--- title: "agent-starter-pack" type: "tool" slug: "googlecloudplatform-agent-starter-pack" canonical_url: "https://www.graphcanon.com/tools/googlecloudplatform-agent-starter-pack" github_url: "https://github.com/GoogleCloudPlatform/agent-starter-pack" homepage_url: "http://goo.gle/agents-cli" stars: 6506 forks: 1492 primary_language: "Python" license: "Apache-2.0" categories: ["ai-agents"] tags: ["llmops", "agents", "gemini", "observability", "genai-agents", "generative-ai", "gcp", "mlops"] updated_at: "2026-07-07T19:52:38.952232+00:00" --- # agent-starter-pack > Ship AI Agents to Google Cloud in minutes, not months A repository providing production-ready templates for GenAI agents on Google Cloud, including built-in CI/CD, evaluation, and observability. ## Facts - Repository: https://github.com/GoogleCloudPlatform/agent-starter-pack - Homepage: http://goo.gle/agents-cli - Stars: 6,506 · Forks: 1,492 · Open issues: 46 · Watchers: 64 - Primary language: Python - License: Apache-2.0 - Last pushed: 2026-06-30T02:50:06+00:00 ## Categories - [AI Agents](/categories/ai-agents.md) ## Tags llmops, agents, gemini, observability, genai-agents, generative-ai, gcp, mlops ## Related tools - [ECC](/tools/affaan-m-ecc.md) - The agent harness performance optimization system (★ 226,991) - [hermes-agent](/tools/nousresearch-hermes-agent.md) - The self-improving AI agent built by Nous Research (★ 210,911) - [AutoGPT](/tools/significant-gravitas-autogpt.md) - AutoGPT: Build, Deploy, and Run AI Agents (★ 185,420) - [ollama](/tools/ollama-ollama.md) - Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. (★ 175,664) - [langflow](/tools/langflow-ai-langflow.md) - Langflow is a powerful platform for building and deploying AI-powered agents and workflows. (★ 151,311) - [dify](/tools/langgenius-dify.md) - Production-ready platform for agentic workflow development (★ 148,074) - [firecrawl](/tools/firecrawl-firecrawl.md) - The API to search, scrape, and interact with the web at scale. (★ 147,150) - [langchain](/tools/langchain-ai-langchain.md) - The agent engineering platform. (★ 141,215) ## README (excerpt) ```text # 🚀 Agent Starter Pack Try in Firebase Studio > ## ⚠️ Agent Starter Pack is in maintenance mode — switch to `agents-cli` > > **Active development has moved to [`agents-cli`](https://github.com/google/agents-cli)**, the next evolution of Agent Starter Pack. ASP will continue to receive critical fixes only — **no new features, no new templates, no new deployment targets.** New projects should start with `agents-cli`; existing projects should migrate. > > ```bash > uvx google-agents-cli setup > ``` > > **Migration takes minutes** — your agent code, tests, Terraform, and CI/CD carry over with no rewrites. > > **What you gain:** > - 🛠️ **Unified CLI** in place of the Makefile — `run`, `deploy`, `eval run`, `eval compare`, `playground`, `lint`, and more > - 🧠 **Bundled coding-agent skills** that turn Claude Code, Gemini CLI, or Codex into an ADK expert > - 🔁 **End-to-end lifecycle tooling**: scaffold → eval → deploy → publish → observe > - ☁️ **First-class support** for Google Cloud's Agent Platform > > **→ [Migration guide](https://google.github.io/agents-cli/reference/from-agent-starter-pack/)**  •  [Get started](https://google.github.io/agents-cli/)  •  [Docs](https://google.github.io/agents-cli/)  •  [GitHub](https://github.com/google/agents-cli)  •  [PyPI](https://pypi.org/project/google-agents-cli/) --- A Python package that provides **production-ready templates** for GenAI agents on Google Cloud. Focus on your agent logic—the starter pack provides everything else: infrastructure, CI/CD, observability, and security. | ⚡️ Launch | 🧪 Experiment | ✅ Deploy | 🛠️ Customize | |---|---|---|---| | [Pre-built agent templates](./agent_starter_pack/agents/) (ReAct, RAG, multi-agent, Live API). | [Vertex AI evaluation](https://cloud.google.com/vertex-ai/generative-ai/docs/models/evaluation-overview) and an interactive playground. | Production-ready infra with [monitoring, observability](https://googlecloudplatform.github.io/agent-starter-pack/guide/observability), and [CI/CD](https://googlecloudplatform.github.io/agent-starter-pack/guide/deployment) on [Cloud Run](https://cloud.google.com/run) or [Agent Engine](https://cloud.google.com/vertex-ai/generative-ai/docs/agent-engine/overview). | Extend and customize templates according to your needs. 🆕 Now integrating with [Gemini CLI](https://github.com/google-gemini/gemini-cli) | --- ## ⚡ Get Started in 1 Minute **From zero to production-ready agent in 60 seconds using [`uv`](https://docs.astral.sh/uv/getting-started/installation/):** ```bash uvx agent-starter-pack create ```
✨ Alternative: Using pip If you don't have [`uv`](https://github.com/astral-sh/uv) installed, you can use pip: ```bash # Create and activate a Python virtual environment python -m venv .venv && source .venv/bin/activate # Install the agent starter pack pip install --upgrade agent-starter-pack # Create a new agent project agent-starter-pack create ```
**That's it!** You now have a fully functional agent project—complete with backend, frontend, and deployment infrastructure—ready for you to explore and customize. ### 🔧 Enhance Existing Agents Already have an agent? Add production-ready deployment and infrastructure by running this command in your project's root folder: ```bash uvx agent-starter-pack enhance ``` See [Installation Guide](https://googlecloudplatform ``` --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/tools/googlecloudplatform-agent-starter-pack`](/api/graphcanon/tools/googlecloudplatform-agent-starter-pack) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_