Multifactor vs qarunbook: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Multifactor and qarunbook — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Multifactor
Multifactor
Secure platform for trustless account sharing, authentication, authorization, and auditing between humans and AI agents.
Key features
- Trustless Authentication & Authorization: Provides cryptography-first mechanisms to grant and verify access to online accounts without relying on shared plaintext credentials, enabling scoped and auditable access for humans and agents.
- Enclave Attestation Verification (Trust Center): An open-source trust-center component and SDK that verifies hardware enclave attestation documents (CBOR/X.509) and can generate enclave secrets for secure secret provisioning.
- Multi-Factor Key Derivation (MFKDF): Reference implementations (Rust, JavaScript) of a next-generation multi-factor key derivation function to bind secrets to multiple authenticators or factors, improving resilience and recoverability.
- Deterministic Password & Secret Tools: Tools such as a Multi-Factor Deterministic Password Generator (MFDPG) and a demo centralized password-management application to produce reproducible, multi-factor protected credentials.
- Developer SDKs & Offline Verification: SDKs enabling programmatic parsing and validation of attestation documents locally (no network dependency), suitable for embedding in apps and CI systems for automated trust checks.
- Open Source Reference Implementations: Public GitHub repositories with reference code (MFKDF2, trust-center, demos) to enable auditability, customization, and integration into bespoke security workflows.
- Trust Center to verify hardware enclave attestations and generate enclave secrets
- Reference implementations of Multi-Factor Key Derivation Function (MFKDF) in JavaScript and Rust
- Multi-Factor Deterministic Password Generator (MFDPG) and centralized password management demo
- Reference custodial and self-custody wallet implementations using MFKDF
- Open-source SDKs and demo code distributed via npm and embeddable script tags
- Trust-center can be run offline and is hosted as auditable GitHub Pages content
- Certificate validation in SDK uses crypto.X509Certificate (Node.js >= 15.6.0 required)
- Support for programmatic attestation verification workflows (CBOR attestation document parsing)
Best for
- Secure Agent Credentialing: Provision short-lived, auditable credentials to AI agents running in trusted enclaves after automated verification of enclave attestations.
- Contractor and Vendor Access: Grant scoped, time-limited access to SaaS accounts for contractors or vendors with full authorization controls and audit trails instead of sharing static passwords.
- Encrypted Secret Injection in CI/CD: Validate runner or enclave attestation in build pipelines and inject secrets only to verified execution environments to reduce risk of secret exposure.
- MFKDF-Based Wallets and Recovery: Build wallets or custodial/self-custody solutions that use multi-factor key derivation to bind private keys to multiple recovery factors and devices.
- Deterministic Password Management: Generate deterministic, multi-factor protected passwords for accounts to avoid storing plaintext credentials while enabling recoverability.
- Compliance & Audit Reporting: Maintain cryptographic audit logs of who/what (human or agent) accessed which accounts and when, supporting security reviews and compliance needs.
- Securely share account credentials with human collaborators and automated agents while retaining auditability
- Verify hardware enclave attestations before provisioning secrets to remote enclaves
- Generate enclave-bound secrets for confidential compute workflows
- Integrate MFKDF into wallet applications for multi-factor key derivation (custodial and self-custody)
- Implement deterministic password generation and centralized password management demos for teams
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.