Home/Compare/agentfield vs agent-starter-pack

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

agentfield logo

agentfield

Agent-Field/agentfield

2.5kpushed Aug 1, 2026
vs
agent-starter-pack logo

agent-starter-pack

GoogleCloudPlatform/agent-starter-pack

6.5kpushed Jul 21, 2026

Trust & integrity

Signalagentfieldagent-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 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.

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