Comparison
agent-starter-pack vs SuperAGI
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.
Markdown twin · agent-starter-pack alternatives · SuperAGI alternatives
GraphCanon updated today
Trust & integrity
| Signal | agent-starter-pack | SuperAGI |
|---|---|---|
| Maintenance | Active (29d since push) As of today · github_public_v1 | Dormant (568d since push) As of 6d · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of 6d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- 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
Stars
- agent-starter-pack
- 6.5k
- SuperAGI
- 18k
Forks
- agent-starter-pack
- 1.5k
- SuperAGI
- 2.2k
Open issues
- agent-starter-pack
- 49
- SuperAGI
- 268
Language
- agent-starter-pack
- Python
- SuperAGI
- Python
Adopt for
- agent-starter-pack
- agent-starter-pack offers built-in CI/CD, evaluation tools, and observability for deploying generative AI agents on Google Cloud with Python.
- SuperAGI
- 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
- agent-starter-pack
- -
- SuperAGI
- -
Runtime
- agent-starter-pack
- -
- SuperAGI
- -
License
- agent-starter-pack
- Apache-2.0
- SuperAGI
- MIT
Last pushed
- agent-starter-pack
- Jul 21, 2026
- SuperAGI
- Jan 22, 2025
Categories
- agent-starter-pack
- AI Agents, Evaluation & Observability
- SuperAGI
- AI Agents
Trust and health
Maintenance
- agent-starter-pack
- Active (82%)
- SuperAGI
- Dormant (18%)
Days since push
- agent-starter-pack
- 29d
- SuperAGI
- 568d
Open issues (now)
- agent-starter-pack
- 49
- SuperAGI
- 268
Stars delta
- agent-starter-pack
- +18 (30d)
- SuperAGI
- +33 (30d)
Open issues delta
- agent-starter-pack
- +1 (30d)
- SuperAGI
- -1 (30d)
OSV dependency advisories
- agent-starter-pack
- No lockfile (source not queried)
- SuperAGI
- Published findings
Full report
- agent-starter-pack
- Trust report
- SuperAGI
- Trust report
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.
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.
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (GoogleCloudPlatform/agent-starter-pack) · observed Aug 20, 2026
- GitHub forks (GoogleCloudPlatform/agent-starter-pack) · observed Aug 20, 2026
- Last push (GoogleCloudPlatform/agent-starter-pack) · observed Jul 21, 2026
- License file (Apache-2.0) · observed Aug 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (TransformerOptimus/SuperAGI) · observed Aug 14, 2026
- GitHub forks (TransformerOptimus/SuperAGI) · observed Aug 14, 2026
- Last push (TransformerOptimus/SuperAGI) · observed Jan 22, 2025
- License file (MIT) · observed Aug 14, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agent-starter-pack 6.5k · SuperAGI 18k (synced Aug 20, 2026).
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 and SuperAGI alternatives (agent-starter-pack markdown twin, SuperAGI markdown twin), 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 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; SuperAGI trust report.