Google Agent Development Kit (ADK) vs Opera Neon

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

	Google Agent Development Kit (ADK) Agents	Opera Neon Agents
Tagline	Google's open-source framework for building, evaluating, and deploying production AI agents	An agentic browser from Opera built to act on the web, not just render it.
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).	Paid· Basic: $10 · Pro: $20 · Enterprise: Contact sales
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	Multi-tab web research briefsVendor and product comparison across sourcesAutomated form-filling and repetitive web tasksTurning open tabs into a structured documentAgenda and task extraction from meeting pagesAgent-assisted shopping and travel planningMCP-connected browser automation for developers
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	Agents are first-class citizens: browser is built around them rather than treating chat as a sidebar afterthought. Backed by a 30-year-old browser vendor, so the underlying Chromium base, tab management, ad blocker and VPN are mature. MCP and CLI integration hooks make it composable with wider agent tooling instead of being locked in. Maintains context across tabs, which is genuinely useful for research and comparison tasks. Privacy-first framing with explicit controls over what agents can access. Ships as a full browser, so you do not have to swap tools mid-workflow to use the agent.
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	Paid subscription with pricing not clearly published on the public marketing site, making it hard to evaluate cost upfront. Opera does not disclose which underlying LLM powers the agents, so buyers cannot judge model capability or data-handling directly. Agentic browsers are still an emerging category — reliability, hallucinated actions, and safety controls are unproven at scale. Competing with Perplexity Comet, Dia and Arc-style products means feature parity is a moving target. Switching your default browser is a high-friction commitment compared to trying a web app.
Website	google.github.io	www.operaneon.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 Opera Neon if

✅ Agents are first-class citizens: browser is built around them rather than treating chat as a sidebar afterthought.
✅ Backed by a 30-year-old browser vendor, so the underlying Chromium base, tab management, ad blocker and VPN are mature.
✅ MCP and CLI integration hooks make it composable with wider agent tooling instead of being locked in.
✅ Maintains context across tabs, which is genuinely useful for research and comparison tasks.

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