Praex vs qarunbook: Features, Pricing & Which Is Better (2026)

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

Praex

Freemium

Open-source AI coding copartner with its own Velox, Faber and Lucia models, available in terminal, mobile and web.

Own Model Family: Velox II, Faber II and Lucia II are tuned and served by Praex on its own infrastructure, sized from quick edits to frontier-scale problems.
Terminal CLI: Install with a one-line script and let the agent read files, run commands, edit code and verify tests directly in your terminal.
Cross-Device Sessions: Start a task in the terminal, steer it from your phone and review it on the web with the same agent, memory and session.
Bring Your Own Keys: Run Praex on any model with your own API keys or hardware at no extra cost.
Open-Source Core: The CLI is an MIT-licensed fork of opencode, so the agent harness can be inspected and modified.
No Sign-Up Chat: Start chatting on the web with the free Velox II model without creating an account.

Fixing Failing Builds: Hand the agent a broken deploy and let it read configs, run tests and patch source until tests pass.
Everyday Quick Edits: Use the free Velox II model for instant answers and small code changes in the terminal.
Deep Reasoning Tasks: Escalate to Faber II on Pro for complex coding and multi-step reasoning.
Mobile Task Steering: Kick off a refactor at your desk and monitor or redirect it from your phone.
Self-Hosted Workflows: Point the CLI at your own models or keys to keep code on infrastructure you control.

Freemium

qarunbook is an app testing runbook where AI drafts a test plan from your code and your team or AI works through it, tracking issues and retests.

AI-Drafted Test Plans: The /test-checklist skill looks through your app and drafts checks with steps and expected results already filled in.
MCP Connection: Connect Claude Code, Claude Desktop, Codex, Cursor or any MCP client so the assistant can read the plan and record results.
Issue-to-Check Linking: Every issue sits on the check that found it with the affected platforms, and raising one removes the pass.
Retest Flow: When an issue is fixed the check waits for someone to look again before being marked passed.
Roles and Join Links: Give people access to only the projects they need and invite whole groups with a join link.
Multi-App Workspaces: Keep each app's sections and platforms separate so web, driver and marketing sites are tested side by side.
GitHub and Linear Integration: Connect issue trackers so problems found in testing flow into existing engineering workflows.
QA Runbook Skill: The /qa-runbook skill works through the plan on web and mobile, recording each result and re-checking fixes.

Release Testing: Run a structured test plan before each release across web, Android and iOS.
AI-Assisted QA: Let a coding assistant execute checks and record pass/fail results through MCP.
Team Test Coordination: Split test checklists among teammates and see progress and results in one workspace.
Regression Follow-up: Track bugs against specific checks and retest them after fixes ship.
Solo Developer Testing: Generate a test plan from the codebase so a one-person team knows what to check.
Agency Multi-Client QA: Manage separate apps and clients with scoped access and a flat workspace price.