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Agent-starter-pack Alternatives
Similar projects and alternatives to agent-starter-pack
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adk-python
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
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adk-docs
An open-source, code-first toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
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adk-java
An open-source, code-first Java toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
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devrel-demos
This repo is for code that supports talks, blogs, and other activities the Google Cloud Developer Relations team engages in.
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BentoML
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
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cognita
Discontinued RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
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adk-docs-ext
Provides Gemini with up-to-date information about ADK. The documentation content is sourced from llms.txt - either from the official ADK-Docs repo, or one you supply.
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sweets-vault
A child shows their homework to the Sweets Vault. The Agent scans it, critiques the solution, and decides the effort is worth a prize. It unlocks a drawer with sweets.
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iam-bob-adk-python
Intent Agent Model (IAM) — Bob reference runtime on Google ADK. Historical V1. IAM = Intent Agent Model, not Identity and Access Management.
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agent-starter-pack discussion
agent-starter-pack reviews and mentions
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Building "Sweets Vault" - a multimodal Gemini Agent with physical hardware integration
To kick-start the agent development, I leveraged the agent-starter-pack templates. It provides a production-ready foundation with FastAPI, frontend UI integration, and built-in observability.
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Building Capabilities for a Multi-Agent System with Google ADK, MCP, and Cloud Run
The Dev Signal system was built by first running the Agent Starter Pack, following the automated architect workflow described in the Agent Factory episode by Remigiusz Samborski and Vlad Kolesnikov. This foundation provided the project's modular directory structure, which is used to separate concerns between Agent Logic, Server Code, Utilities, and Tools.
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Deploying a Multi-Agent System with Terraform and Cloud Run
To help you transition from this local prototype to a production service, this final part focuses on building the production backbone of your agent using the foundational deployment patterns provided by the Agent Starter Pack. We will implement the essential structural components required for monitoring, data integrity, and long-term state management in the cloud. You will learn to implement the application server and helper utilities needed for a production-ready deployment before provisioning secure, reproducible infrastructure with Terraform.
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How to Get Your ADK Agent into Google's Official Community Showcase
Merged PR #580: GoogleCloudPlatform/agent-starter-pack/pull/580
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Agent Factory Recap: Antigravity and Nano Banana Pro with Remik
We started by introducing Agent Starter Pack and using it to spin up a new ADK project.
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Give Your AI Agents Deep Understanding — Creating a Multi-Agent ADK Solution: Design Phase
For this project I didn’t start with the Agent Starter Pack. The starter pack provides a bunch of stuff that I was unlikely to leverage. So I decided to just start from scratch and create this folder hierarchy with some empty files:
- Production-ready templates for GenAI agents on Google Cloud
- 🤖 Déployer son agent sur Google Vertex AI Agent Engine
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A note from our sponsor - SaaSHub
www.saashub.com | 13 Aug 2026
Stats
GoogleCloudPlatform/agent-starter-pack is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of agent-starter-pack is Python.
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