Google Agent Development Kit (ADK) vs Mastra

Google Agent Development Kit (ADK) is free, with no paid plan attached. Mastra is free, with no paid plan attached. Both are listed under Agent Frameworks (Developers), so this is a like-for-like comparison. Neither is ranked above the other — Flocci carries no sponsored placement.

Google Agent Development Kit (ADK) vs Mastra — straight answers

Google Agent Development Kit (ADK) vs Mastra: what is the difference?

Google Agent Development Kit (ADK) is free, with no paid plan attached and is listed for open-source Python/Java framework from Google for building multi-agent systems. Mastra is free, with no paid plan attached and is listed for open-source TypeScript framework (Apache 2.0) for agents, workflows and RAG. Both sit in Agent Frameworks (Developers).

Is Google Agent Development Kit (ADK) or Mastra cheaper to start with?

Neither — Google Agent Development Kit (ADK) and Mastra are both free, so the choice comes down to capability rather than cost. Both entries list what they uniquely do above.

Which should I choose, Google Agent Development Kit (ADK) or Mastra?

Choose Google Agent Development Kit (ADK) if you need open-source Python/Java framework from Google for building multi-agent systems; choose Mastra if you need open-source TypeScript framework (Apache 2.0) for agents, workflows and RAG. Flocci AI Tools does not rank one above the other — it shows both feature sets side by side and lets the requirement decide.

Google Agent Development Kit (ADK) compared with Mastra: pricing tier, category, listed capabilities and links.
 Google Agent Development Kit (ADK)Mastra
Pricing tierFreeFree
Free to startYesYes
CategoryAI Agents & AutomationAI Agents & Automation
TypeAgent Frameworks (Developers)Agent Frameworks (Developers)
Listed capabilities
  • Open-source Python/Java framework from Google for building multi-agent systems
  • Native integration with Vertex AI Agent Engine and Gemini models
  • Model-agnostic — works with non-Google LLMs via LiteLLM
  • Open-source TypeScript framework (Apache 2.0) for agents, workflows and RAG
  • Drops directly into existing React/Next.js apps or runs standalone
  • Built-in workflow engine with suspend/resume and human-in-the-loop steps
Tagsgoogle adk, agent framework, multi-agent orchestration, open source, gemini agents, vertex ai agentstypescript agent framework, mastra ai, open source agents, workflow engine, javascript agents, vercel ai sdk alternative
Websiteadk.devmastra.ai
Full pageGoogle Agent Development Kit (ADK) details →Mastra details →
AlternativesGoogle Agent Development Kit (ADK) alternatives →Mastra alternatives →

Agno

Agent Frameworks (Developers)
free
  • Open-source (Apache-2.0) Python framework, 41.7k GitHub stars
  • AgentOS: FastAPI-based production runtime for deploying agents
  • Control-plane UI for monitoring live agent systems across clouds

AWS Strands Agents

Agent Frameworks (Developers)
free
  • Open-source (6,800+ stars) Python and TypeScript SDK from AWS
  • Steering handlers/hooks that catch agent mistakes before execution
  • Native Bedrock and AWS AgentCore integration, plus any-LLM support

CAMEL

Agent Frameworks (Developers)
freeNew
  • Open-source multi-agent framework focused on scaling agent societies and role-playing
  • Data generation and simulation tooling
  • Apache-licensed

Claude Agent SDK

Agent Frameworks (Developers)
freeNew
  • MIT-licensed Python and TypeScript SDKs exposing the agent loop that powers Claude Code
  • Built-in tools for files, shell and MCP with custom tool support
  • Bring an Anthropic API key; the SDK itself costs nothing

Cloudflare Agents SDK

Agent Frameworks (Developers)
freeNew
  • Framework for building and deploying stateful AI agents on Cloudflare Workers
  • Built-in state, scheduling, WebSockets and MCP support
  • SDK is open source; runs on Cloudflare's free tier to start

DSPy

Agent Frameworks (Developers)
free
  • Open-source (MIT) framework from Stanford NLP, 37k+ GitHub stars
  • Compiles/optimizes prompts automatically against metrics instead of manual prompt tuning
  • Production use at Databricks, Shopify, Dropbox, AWS; Shopify reports ~550x cost reduction