Comparison
agentfield vs agent-starter-pack
Verdict
Pick agentfield if agent-Field/agentfield is a comprehensive toolset built in Go under the Apache-2.0 license, aiming to streamline the development lifecycle of scalable AI agents that are observably secure; 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.
Markdown twin · agentfield alternatives · agent-starter-pack alternatives
GraphCanon updated 5d
Trust & integrity
| Signal | agentfield | agent-starter-pack |
|---|---|---|
| Maintenance | Very active (0d since push) As of 3w · github_public_v1 | Active (29d since push) As of 5d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 5d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) 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
- agentfield
- Build, run and scale AI agents like API and microservices
- agent-starter-pack
- Ship AI Agents to Google Cloud in minutes with built-in CI/CD, evaluation, and observability
Stars
- agentfield
- 2.5k
- agent-starter-pack
- 6.5k
Forks
- agentfield
- 392
- agent-starter-pack
- 1.5k
Open issues
- agentfield
- 74
- agent-starter-pack
- 49
Language
- agentfield
- Go
- agent-starter-pack
- Python
Adopt for
- agentfield
- Agent-Field/agentfield is a comprehensive toolset built in Go under the Apache-2.0 license, aiming to streamline the development lifecycle of scalable AI agents that are observably secure.
- 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.
Persona
- agentfield
- -
- agent-starter-pack
- -
Runtime
- agentfield
- -
- agent-starter-pack
- -
License
- agentfield
- Apache-2.0
- agent-starter-pack
- Apache-2.0
Last pushed
- agentfield
- Aug 1, 2026
- agent-starter-pack
- Jul 21, 2026
Categories
- agentfield
- AI Agents
- agent-starter-pack
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- agentfield
- Very active (96%)
- agent-starter-pack
- Active (82%)
Days since push
- agentfield
- 0d
- agent-starter-pack
- 29d
Open issues (now)
- agentfield
- 74
- agent-starter-pack
- 49
Stars delta
- agentfield
- Unknown
- agent-starter-pack
- +18 (30d)
Open issues delta
- agentfield
- Unknown
- agent-starter-pack
- +1 (30d)
Full report
- agentfield
- Trust report
- agent-starter-pack
- Trust report
Choose agentfield if…
- agentfield is primarily Go; agent-starter-pack is Python.
- Tags unique to agentfield: agent-auth, agent-authentication, agent-scaling, agentic-ai.
- When you seek to manage and scale your AI agents with robust identity awareness and auditability features from inception.
When NOT to use agentfield
- If your project requires heavy customization in languages other than Go as Agentfield is primarily built using Go which may limit its adaptability in polyglot environments.
Choose agent-starter-pack if…
- agent-starter-pack is primarily Python; agentfield is Go.
- 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-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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Agent-Field/agentfield) · observed Aug 2, 2026
- GitHub forks (Agent-Field/agentfield) · observed Aug 2, 2026
- Last push (Agent-Field/agentfield) · observed Aug 1, 2026
- License file (Apache-2.0) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: agentfield 2.5k · agent-starter-pack 6.5k (synced Aug 2, 2026).
Common questions
- What is the difference between agentfield and agent-starter-pack?
- agentfield: Build, run and scale AI agents like API and microservices. 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 agentfield over agent-starter-pack?
- Choose agentfield over agent-starter-pack when agentfield is primarily Go; agent-starter-pack is Python; Tags unique to agentfield: agent-auth, agent-authentication, agent-scaling, agentic-ai; When you seek to manage and scale your AI agents with robust identity awareness and auditability features from inception.
- When should I choose agent-starter-pack over agentfield?
- Choose agent-starter-pack over agentfield when agent-starter-pack is primarily Python; agentfield is Go; 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 agentfield?
- If your project requires heavy customization in languages other than Go as Agentfield is primarily built using Go which may limit its adaptability in polyglot environments.
- 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 agentfield or agent-starter-pack more popular on GitHub?
- agent-starter-pack has more GitHub stars (6,537 vs 2,472). Stars measure visibility, not whether either tool fits your constraints.
- Are agentfield and agent-starter-pack open source?
- Yes - both are open-source projects on GitHub (agentfield: Apache-2.0, agent-starter-pack: Apache-2.0).
- Where can I find alternatives to agentfield or agent-starter-pack?
- GraphCanon lists graph-backed alternatives at agentfield alternatives and agent-starter-pack alternatives (agentfield markdown twin, agent-starter-pack 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, agentfield or agent-starter-pack?
- agentfield: Very active. 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 agentfield and agent-starter-pack?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentfield trust report; agent-starter-pack trust report.