Deploying and managing AI agents across an organization presents significant complexity. Most current AI agents rely on Retrieval-Augmented Generation (RAG). These systems require extensive configuration. They involve building search pipelines, engineering prompts, and continuous tuning to achieve accurate results.
This article examines how Google AgentSpace improves the AI agent platform. It discusses how enterprise-grade agents drive business value. We detail core features, provide practical guidance, and introduce the Agent Development Kit (ADK) and Agent Garden. These tools give organizations full control over automation strategies.
AgentSpace simplifies this process. It offers a streamlined approach to interacting with organizational data.
- No complex setup
- No manual system integration
- Connect tools once
- Ask questions in plain English
- Receive instant answers
Google AgentSpace simplifies enterprise information access
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Google AgentSpace serves as a single destination for enterprise information discovery, content generation, and agent management. The platform provides three core capabilities:
- Connect to all enterprise data sources • Provide Google-quality search • Enforce access controls • Maintain Google Cloud-grade security, privacy, and compliance • Locate accurate enterprise information efficiently
- Enterprise search and multimodal chat powered by Gemini models. The system connects to enterprise data sources to ensure accuracy and alignment with business facts.
- AgentSpace serves as the central hub for enterprise agents. It integrates Search and Gemini models. Users access agents across the enterprise. Access does not depend on the building team or runtime location. Enterprises can deploy agents from the Google Cloud Marketplace. Partners develop and publish these agents. End users discover and use agents easily. Administrators organize and govern agents in one place.
The right platform and tools enable agents to become a core part of daily work.
This is a new way of working, not just another tool.
We built custom agents when existing ones did not meet our needs. We integrated these agents into AgentSpace.
AgentSpace integrates diverse data sources to consolidate all information into a single view:
Google Cloud and Workspace
- BigQuery, Cloud Storage, Cloud SQL, Firestore, Spanner, Bigtable, AlloyDB
- Healthcare API (FHIR), NotebookLM, Google Drive, Gmail, Calendar, Sites, Groups
Manual and Custom Sources
- Website content via public page crawl
- People data via custom connector
- Announcements for app home pages
- API for manual imports
Third-party tools
- Salesforce, ServiceNow, Microsoft Outlook, Teams, Entra ID, Dynamics 365
- Confluence, Jira (Cloud and Data Center), SharePoint, OneDrive, Dropbox, Box
- Slack, Trello
Google Agentspace Features: Enterprise AI Agents for Controlled Scale
Google Agentspace serves organizations that require both flexibility and control.
- Discovery: Instant search across structured and unstructured data with fine-grained access control.
- Interaction: Multimodal chat powered by Gemini. Supports text, voice, and images for natural user experiences.
- Governance: One dashboard to monitor agent usage, apply policies, and manage versions.
Standardizing these capabilities reduces deployment time by up to 50%. This cuts maintenance overhead and allows focus on innovation.
Introducing Agent Development Kit and Agent Garden: Building agents with an open approach
The Agent Development Kit (ADK) is an open-source framework for building agents and multi-agent systems. It simplifies construction while maintaining control over agent behavior.
ADK is currently available in Python. Additional language support will arrive later in the year. You can:
- Control agent reasoning, collaboration, and decision-making processes. Use deterministic guardrails and orchestration controls to define agent behavior.
- Enable human-like conversations. ADK supports bidirectional audio and video streaming with minimal code. This feature moves interaction beyond text into rich, interactive dialogue. View the interactive agent demo from the NEXT 2025 opening keynote, built on ADK, here.
- Accelerate development with Agent Garden. This collection of ready-to-use samples and tools is accessible within ADK. Use pre-built agent patterns and components to speed up implementation and learn from working examples.
- Select your model. ADK supports Gemini and any model accessible via Model Garden. You can choose from 200+ models from providers including Anthropic, Meta, Mistral AI, AI21 Labs, CAMB.AI, and Qodo.
- Select your deployment target. Options include local debugging and containerized production environments such as Cloud Run, Kubernetes, or Vertex AI. ADK supports Model Context Protocol (MCP) for secure data connections.
- Deploy to production via direct integration with Vertex AI. This path reduces the overhead of moving agents from development to enterprise-scale operations.
ADK works with your existing tools but is optimized for Gemini and Vertex AI. Agents built with ADK and Gemini 2.5 Pro Experimental use enhanced reasoning to break down complex problems. They also connect to your systems through tool use capabilities. You can deploy these agents to a fully managed runtime and operate them at enterprise scale using the native Vertex AI integration.
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
- Onboard your Google Cloud project and connect the first data source.
- Browse the marketplace to install prebuilt agents and review implementation best practices.
- Develop custom agents using the Agent Development Kit (ADK). Manage agents centrally in Google Agentspace.
Adopt AI agents as a core component of business operations with Google Agentspace.
SquareShift offers AI implementation services for enterprise agents like the custom agents we built and integrated into AgentSpace.
To go further, read how to build a Slack bot for Google AgentSpace and how AgentSpace data storage and retrieval works.