Google's Agent Development Kit (ADK) is the fastest way to build multi-agent AI systems on Gemini + Google Cloud. XPndAI engineers who have built with ADK can ship your production agent in 4–8 weeks.
Google ADK · Gemini 2.0/2.5 · Google Cloud · Fixed price · India-built · Source code ownership
Google Agent Development Kit — the framework, explained for buyers
Open-source Python framework from Google for building multi-agent AI systems. Designed for Gemini models, Google Cloud (Vertex AI), and enterprise-grade agent orchestration. Released 2025.
Best for: Google Cloud shops, Gemini-based agents, regulated industries needing GCP deployment.
ADK is ideal if you're on Google Cloud, want native Gemini integration, need A2A (Agent-to-Agent) protocol, or require enterprise support from Google. We also build on LangChain, CrewAI, and OpenAI Agents SDK — we recommend the right one for your use case.
Production-grade agents — not demos
Supervisor agent + specialist sub-agents built with ADK. Complex multi-step workflows handled autonomously.
Gemini Vision + ADK pipeline that reads, understands, and acts on PDFs, images, and forms.
ADK agent that searches, synthesises, and produces structured research reports from multiple sources.
Connects to your internal APIs, databases, and tools via ADK tool-use. Automates back-office processes.
Production chatbot or voice AI built on Gemini 2.0 Flash/Pro with grounding and search-aug.
Deployed on Vertex AI Agent Engine, Cloud Run, or GKE — with IAM, VPC, and logging for enterprise security.
We build on all major frameworks — this helps you pick the right one
| Framework | Best For | Model | Cloud | XPndAI Builds? |
|---|---|---|---|---|
| Google ADK | Google Cloud shops, Gemini-first, A2A protocol | Gemini 2.0/2.5 | GCP / Vertex AI | ✓ Yes |
| Microsoft Azure AI | Azure/M365 shops, Copilot Studio, enterprise | GPT-4o / Azure OAI | Azure | ✓ Yes |
| OpenAI Agents SDK | OpenAI-first, simplest to ship fast | GPT-4o, o3 | Any | ✓ Yes |
| LangChain / LangGraph | Complex graph-based multi-step agents | Any LLM | Any | ✓ Yes |
| CrewAI | Role-based multi-agent teams | Any LLM | Any | ✓ Yes |
| Vapi / Retell | Real-time voice AI agents | Any LLM + TTS | Any | ✓ Yes |
Fixed price. Source code. GCP deployment included.
One production agent on Google ADK — tools, memory, Gemini integration. 4–6 weeks.
Supervisor + specialist agent hierarchy with ADK. Complex orchestration. 8–14 weeks.
Full AI system on GCP — Vertex AI, Cloud Run, BigQuery, IAM. Enterprise SLA. 4–9 months.
Google ADK is an open-source Python framework for building AI agents and multi-agent systems. It provides agent orchestration, tool-use, memory management, and A2A (Agent-to-Agent) communication protocol. It integrates natively with Gemini models and Google Cloud (Vertex AI, Cloud Storage, BigQuery).
Not strictly — ADK can run locally or on any cloud. But for production enterprise deployments, GCP (Vertex AI Agent Engine, Cloud Run) is the recommended and most supported target. We can set up and manage your GCP environment.
Yes. We assess your existing agent architecture and determine if ADK migration adds value. Sometimes it does (better Gemini integration, A2A support); sometimes LangChain is already optimal. We give an honest recommendation.
Yes. Gemini 2.0 Flash and Pro have strong multilingual capability — Hindi, Tamil, Telugu, Bengali, and more. ADK agents built for Indian market communication work well in these languages.
A2A (Agent-to-Agent) is a Google standard for agents to communicate with each other — an agent can call another agent as a tool. This enables large multi-agent systems where specialist agents handle sub-tasks and report back to a supervisor agent.
Tell us your use case. We'll recommend whether Google ADK, LangChain, or OpenAI Agents SDK is the right choice — and show you a working prototype in 48 hours.
💬 WhatsApp — Free ADK Consultation