Agentic Index
Kerno vs QA Wolf (2026)
Both keep test suites alive as code changes, at very different layers and price points.
QA Wolf is end to end and managed, with agents generating Playwright and Appium tests while human engineers maintain the suite under a Zero Flake Guarantee, quoted per test through sales, documenting 8 of 14. Kerno is a self building backend harness validating every change, including AI generated changes, against the real stack from inside the IDE, self healing as the codebase evolves, free to start with paid monthly plans, at 6.5. As agents write more of your code, Kerno's premise is that the tests have to be written by something that watches the stack, not the screen.
Choose Kerno if
- Backend behaviour against the real stack is what breaks, not the user interface.
- Validating AI generated changes specifically is the problem you now have.
- A free tier inside the IDE means engineers adopt it without a procurement conversation.
Choose QA Wolf if
- End to end user journeys are what you need covered and nobody has time to write them.
- Documented coverage is broader and a managed service removes the maintenance burden entirely.
- The Zero Flake Guarantee addresses the reason your team stopped trusting the suite.
| At a glance | Kerno | QA Wolf |
|---|---|---|
| Category | Agent infrastructure | Agent infrastructure |
| Entry price | Free tier to start, with paid monthly plans (a launch promotion offered fifty percent off the first month); exact plan prices were not surfaced this session. | No published rates; per test pricing quoted through sales, third party median estimated around ninety thousand dollars per year |
| Free / trial | Free tier available to start; launch promotion of fifty percent off the first month | No free or freemium tier; the service is fully managed and quote based |
| Pricing confidence | public partial | contact only |
| Feature | K Kerno |
Q QA Wolf |
|---|---|---|
| Action & orchestration | ||
|
Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
Partial | Full / Explicit |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
Partial | Full / Explicit |
|
Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
Partial | Partial |
| Knowledge & context | ||
|
Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
Partial | Partial |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
Partial | Partial |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Partial | Full / Explicit |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Partial | No / Not documented |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
Partial | Full / Explicit |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
Full / Explicit | No / Not documented |
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
No / Not documented | Partial |
| Platform extensibility | ||
|
Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
No / Not documented | No / Not documented |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
Partial | Partial |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Full / Explicit | Full / Explicit |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
No / Not documented | Partial |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | K Kerno |
Q QA Wolf |
|---|---|---|
|
Entry price Lowest public entry point |
Free tier to start, with paid monthly plans (a launch promotion offered fifty percent off the first month); exact plan prices were not surfaced this session. | No published rates; per test pricing quoted through sales, third party median estimated around ninety thousand dollars per year |
|
Pricing confidence How public the numbers are |
Public — partial | Contact only |
|
Billing Primary billing axis |
free tier plus paid monthly subscription (exact axis not published) | per test managed per month, with investigation, maintenance, setup, and cleanup included; costs locked to managed test count |
|
Variable cost Workload / overage exposure |
Medium variable cost | Medium variable cost |
|
Free tier / trial Try before you buy |
Free tier
|
No free tier
|
|
Buying motion Self-serve vs sales call |
Self-serve | Sales call |