Oasis Browser: Calm, secure browsing with AI | Kahana vs qarunbook: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Oasis Browser: Calm, secure browsing with AI | Kahana and qarunbook — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Oasis Browser: Calm, secure browsing with AI | Kahana
Kahana
Calm, secure browsing with integrated AI for focused, privacy-minded web use.
Key features
- Calm-focused browsing experience (low-distraction UI as implied by 'Calm')
- Privacy- and security-oriented browsing (as implied by 'secure')
- Integrated AI-assisted browsing features (advertised in title)
Best for
- Focused / low-distraction web browsing
- Privacy-preserving web use
- AI-assisted browsing tasks (e.g., assistance, summarization) as advertised
qarunbook
qarunbook
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.
Key features
- 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.
Best for
- 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.