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Agent Development Kit (ADK) vs Browser Use

Bottom line

Agent Development Kit (ADK) is free, while Browser Use has a free plan plus paid upgrades.

Which one should you try?

Agent Development Kit (ADK)

Free

Best for Developers building production-grade multi-agent systems with precise control

Visit Agent Development Kit (ADK) See full review

Browser Use

Freemium

Best for Data extraction teams monitoring 50+ competitor sites daily for pricing, availability, or content changes.

Visit Browser Use See full review

Pricing, capabilities and platforms side by side. Prices are as of the "Pricing checked" date in the table.

Agent Development Kit (ADK)

Agent Development Kit (ADK)

ADK is the open-source agent development framework that lets you build, debug, and deploy reliable AI agents at enterprise scale.

Browser Use

Browser Use

Browser Use is an open-source Python library for autonomous web task automation using LLMs and computer vision. Teams use it to extract competitive data, fill forms at scale, and monitor page changes across hundreds of sites. The tool hits 89.1% success on standard benchmarks and comes with stealth browser support, CAPTCHA solving, and residential proxies across 195+ countries. The vendor also runs a cloud infrastructure option alongside the self-hosted library. Most production teams pair it with managed browser infrastructure and human approval gates for financial or sensitive actions. The sharp edge: LLMs can't reliably distinguish user instructions from webpage content, leaving agents vulnerable to indirect prompt injection attacks that succeed 24% of the time without defenses.

AttributeAgent Development Kit (ADK)Browser Use
PricingFreeFreemium
Price—$29/mo
Pricing checkedNot checked yetJun 11, 2026
Free trialNot statedNot stated
Open sourceYesYes
Has APIYesYes
Self-hosted optionYesYes
PlatformsPython, TypeScript, Go, Java, KotlinLinux, macOS, Windows (Python 3.11+)
LanguagesPython, TypeScript, Go, and JavaPython (primary); CLI available
Released2025-04—
Pros
  • Context is treated like source code with structured assembly of sessions, memory, tool outputs, and artifacts, automatic filtering of irrelevant events, summarization of older turns, lazy-loading of artifacts, and token usage tracking to keep agents fast, efficient, and reliable by default
  • Multi-language support with Python, TypeScript, Go, and Java implementations
  • Model-agnostic and compatible with other frameworks while optimized for Gemini
  • Built-in development UI for testing, evaluating, debugging, and showcasing agents
  • When deploying to Google Cloud, agents inherit managed infrastructure, built-in authentication, Cloud Trace observability, and enterprise-grade security without code changes
  • 89.1% success rate on WebVoyager benchmark—production-ready for data extraction and form automation without constant human intervention.
  • Open-source Python library with active maintenance and three parallel deployment paths: local, cloud-managed, or your own infrastructure.
  • Stealth browser mode with CAPTCHA solving and rotating residential IPs across 195+ countries built in—reduces immediate block rates.
  • Vision-based interactions instead of brittle DOM selectors—survives site layout changes that would break traditional automation.
  • No vendor lock-in on agent logic—your prompts and task definitions stay portable across models and LLM providers.
Cons
  • Optimized primarily for Google Cloud deployment and Gemini models, though model-agnostic capabilities exist
  • Development version builds directly from latest code commits may contain experimental changes or bugs not present in stable release
  • LLMs can't reliably block prompt injection from webpage content—24% of unmitigated agents fall for attacks, requiring sandboxing and human checkpoints for sensitive actions.
  • Success rate still 10 percentage points below 100%—silent failures in production require comprehensive logging and regular monitoring to catch.
  • Each task navigation burns tokens proportional to page complexity—costs scale with site variation and multi-step workflows, especially for READ-heavy scraping.
  • Deployment to production infrastructure requires choosing between managed cloud hosting or maintaining your own Browserbase/Kubernetes setup—no middle ground.
  • Task reliability varies by site—JavaScript-heavy e-commerce and CAPTCHA-protected pages have different success profiles; benchmarks don't predict your specific URLs.

Made up your mind?

Agent Development Kit (ADK)

Free

Best for Developers building production-grade multi-agent systems with precise control

Visit Agent Development Kit (ADK) See full review

Browser Use

Freemium

Best for Data extraction teams monitoring 50+ competitor sites daily for pricing, availability, or content changes.

Visit Browser Use See full review

Related comparisons

Free trials & curated lists

Specs come from each tool's own site and docs (how we test). AIDiveForge is editorially independent.

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