by GoogleCloudPlatform · Agent Tool · ★ 119
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Multi-Agent Quest Introduction Multi-Agent Quest (aka Agent Bar v2) is a robust multi-agent runtime designed to facilitate the orchestration, execution, and management of complex multi-agent systems. It provides the underlying infrastructure for agent communication, dynamic state management, tool integration, and industry-specific use cases. Note: You can quickly set up the environment by clicking the Open in Cloud Shell button above, which will launch an interactive tutorial. For a detailed step-by-step guide on infrastructure provisioning and deployment, please refer to setup.md. Folder Structure The repository is organized as follows: : The core runtime application. : Contains specialized sub-agents categorized by industry (e.g., , , , , ). : The central registry mapping available agents and industry-specific prompts based on session state configuration. : Event handlers for agent interactions (e.g., System Instructions callback). : Reusable toolsets and context-based utilities for agents. : Evaluation scripts and session data for testing the various agents and prompts. a
| Stars | 119 |
| Forks | 27 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 60.759422211449/100 |
| Open Issues | 40 |
| Last Updated | 2026-07-10 |
| Created | 2025-02-11 |
| Platforms | python |
| Est. Tokens | ~367k |
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agentsmithy is AgentSmithy provides a series of tools and templates that simplify the process of building and deploying custom AI agents on Google Cloud.. It is categorized as a Agent Tool with 119 GitHub stars.
agentsmithy is primarily written in Python. It covers topics such as agents, ai, gcp.
You can find installation instructions and usage details in the agentsmithy GitHub repository at github.com/GoogleCloudPlatform/agentsmithy. The project has 119 stars and 27 forks, indicating an active community.
agentsmithy is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to agentsmithy on Agent Skills Hub include aser, mira-OSS, oreilly-ai-agents. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.