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

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

AgentSky

Freemium

Cloud-hosted long-horizon AI agents you can launch in one click on any harness and any LLM, reachable from WhatsApp, iMessage, or Telegram.

Managed Agent Hosting: Run long-horizon agents in AgentSky's cloud with no Mac mini, VPS, or setup required.
Any Harness, Any LLM: Choose your harness (Claude Code, Codex, Hermes, OpenClaw) and model (GPT-5.6, Sol, GLM-5.2, Kimi K3) — no lock-in.
Multi-Channel Access: Talk to the same agent from WhatsApp, iMessage, Telegram, or the web dashboard.
Persistent History and State: The agent's tools, memory, and transcripts follow it across channels and harness swaps.
One-Click Launch: Spin up a fresh agent from the dashboard in a single click and hand it a task immediately.
Free Parking: Agents that aren't actively working don't incur usage charges — only compute time is billed.
Managed Recovery: If a session crashes or an LLM returns an error, AgentSky restarts and resumes the run automatically.

Always-On Virtual Teammate: Run an agent on Slack/WhatsApp that answers questions and does work overnight.
Hackathon Rigs: Spin up 10 agents on different harness/LLM combos to prototype in an afternoon.
Skill Author Testing: Skill and prompt authors run their creations against many harness/model combos for eval.
Long-Running Codex Jobs: Kick off a multi-hour refactor and check in from a phone.
Personal Assistant on iMessage: Deploy a personal agent reachable from iMessage without hosting anything at home.

Paid

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

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.

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.