---
title: "OpenAGI vs agent-starter-pack"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/agiresearch-openagi-vs-googlecloudplatform-agent-starter-pack"
tools: ["agiresearch-openagi", "googlecloudplatform-agent-starter-pack"]
---

# OpenAGI vs agent-starter-pack

*GraphCanon updated Aug 20, 2026*

## Verdict

Pick OpenAGI if openAGI is an agent creation package allowing for the development of AI agents that can integrate with the AIOS system. It's recommended to migrate towards Cerebrum, which offers a newer SDK; 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.

[OpenAGI](https://docs.aios.foundation) reports 2.3k GitHub stars, 211 forks, and 10 open issues, last pushed Nov 28, 2024. [agent-starter-pack](http://goo.gle/agents-cli) has 6.5k stars, 1.5k forks, and 49 open issues, last pushed Jul 21, 2026. Figures are from public GitHub metadata via [OpenAGI's repository](https://github.com/agiresearch/OpenAGI) and [agent-starter-pack's repository](https://github.com/GoogleCloudPlatform/agent-starter-pack).

| | [OpenAGI](/tools/agiresearch-openagi.md) | [agent-starter-pack](/tools/googlecloudplatform-agent-starter-pack.md) |
| --- | --- | --- |
| Tagline | Agent creation package for building agents in AIOS | Ship AI Agents to Google Cloud in minutes with built-in CI/CD, evaluation, and observability |
| Stars | 2,280 | 6,537 |
| Forks | 211 | 1,502 |
| Open issues | 10 | 49 |
| Language | Python | Python |
| Adopt for | OpenAGI is an agent creation package allowing for the development of AI agents that can integrate with the AIOS system. It's recommended to migrate towards Cerebrum, which offers a newer SDK. | 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 | MIT license allows freedom to use for any purpose with attribution. | Apache-2.0 |
| Categories | AI Agents | AI Agents, Evaluation & Observability |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [OpenAGI](/tools/agiresearch-openagi.md) | [agent-starter-pack](/tools/googlecloudplatform-agent-starter-pack.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Active (82%) |
| Days since push | 617d | 29d |
| Open issues (now) | 10 | 49 |
| Stars delta | Unknown | +18 (30d) |
| Open issues delta | Unknown | +1 (30d) |
| Full report | [trust report](/tools/agiresearch-openagi/trust.md) | [trust report](/tools/googlecloudplatform-agent-starter-pack/trust.md) |

## Shared compatibility

- **Python**: [OpenAGI](/tools/agiresearch-openagi.md) - Python runtime; [agent-starter-pack](/tools/googlecloudplatform-agent-starter-pack.md) - Python runtime

## Decision facts: OpenAGI

- **Hosting:** self hosted - OpenAGI is a self-hostable package that requires deployment and management on your own infrastructure.
- **Pricing:** freemium - Free to use under MIT license; free for non-commercial purposes, commercial projects might require additional agreements or payment plans not specified in the repository.
- **Adopt for:** OpenAGI is an agent creation package allowing for the development of AI agents that can integrate with the AIOS system. It's recommended to migrate towards Cerebrum, which offers a newer SDK.
- **License detail:** MIT license allows freedom to use for any purpose with attribution.

## 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 OpenAGI if…

- License: OpenAGI is MIT, agent-starter-pack is Apache-2.0.
- OpenAGI is a self-hostable package that requires deployment and management on your own infrastructure.
- Pricing: Free to use under MIT license; free for non-commercial purposes, commercial projects might require additional agreements or payment plans not specified in the repository..
- Tags unique to OpenAGI: agiresearch, aios.
- - **Current Projects**: If you have existing projects built on OpenAGI and they need continued maintenance or minor updates rather than a major overhaul

### Choose agent-starter-pack if…

- License: agent-starter-pack is Apache-2.0, OpenAGI 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 NOT to use OpenAGI

- - **New Projects**: OpenAGI recommends migration to Cerebrum, marking it unsuitable for new projects looking towards future-proof solutions
- - **Advanced Development Needs**: When requiring enhanced capabilities or features that are only included in the newer framework (Cerebrum), sticking with OpenAGI may limit advancement

## 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 OpenAGI and agent-starter-pack?

OpenAGI: Agent creation package for building agents in AIOS. 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 OpenAGI over agent-starter-pack?

Choose OpenAGI over agent-starter-pack when License: OpenAGI is MIT, agent-starter-pack is Apache-2.0; OpenAGI is a self-hostable package that requires deployment and management on your own infrastructure; Pricing: Free to use under MIT license; free for non-commercial purposes, commercial projects might require additional agreements or payment plans not specified in the repository.; Tags unique to OpenAGI: agiresearch, aios; - **Current Projects**: If you have existing projects built on OpenAGI and they need continued maintenance or minor updates rather than a major overhaul.

### When should I choose agent-starter-pack over OpenAGI?

Choose agent-starter-pack over OpenAGI when License: agent-starter-pack is Apache-2.0, OpenAGI 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 avoid OpenAGI?

- **New Projects**: OpenAGI recommends migration to Cerebrum, marking it unsuitable for new projects looking towards future-proof solutions - **Advanced Development Needs**: When requiring enhanced capabilities or features that are only included in the newer framework (Cerebrum), sticking with OpenAGI may limit advancement

### 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 OpenAGI or agent-starter-pack more popular on GitHub?

agent-starter-pack has more GitHub stars (6,537 vs 2,280). Stars measure visibility, not whether either tool fits your constraints.

### Are OpenAGI and agent-starter-pack open source?

Yes - both are open-source projects on GitHub (OpenAGI: MIT, agent-starter-pack: Apache-2.0).

### Where can I find alternatives to OpenAGI or agent-starter-pack?

GraphCanon lists graph-backed alternatives at [OpenAGI alternatives](/tools/agiresearch-openagi/alternatives) and [agent-starter-pack alternatives](/tools/googlecloudplatform-agent-starter-pack/alternatives) ([OpenAGI markdown twin](/tools/agiresearch-openagi/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/agiresearch-openagi-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, OpenAGI or agent-starter-pack?

OpenAGI: Dormant. agent-starter-pack: Active. 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 OpenAGI and agent-starter-pack?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [OpenAGI trust report](/tools/agiresearch-openagi/trust); [agent-starter-pack trust report](/tools/googlecloudplatform-agent-starter-pack/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=agiresearch-openagi`](/api/graphcanon/graph?tool=agiresearch-openagi)
- 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/_
