Build, scale, govern, and optimize with Gemini Enterprise Agent Platform

Gemini Enterprise Agent Platform is our open and comprehensive platform that empowers businesses to rapidly build, scale, govern, and optimize enterprise-grade agents grounded in your enterprise data. It provides the full-stack foundation and extensive developer choice you need to transform your applications and workflows into powerful, reliable agentic systems at global scale.

API quickstart Get started in Agent Studio Get an API key

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Everything you need to build
production-ready agents

Build

• Build with Agent Platform Learn about the different tools and services you can use to build agents with Agent Platform. arrow_outward
• Agent Development Kit The Agent Development Kit (ADK) is a modular, model-agnostic framework designed to make building and deploying complex AI agents feel just like standard software development. arrow_outward
• Agent Garden Explore Google's library of pre-built agents. arrow_outward
• Agent Studio Low-code canvas for designing complex multi-agent reasoning loops. arrow_outward
• Skill Registry Skill Registry serves as a secure, private, and low-latency repository for managing and discovering agent skills. arrow_outward
• RAG Engine RAG Engine helps you securely connect your private data to LLMs, reducing hallucinations and improving answer accuracy by providing the model with relevant, context-rich information. arrow_outward
• Vector Search Vector Search is an AI-native search engine that combines storage and retrieval into one scalable, auto-tuned platform, simplifying how you store, search, and manage your data for AI applications. arrow_outward
• Managed Agents API A config-driven, REST-first API for building autonomous agents inside a fully managed sandbox. arrow_outward

Scale

• Deploy agents Deploy agents on Agent Engine using Python SDK, source files, or container images. arrow_outward
• Manage deployed agents Manage and update deployed agents, including scaling and resource allocation. arrow_outward
• Use an agent Interact with deployed agents using the API or SDK. arrow_outward
• Agent Platform Sessions Manage conversational sessions and state for multi-turn interactions. arrow_outward
• Agent Platform Memory Bank Store and retrieve long-term memories for agents to maintain context. arrow_outward
• Set up Memory Bank Configure and initialize the Memory Bank for your agents. arrow_outward
• Generate memories Extract and save memories from agent interactions. arrow_outward
• Fetch memories Retrieve stored memories to provide context to agent executions. arrow_outward

Govern

• Agent Gateway Centralized gateway for routing, securing, and monitoring agent traffic. arrow_outward
• Semantic governance Configure policies to ensure safe and compliant agent behavior. arrow_outward
• Content security Monitor and filter agent inputs and outputs for safety and security. arrow_outward
• Identity & IAM Manage access control and permissions for agents using Google Cloud IAM. arrow_outward
• Share agent Securely share agents across projects or organizations. arrow_outward

Optimize

• Agent evaluation Learn about evaluation concepts and how to assess agent performance. arrow_outward
• Observability overview Monitor agent health, latency, and resource usage. arrow_outward
• Traces Debug complex reasoning loops and tool calls with detailed execution traces. arrow_outward
• Topology Visualize agent architectures and dependency graphs. arrow_outward
• Offline evaluations Run evaluations on static datasets to measure quality and latency. arrow_outward
• Simulated evaluation Simulate user interactions and evaluate agent behavior against custom criteria. arrow_outward
• Online monitoring Continuously monitor and evaluate agent performance in production environments. arrow_outward
• Optimize prompts Auto-tune and optimize prompts to improve agent response quality and efficiency. arrow_outward