The Future of Work is Here: Google AgentSpace Leads the AI Agent Revolution

Have you ever felt overwhelmed by the complexity of deploying and managing AI agents across your organization? Most AI agents today are built using RAG (Retrieval-Augmented Generation). While powerful, these systems can be complicated. They need a lot of setup  like creating search pipelines, writing the right prompts, and constantly changing  things to get good answers.

 In this Blog, we’ll explore how Google Agentspace revolutionizes AI agent platforms, empowers enterprise AI agents, and accelerates your path to tangible business value. We’ll dive into its core features, share practical advice, and introduce two powerful tools Agent development kit (ADK) and Agent Garden that put you in full control of your automation strategy.

AgentSpace makes this much easier. It’s not just another AI agent - it’s a smarter, simpler way to work with your data.

No complex setup. No need to connect different systems by hand. Just connect your tools once, ask questions in plain English, and get instant answers.

That’s where Google AgentSpace changes everything

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Agentspace could be the one single destination for information discovery, content generation, and agents within the enterprise. It is essentially three things:

1. It can connect to all the different data sources within the enterprise and provide a Google-quality search with access controls being respected and Google Cloud-grade security, privacy, and compliance, so you can find the right information easily within the enterprise

   
   

2. A fully powered enterprise search and multimodal chat using the latest Gemini models, all connected to these data sources, which gives it the grounding and connectivity to enterprise truth

   
   

3. The home for all agents within the enterprise that builds on the foundations of Search and Gemini models. This means that users can access agents across the enterprise - regardless of which team built the agent or where it was running. Enterprises can also use agents from our Google Cloud Marketplace, where partners are developing and publishing them. For end users, you can easily discover and use agents across the enterprise, and for administrators, it's one place to organize and govern them.

   
   

With the right platform and tools in place, the path is clear for agents to become an even more integral part of our daily work.

This isn’t just another tool. It’s a new way of working.

In some cases, existing agents didn’t meet our needs - so we built custom agents from scratch and integrated them into AgentSpace.

AgentSpace also supports a wide range of data sources - making it easy to bring everything into one view:

Google Cloud & Workspace:

• BigQuery, Cloud Storage, Cloud SQL, Firestore, Spanner, Bigtable, AlloyDB

• Healthcare API (FHIR), NotebookLM, Google Drive, Gmail, Calendar, Sites, Groups

  
  

Manual & Custom Sources:

• Website Content (crawl public pages)

• People Data via Custom Connector

• Announcements (for app home pages)

• API (manual imports)

  
  

Third-party Tools:

• Salesforce, ServiceNow, Microsoft Outlook, Teams, Entra ID, Dynamics 365

• Confluence, Jira (Cloud & Data Center), SharePoint, OneDrive, Dropbox, Box

• Slack, Trello

  
  

Google Agentspace - Enterprise AI Agents Unleashed

Google Agentspace is the ideal AI agent platform for organizations that demand both flexibility and control:

1. Discovery: Instant search across structured and unstructured data, with fine-grained access control.

   
   

2. Interaction: Multimodal chat powered by Gemini, supporting text, voice, and images for natural user experiences.

   
   

3. Governance: One dashboard to monitor agent usage, apply policies, and manage versions.

By standardizing these capabilities, Google Agentspace reduces deployment time by up to 50% and cuts maintenance overhead, freeing you to focus on innovation.

Introducing Agent Development Kit and Agent Garden: Building agents with an open approach

Agent Development Kit (ADK) is our new open-source framework that simplifies the process of building agents and sophisticated multi-agent systems while maintaining precise control over agent behavior.

Currently available in Python (more languages coming later in the year), you can:

• Shape  how your agents think, reason, and collaborate through deterministic guardrails and orchestration controls, giving you precise control over agent behavior and decision-making processes

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• Interact with your agents in human-like conversations with ADK's unique bidirectional audio and video streaming capabilities. With just a few lines of code, you can create natural interactions that change how you work with agents moving beyond text into rich, interactive dialogue. Check out the demo of an interactive agent from the opening keynote at NEXT 2025 built on the ADK here.

  
  

• Jumpstart your development with Agent Garden, a collection of ready-to-use samples and tools directly accessible within ADK. Leverage pre-built agent patterns and components to accelerate your development process and learn from working examples.

  
  

• Choose the model that works best for your needs. ADK works with your model of choice – whether it is Gemini or your any model accessible via Model Garden. Beyond Google’s models, you can choose across 200+ models from providers like Anthropic, Meta, Mistral AI, AI21 Labs, CAMB.AI, Qodo, and more. 

  
  

• Select your deployment target, be it local debugging or any containerized production deployment, such as Cloud Run, Kubernetes, or Vertex AI. ADK also supports Model Context Protocol (MCP), enabling secure connections between your data and agents.

  
  

• Deploy to production using the direct integration to Vertex AI. This clear, reliable path from development to enterprise-grade deployment removes the typical overhead associated with moving agents to production.

  
  

While ADK works with your preferred tools, it’s optimized for Gemini and Vertex AI. For example, AI agents built with ADK using Gemini 2.5 Pro Experimental can break down complex problems through Gemini’s enhanced reasoning capabilities, and work with your preferred systems through its tool use capabilities. You can also deploy this agent to a fully-managed runtime and operate it at enterprise scale, using the native integration to Vertex AI from ADK.

https://cloud.google.com/blog/products/ai-machine-learning/build-and-manage-multi-system-agents-with-vertex-ai?utm_source=chatgpt.com

Getting Started with Google Agentspace:

1. Sign Up & Connect: Quickly onboard your Google Cloud project and link your first data source.

2. Explore Prebuilt Agents: Browse the marketplace to install examples and learn best practices.

3. Build & Govern: Leverage Agent development kit (ADK) to craft custom agents, then manage them centrally within Google Agentspace.

   
   

Ready to transform your workplace and elevate your enterprise AI agents? With Google Agentspace, you’re not just using another tool, you're adopting a new way of working that puts AI agents at the heart of your operations.