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Superagent vs TryCase: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Superagent and TryCase — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Superagent logo

Superagent

Superagent

Free

An open-source Mac app that gives your coding agent a home: a real browser it drives, persistent chats, git worktrees and your iPhone in the loop.

Key features

  • Session Sidebar: One chat per task in a single rail, each keeping its own context, resuming mid-thought and showing whether it is still running or finished.
  • Per-task Git Worktrees: Every chat runs on its own worktree, so several agent tasks can proceed in parallel without stepping on one another's branches.
  • Driven Real Browser: The agent operates an actual browser using your own logged-in sessions, so it can reproduce bugs and walk redirect chains on real authenticated pages.
  • iOS Simulator Integration: An iPhone simulator sits in the window, letting the agent build and inspect mobile UI without leaving the app.
  • Phone Pairing: Pair an iPhone to follow and steer a run away from your desk, with the relay end-to-end encrypted.
  • Local-only Architecture: No Superagent account, server or telemetry — nothing leaves your Mac and there is no second subscription to buy.
  • Open Source under MIT: The Mac app, iPhone app and relay are all published on GitHub under the MIT license and the build is notarized by Apple.
  • Bring Your Own Agent: Works with Claude Code today on the subscription you already have, with Codex and Antigravity announced as coming.

Best for

  • Parallel Feature Work: Run several coding tasks at once, each isolated on its own git worktree, and check back on whichever finishes first.
  • Debugging Authenticated Flows: Let the agent open the real browser on your logged-in session to reproduce a login redirect loop or a flaky auth test.
  • Mobile UI Iteration: Build and visually inspect an iOS interface through the embedded simulator while the agent edits the code.
  • Long-running Refactors: Kick off a migration such as moving a repo to pnpm, close the laptop, and follow progress from a paired iPhone.
  • Privacy-sensitive Codebases: Use a coding agent on proprietary code with no account, server or telemetry involved.
  • Reviewing Agent Work: Watch step counts, diffs and per-file changes in a desk-style UI rather than scrolling terminal output.
View Superagent details
TryCase logo

TryCase

TryCase

Paid

An AI QA agent that opens your app on every pull request and posts a verdict, captioned video and screenshot back to GitHub.

Key features

  • PR-Triggered Runs: Connecting a repository is enough - every pull request marked ready for review starts a test run with no pipeline config.
  • Journey Selection From Diff: TryCase reads the changed code and chooses which user flows are actually affected rather than replaying a whole suite.
  • Disposable Linux Environments: Each run gets a fresh environment with terminal and browser control, so state from earlier runs never leaks in.
  • Video and Screenshot Evidence: Results arrive as a captioned recording plus a screenshot commented on the PR, showing exactly what the app did.
  • Bring Your Own AI: Connect Codex through an existing ChatGPT subscription or supply an OpenRouter key and pay your provider directly for inference.
  • Agent Skills: Packaged skills teach Claude, Codex, Cursor and other compatible agents to drive TryCase environments without manual setup.
  • Parallel Workers: Up to twelve workers per bot run journeys concurrently, with testing time tracked separately for setup, the primary bot and each worker.
  • Usage-Based Hour Pools: Monthly plans grant a shared pool of end-to-end testing hours across setup, PRs and retries, with no automatic overage charges.

Best for

  • Pre-Merge Verification: Confirm a checkout or signup flow still works before approving a pull request, without pulling the branch locally.
  • Visual Regression Review: Catch layout and rendering breakage that unit tests pass over by watching the recorded walkthrough.
  • Agent-Written Code Review: Require an AI coding agent to return screenshots and recordings proving its change runs, not just a diff.
  • Suite-Free E2E Coverage: Give a small team end-to-end coverage without staffing the maintenance of a Playwright or Cypress suite.
  • Demo Clips From Branches: Reuse the captioned videos as short product demos of a feature still sitting on a branch.
  • Release Triage: Scan verdicts across several open PRs to decide which changes are safe to batch into a release.
View TryCase details