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Agent Development Kit (ADK) vs Claude Cowork

Bottom line

Agent Development Kit (ADK) is free, while Claude Cowork has a free plan plus paid upgrades. Agent Development Kit (ADK) is open source and Claude Cowork is not. You can run Agent Development Kit (ADK) on your own machine or server; Claude Cowork is hosted by the vendor.

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

Claude Cowork

Freemium

Best for Knowledge workers handling repetitive desktop tasks

Visit Claude Cowork 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.

Claude Cowork

Claude Cowork

Running on Claude Opus 4.7 with a 1M context window, Cowork operates as a desktop agent that plans multi-step tasks, takes screenshots to read your actual screen, and controls mouse, keyboard, and shell commands to execute work inside an isolated VM. It handles file organization, bulk renaming, PDF data extraction, and expense tracking without needing a human to babysit each step — the vendor states it includes self-verification logic that checks its own output before reporting back. The ceiling appears when tasks require judgment calls outside a defined scope: the agent surfaces ambiguity rather than resolving it, which means complex editorial or legal review work still needs you at the keyboard. No self-hosting option exists, so teams with strict data-residency requirements are stopped before they start.

AttributeAgent Development Kit (ADK)Claude Cowork
PricingFreeFreemium
Price—$20/mo
Pricing checkedNot checked yetJun 11, 2026
Free trialNot statedNot stated
Open sourceYesNo
Has APIYesYes
Self-hosted optionYesNo
PlatformsPython, TypeScript, Go, Java, KotlinmacOS, Windows
LanguagesPython, TypeScript, Go, and Java—
Released2025-042026-01-12
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
  • Computer Use API captures screenshots up to 3.75 MP and reads fine UI details in real time, so the agent can operate desktop software that exposes no programmatic API — no integration work required on your end.
  • Built-in self-verification logic checks the agent's own output before it reports back, which means fewer tasks return with silent errors that surface only when a human reviews the result.
  • Folder-level permissions combined with an isolated VM contain what the agent can touch, so a runaway task cannot silently rewrite files outside the scope you defined.
  • A 1M context window lets the agent hold an entire long-horizon workflow in memory across steps — processing 24 monthly expense reports into a single spreadsheet without losing state partway through.
  • Runs on both macOS and Windows via Claude Desktop per the vendor, so cross-platform teams do not need to maintain separate tooling or workflows for different operating systems.
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
  • Tasks requiring judgment outside a defined scope — deciding whether duplicate files should be merged or which ambiguous expense belongs to which project — cause the agent to pause and surface the question rather than resolve it; teams doing high-ambiguity document review find they are intervening constantly, which erodes the time savings the tool is supposed to deliver.
  • No self-hosted option exists and all computer-use actions route through Anthropic's cloud, so teams with data-residency requirements or policies prohibiting third-party processing of internal screenshots cannot deploy this tool at all — those teams switch to an on-premises RPA solution or a self-hosted agent framework instead.
  • The tool is paid-only with no free tier or trial, meaning teams cannot run a low-stakes proof of concept before committing budget; engineering leads evaluating the tool against alternatives must either pay upfront or rely on the vendor's demo materials to assess fit.

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

Claude Cowork

Freemium

Best for Knowledge workers handling repetitive desktop tasks

Visit Claude Cowork See full review

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

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