--- title: "agent-control vs agent-starter-pack" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentcontrol-agent-control-vs-googlecloudplatform-agent-starter-pack" tools: ["agentcontrol-agent-control", "googlecloudplatform-agent-starter-pack"] --- # agent-control vs agent-starter-pack *GraphCanon updated Sep 20, 2026* ## Verdict Pick agent-control if agent-control is a highly configurable and extensible centralized agent control system that governs runtime behavior of agents at scale via UI or SDK/API; pick agent-starter-pack if agent-starter-pack offers built-in CI/CD, evaluation tools, and observability for deploying generative AI agents on Google Cloud with Python. [agent-control](https://agentcontrol.dev) reports 305 GitHub stars, 51 forks, and 36 open issues, last pushed Sep 9, 2026. [agent-starter-pack](http://goo.gle/agents-cli) has 6.6k stars, 1.5k forks, and 49 open issues, last pushed Jul 21, 2026. Figures are from public GitHub metadata via [agent-control's repository](https://github.com/agentcontrol/agent-control) and [agent-starter-pack's repository](https://github.com/GoogleCloudPlatform/agent-starter-pack). | | [agent-control](/tools/agentcontrol-agent-control.md) | [agent-starter-pack](/tools/googlecloudplatform-agent-starter-pack.md) | | --- | --- | --- | | Tagline | Centralized agent control plane for governing runtime agent behavior at scale | Ship AI Agents to Google Cloud in minutes with built-in CI/CD, evaluation, and observability | | Stars | 305 | 6,558 | | Forks | 51 | 1,500 | | Open issues | 36 | 49 | | Language | Python | Python | | Adopt for | agent-control is a highly configurable and extensible centralized agent control system that governs runtime behavior of agents at scale via UI or SDK/API. | agent-starter-pack offers built-in CI/CD, evaluation tools, and observability for deploying generative AI agents on Google Cloud with Python. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | AI Agents | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agent-control](/tools/agentcontrol-agent-control.md) | [agent-starter-pack](/tools/googlecloudplatform-agent-starter-pack.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 1d | 60d | | Open issues (now) | 36 | 49 | | Stars delta | +16 (30d) | +21 (30d) | | Full report | [trust report](/tools/agentcontrol-agent-control/trust.md) | [trust report](/tools/googlecloudplatform-agent-starter-pack/trust.md) | ## Shared compatibility - **Python**: [agent-control](/tools/agentcontrol-agent-control.md) - Python runtime; [agent-starter-pack](/tools/googlecloudplatform-agent-starter-pack.md) - Python runtime ## Decision facts: agent-control - **Adopt for:** agent-control is a highly configurable and extensible centralized agent control system that governs runtime behavior of agents at scale via UI or SDK/API. ## Decision facts: agent-starter-pack - **Requirements:** Depends on Python 3.10+.; Requires the Google Cloud SDK for interacting with GCP services.; Terraform is needed for deployment purposes.; Make utility should be installed for development tasks. - **Adopt for:** agent-starter-pack offers built-in CI/CD, evaluation tools, and observability for deploying generative AI agents on Google Cloud with Python. ## Choose when ### Choose agent-control if… - Tags unique to agent-control: agentic-workflow, ai-safety, guardrails, llm. - agent-control ships Docker support for self-hosted deployment. - Use agent-control if you need to centrally manage the behavior of multiple AI agents in production environments. ### Choose agent-starter-pack if… - Requirements: Depends on Python 3.10+.; Requires the Google Cloud SDK for interacting with GCP services.; Terraform is needed for deployment purposes.; Make utility should be installed for development tasks.. - Tags unique to agent-starter-pack: agents, gcp, gemini, genai-agents. - Also covers Evaluation & Observability. - You are working with Google Cloud and wish to deploy generative AI agents quickly using production-ready templates that come with integrated CI/CD pipelines. ## When NOT to use agent-control - Avoid using agent-control when your project does not require centralized control for large-scale AI agent management. - Not recommended if your setup is simplistic or relies solely on languages other than Python or TypeScript, since the tool primarily supports these two. ## When NOT to use agent-starter-pack - Your project is hosted on a cloud provider other than Google Cloud, as this tool is optimized for GCP services and uses Terraform specifically configured for deployment with it. - You do not need or want built-in CI/CD pipelines and evaluation tools, preferring to manage these components separately through different tools or self-configured setups. ## Common questions ### What is the difference between agent-control and agent-starter-pack? agent-control: Centralized agent control plane for governing runtime agent behavior at scale. agent-starter-pack: Ship AI Agents to Google Cloud in minutes with built-in CI/CD, evaluation, and observability. See the comparison table for live GitHub stats and shared categories. ### When should I choose agent-control over agent-starter-pack? Choose agent-control over agent-starter-pack when Tags unique to agent-control: agentic-workflow, ai-safety, guardrails, llm; agent-control ships Docker support for self-hosted deployment; Use agent-control if you need to centrally manage the behavior of multiple AI agents in production environments. ### When should I choose agent-starter-pack over agent-control? Choose agent-starter-pack over agent-control when Requirements: Depends on Python 3.10+.; Requires the Google Cloud SDK for interacting with GCP services.; Terraform is needed for deployment purposes.; Make utility should be installed for development tasks.; Tags unique to agent-starter-pack: agents, gcp, gemini, genai-agents; Also covers Evaluation & Observability; You are working with Google Cloud and wish to deploy generative AI agents quickly using production-ready templates that come with integrated CI/CD pipelines. ### When should I avoid agent-control? Avoid using agent-control when your project does not require centralized control for large-scale AI agent management. Not recommended if your setup is simplistic or relies solely on languages other than Python or TypeScript, since the tool primarily supports these two. ### When should I avoid agent-starter-pack? Your project is hosted on a cloud provider other than Google Cloud, as this tool is optimized for GCP services and uses Terraform specifically configured for deployment with it. You do not need or want built-in CI/CD pipelines and evaluation tools, preferring to manage these components separately through different tools or self-configured setups. ### Is agent-control or agent-starter-pack more popular on GitHub? agent-starter-pack has more GitHub stars (6,558 vs 305). Stars measure visibility, not whether either tool fits your constraints. ### Are agent-control and agent-starter-pack open source? Yes - both are open-source projects on GitHub (agent-control: Apache-2.0, agent-starter-pack: Apache-2.0). ### Where can I find alternatives to agent-control or agent-starter-pack? GraphCanon lists graph-backed alternatives at [agent-control alternatives](/tools/agentcontrol-agent-control/alternatives) and [agent-starter-pack alternatives](/tools/googlecloudplatform-agent-starter-pack/alternatives) ([agent-control markdown twin](/tools/agentcontrol-agent-control/alternatives.md), [agent-starter-pack markdown twin](/tools/googlecloudplatform-agent-starter-pack/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/agentcontrol-agent-control-vs-googlecloudplatform-agent-starter-pack.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agent-control or agent-starter-pack? agent-control: Very active. agent-starter-pack: Steady. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for agent-control and agent-starter-pack? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agent-control trust report](/tools/agentcontrol-agent-control/trust); [agent-starter-pack trust report](/tools/googlecloudplatform-agent-starter-pack/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agentcontrol-agent-control`](/api/graphcanon/graph?tool=agentcontrol-agent-control) - 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/_