THE COMPARISON / A CLOSER LOOK
Google Agent Development Kit (ADK) vs Agency Swarm
Compare the listed plans, useful capabilities, and practical tradeoffs.
Prices and features reflect editorial records. Check vendor terms before you buy; documentary checks do not imply hands-on testing.
Google Agent Development Kit (ADK)
🔴DeveloperAI Automation Platforms
Google's open-source, code-first framework for building, evaluating, and deploying AI agents.
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$0Agency Swarm
AI Automation Platforms
Agency Swarm is an open-source Python framework for building collaborative agent teams ("agencies") on top of the OpenAI Agents SDK / Responses API, with…
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FreeFeature Comparison
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Google Agent Development Kit (ADK) - Pros & Cons
Pros
- ✓Completely free and open-source under Apache 2.0 license
- ✓Model-agnostic — works with Gemini, GPT, Claude, and open-source models via LiteLLM
- ✓Built-in evaluation framework that LangChain and CrewAI lack out of the box
- ✓First-class Vertex AI Agent Engine deployment with managed scaling and monitoring
- ✓Backed by Google's engineering team — same framework powers Agentspace internally
- ✓Supports both Python (1.0.0+) and Java (0.1.0+), unlike most single-language competitors
- ✓Native bidirectional streaming for voice and video agent experiences
Cons
- ✗Requires Python or Java programming knowledge — no visual builder
- ✗Released April 2025, so community is smaller than LangChain's 90K+ GitHub stars
- ✗Documentation still maturing for advanced multi-agent patterns
- ✗Best deployment experience locked to Google Cloud / Vertex AI
- ✗Fewer third-party integrations than LangChain's 700+ ecosystem connectors
- ✗Steeper learning curve than no-code alternatives like Relevance AI or BuildShip
Agency Swarm - Pros & Cons
Pros
- ✓Production-shaped by default — Pydantic validation, deployment patterns, error correction
- ✓Cleanest role-based mental model in the category — agencies map to real service delivery
- ✓Direct access to OpenAI's latest Agents SDK / Responses API features
- ✓MIT-friendly open source, no hosted-vendor lock-in
- ✓Migration guide from v0.x to v1.x is well-maintained
Cons
- ✗OpenAI-runtime coupling — third-party models work but the primitives are OpenAI's
- ✗Smaller community than LangChain / CrewAI — fewer Stack Overflow answers
- ✗No hosted product — you own the ops story (Docker, scaling, observability)
- ✗Best on workflows that fit a small team; less natural for large DAG-shaped pipelines
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