--- title: "agent-starter-pack vs SuperAGI" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/googlecloudplatform-agent-starter-pack-vs-transformeroptimus-superagi" tools: ["googlecloudplatform-agent-starter-pack", "transformeroptimus-superagi"] --- # agent-starter-pack vs SuperAGI *GraphCanon updated Aug 20, 2026* ## Verdict 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; pick SuperAGI if superAGI offers a robust framework for developers aiming to build autonomous AI agents in a streamlined manner. Here are key decision points based on the provided repository data. [agent-starter-pack](http://goo.gle/agents-cli) reports 6.5k GitHub stars, 1.5k forks, and 49 open issues, last pushed Jul 21, 2026. [SuperAGI](https://superagi.com/) has 18k stars, 2.2k forks, and 268 open issues, last pushed Jan 22, 2025. Figures are from public GitHub metadata via [agent-starter-pack's repository](https://github.com/GoogleCloudPlatform/agent-starter-pack) and [SuperAGI's repository](https://github.com/TransformerOptimus/SuperAGI). | | [agent-starter-pack](/tools/googlecloudplatform-agent-starter-pack.md) | [SuperAGI](/tools/transformeroptimus-superagi.md) | | --- | --- | --- | | Tagline | Ship AI Agents to Google Cloud in minutes with built-in CI/CD, evaluation, and observability | A dev-first open source autonomous AI agent framework | | Stars | 6,537 | 17,652 | | Forks | 1,502 | 2,224 | | Open issues | 49 | 268 | | Language | Python | Python | | Adopt for | agent-starter-pack offers built-in CI/CD, evaluation tools, and observability for deploying generative AI agents on Google Cloud with Python. | SuperAGI offers a robust framework for developers aiming to build autonomous AI agents in a streamlined manner. Here are key decision points based on the provided repository data. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents, Evaluation & Observability | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agent-starter-pack](/tools/googlecloudplatform-agent-starter-pack.md) | [SuperAGI](/tools/transformeroptimus-superagi.md) | | --- | --- | --- | | Maintenance | Active (82%) | Dormant (18%) | | Days since push | 29d | 568d | | Open issues (now) | 49 | 268 | | Stars delta | +18 (30d) | +33 (30d) | | Open issues delta | +1 (30d) | -1 (30d) | | Full report | [trust report](/tools/googlecloudplatform-agent-starter-pack/trust.md) | [trust report](/tools/transformeroptimus-superagi/trust.md) | ## 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. ## Decision facts: SuperAGI - **Pricing:** freemium - SuperAGI is open-source under MIT license, making it free to use for both personal and commercial projects. However, depending on your setup, you might need to pay for API keys or cloud services from - **Requirements:** Min 4 GB RAM; Requires Docker; Local deployment requires Docker installation; Cloud deployment and access through SuperAGI Cloud require a GitHub login. - **Adopt for:** SuperAGI offers a robust framework for developers aiming to build autonomous AI agents in a streamlined manner. Here are key decision points based on the provided repository data. ## Choose when ### Choose agent-starter-pack if… - License: agent-starter-pack is Apache-2.0, SuperAGI is MIT. - 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: gcp, gemini, genai-agents, generative-ai. - 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. ### Choose SuperAGI if… - License: SuperAGI is MIT, agent-starter-pack is Apache-2.0. - Pricing: SuperAGI is open-source under MIT license, making it free to use for both personal and commercial projects. However, depending on your setup, you might need to pay for API keys or cloud services from . - Requirements: Min 4 GB RAM; Requires Docker; Local deployment requires Docker installation; Cloud deployment and access through SuperAGI Cloud require a GitHub login.. - Tags unique to SuperAGI: agi, ai, artificial-general-intelligence, autonomous-agents. - SuperAGI ships Docker support for self-hosted deployment. - When you need an open-source, flexible environment that supports the development of autonomous agents with a focus on developer-first practices and ease of implementation. ## 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. ## When NOT to use SuperAGI - If your project requires a tightly integrated solution without dependencies on third-party APIs or cloud-based services, as SuperAGI requires API keys from providers for full functionality. - In scenarios where the technical setup through Docker or cloud deployment may introduce unnecessary complexity or overhead that outweighs the benefits of utilizing an autonomous agent framework. ## Common questions ### What is the difference between agent-starter-pack and SuperAGI? agent-starter-pack: Ship AI Agents to Google Cloud in minutes with built-in CI/CD, evaluation, and observability. SuperAGI: A dev-first open source autonomous AI agent framework. See the comparison table for live GitHub stats and shared categories. ### When should I choose agent-starter-pack over SuperAGI? Choose agent-starter-pack over SuperAGI when License: agent-starter-pack is Apache-2.0, SuperAGI is MIT; 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: gcp, gemini, genai-agents, generative-ai; 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 choose SuperAGI over agent-starter-pack? Choose SuperAGI over agent-starter-pack when License: SuperAGI is MIT, agent-starter-pack is Apache-2.0; Pricing: SuperAGI is open-source under MIT license, making it free to use for both personal and commercial projects. However, depending on your setup, you might need to pay for API keys or cloud services from ; Requirements: Min 4 GB RAM; Requires Docker; Local deployment requires Docker installation; Cloud deployment and access through SuperAGI Cloud require a GitHub login.; Tags unique to SuperAGI: agi, ai, artificial-general-intelligence, autonomous-agents; SuperAGI ships Docker support for self-hosted deployment; When you need an open-source, flexible environment that supports the development of autonomous agents with a focus on developer-first practices and ease of implementation. ### 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. ### When should I avoid SuperAGI? If your project requires a tightly integrated solution without dependencies on third-party APIs or cloud-based services, as SuperAGI requires API keys from providers for full functionality. In scenarios where the technical setup through Docker or cloud deployment may introduce unnecessary complexity or overhead that outweighs the benefits of utilizing an autonomous agent framework. ### Is agent-starter-pack or SuperAGI more popular on GitHub? SuperAGI has more GitHub stars (17,652 vs 6,537). Stars measure visibility, not whether either tool fits your constraints. ### Are agent-starter-pack and SuperAGI open source? Yes - both are open-source projects on GitHub (agent-starter-pack: Apache-2.0, SuperAGI: MIT). ### Where can I find alternatives to agent-starter-pack or SuperAGI? GraphCanon lists graph-backed alternatives at [agent-starter-pack alternatives](/tools/googlecloudplatform-agent-starter-pack/alternatives) and [SuperAGI alternatives](/tools/transformeroptimus-superagi/alternatives) ([agent-starter-pack markdown twin](/tools/googlecloudplatform-agent-starter-pack/alternatives.md), [SuperAGI markdown twin](/tools/transformeroptimus-superagi/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/googlecloudplatform-agent-starter-pack-vs-transformeroptimus-superagi.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agent-starter-pack or SuperAGI? agent-starter-pack: Active. SuperAGI: Dormant. 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-starter-pack and SuperAGI? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agent-starter-pack trust report](/tools/googlecloudplatform-agent-starter-pack/trust); [SuperAGI trust report](/tools/transformeroptimus-superagi/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=googlecloudplatform-agent-starter-pack`](/api/graphcanon/graph?tool=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/_