Google Agent Development Kit (ADK) vs Moveworks

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

	Google Agent Development Kit (ADK) Agents	Moveworks Agents
Tagline	Google's open-source framework for building, evaluating, and deploying production AI agents	The enterprise AI assistant that searches, answers, and takes action across your business systems
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).	Enterprise· Enterprise-only pricing; no public tiers. Quoted per organization based on employee count, integrations, and agent scope. Contact sales for a quote.
Model	Gemini (default) plus Claude, GPT-4/5, Llama, and other providers via LiteLLM	Orchestrates multiple enterprise-ready LLMs (undisclosed mix, historically including OpenAI GPT and in-house models via its Reasoning Engine)
Editorial score	—	8.7 / 10
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	IT service desk ticket deflectionHR policy Q&A and self-servicePassword resets and access provisioningSoftware license and procurement requestsEnterprise search across Slack, Drive, SharePoint, ConfluenceFinance and expense approvalsMulti-language employee supportInternal knowledge gap analyticsCustom agent building for domain workflowsSales enablement content lookup
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	Deep, permission-aware integrations across 50+ enterprise systems (Slack, Teams, ServiceNow, Jira, Okta, Workday, Confluence, SharePoint, Google Drive, and more) 1000+ pre-built agents plus Agent Studio dramatically shortens time-to-value versus building agents from scratch Strong multi-channel delivery — Slack, Teams, web, mobile, and portal — from a single reasoning engine 100+ language support makes it viable for genuinely global workforces Employee Experience Insights surface knowledge gaps and top intents, useful for content and ops teams Backed by ServiceNow post-acquisition, giving long-term platform stability and roadmap alignment with the dominant ITSM vendor
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	Enterprise-only pricing with no public tiers, no self-serve trial, and long procurement cycles Overkill and cost-prohibitive for SMBs or teams under a few thousand employees Vendor lock-in risk is real — agents, knowledge, and integrations live inside the Moveworks/ServiceNow platform Post-ServiceNow acquisition, the standalone product roadmap and pricing posture are still evolving Not a developer/coding assistant — teams looking for a copilot for engineers should look elsewhere
Website	google.github.io	www.moveworks.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 Moveworks if

✅ Deep, permission-aware integrations across 50+ enterprise systems (Slack, Teams, ServiceNow, Jira, Okta, Workday, Confluence, SharePoint, Google Drive, and more)
✅ 1000+ pre-built agents plus Agent Studio dramatically shortens time-to-value versus building agents from scratch
✅ Strong multi-channel delivery — Slack, Teams, web, mobile, and portal — from a single reasoning engine
✅ 100+ language support makes it viable for genuinely global workforces

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