running projects owns each active port.
- Onboarding and Handover: Letting a developer new to a codebase understand what the local stack actually starts up.
- Privacy-Sensitive Environments: Getting AI assistance about local processes in settings where sending command lines to a cloud model is unacceptable.