Google Agent Development Kit (ADK) vs OneWayInterview

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

	Google Agent Development Kit (ADK) Agents	OneWayInterview Agents
Tagline	Google's open-source framework for building, evaluating, and deploying production AI agents	AI-scored async video interviews for SMB hiring teams
Category	Agents	Agents
Pricing	Free· Framework itself is free and open-source (Apache 2.0). Costs come from the underlying model provider (e.g. Gemini API / Vertex AI usage) and any hosting infrastructure (Cloud Run, GKE, Agent Engine).	Freemium· Starter: $13.99 · SME: $34.99 · Business: $62.99 · Unlimited: $209.99
Model	Gemini (default) plus Claude, GPT-4/5, Llama, and other providers via LiteLLM	—
Editorial score	—	—
Use cases	Multi-agent research assistantCustomer support triage agentRAG chatbot backed by Vertex AI SearchCode review and refactoring agentBigQuery natural-language analytics agentDocument processing pipelineVoice/streaming conversational agentInternal tool-use agent orchestrating APIsEvaluation and regression testing of LLM workflowsEnterprise workflow automation on Agent Engine	async video screeningAI candidate rankingauto-generated interview questionshigh-volume sales hiringcustomer service role screeningpre-hire skills testsATS-integrated video interviewsremote-first candidate assessmenthiring committee video sharing
Pros	Genuinely open-source (Apache 2.0) with active Google engineering behind it, not a hosted-only product Multi-language: first-class Python, Java, and Go SDKs — rare among agent frameworks that are usually Python-only Built-in dev UI (`adk web`) with trace inspection, event stream, and session replay speeds up debugging enormously Model-agnostic via LiteLLM — Gemini is default but Claude, GPT, and local models plug in cleanly Rich multi-agent primitives out of the box: SequentialAgent, ParallelAgent, LoopAgent, and hierarchical sub-agents Tight Google Cloud integration for deployment (Cloud Run, GKE, Agent Engine) plus native BigQuery/Vertex Search tools Evaluation harness with trajectory-level scoring is included, not a separate paid add-on First-class MCP (Model Context Protocol) client and server support	AI auto-generates structured interview questions from a job title, cutting scorecard setup time AI screening agent ranks candidates on relevance, clarity, and completeness so recruiters skip weak videos Anti-cheat options (single-take, forward-only reveal) make async video comparable to live screens ATS integrations with Breezy HR, Greenhouse, and Lever plug into existing pipelines 100+ pre-built screening tests cover common SMB roles out of the box Starter pricing under $14 per month makes it accessible for very small hiring teams 14-day free trial with no credit card lets teams pilot before committing
Cons	Documentation and examples lean heavily on Gemini + Google Cloud; non-Google paths work but feel like second-class citizens API surface is still evolving — breaking changes between minor versions have been common through 2025-2026 Multi-agent orchestration primitives are powerful but the graph/callback model has a real learning curve compared to a plain prompt loop Agent Engine deployment is convenient but locks you into GCP billing and quotas TypeScript/Kotlin support lags the Python SDK in features and community examples	Does not disclose which underlying LLM powers scoring, making bias auditing difficult AI scoring on video responses is inherently opaque and may disadvantage neurodivergent or ESL candidates Feature set is narrower than enterprise incumbents like HireVue or Modern Hire Annual billing is the headline price; monthly billing is likely higher Limited public information on data-retention, GDPR, and candidate-consent workflows No public API documentation for teams that want custom scoring or downstream automations
Website	google.github.io	onewayinterview.com

Pick Google Agent Development Kit (ADK) if

✅ Genuinely open-source (Apache 2.0) with active Google engineering behind it, not a hosted-only product
✅ Multi-language: first-class Python, Java, and Go SDKs — rare among agent frameworks that are usually Python-only
✅ Built-in dev UI (`adk web`) with trace inspection, event stream, and session replay speeds up debugging enormously
✅ Model-agnostic via LiteLLM — Gemini is default but Claude, GPT, and local models plug in cleanly

Pick OneWayInterview if

✅ AI auto-generates structured interview questions from a job title, cutting scorecard setup time
✅ AI screening agent ranks candidates on relevance, clarity, and completeness so recruiters skip weak videos
✅ Anti-cheat options (single-take, forward-only reveal) make async video comparable to live screens
✅ ATS integrations with Breezy HR, Greenhouse, and Lever plug into existing pipelines

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