Comparison
agent-starter-pack vs kitaru
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 kitaru if kitaru focuses on recording, replaying, and enhancing the performance of AI agents in production environments using technology from ZenML.
Markdown twin · agent-starter-pack alternatives · kitaru alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | agent-starter-pack | kitaru |
|---|---|---|
| Maintenance | Active (29d since push) As of 1d · github_public_v1 | Very active (0d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Organization account As of 2w · 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
- agent-starter-pack
- Ship AI Agents to Google Cloud in minutes with built-in CI/CD, evaluation, and observability
- kitaru
- Record, replay, and improve AI agents in production, built on ZenML
Stars
- agent-starter-pack
- 6.5k
- kitaru
- 226
Forks
- agent-starter-pack
- 1.5k
- kitaru
- 15
Open issues
- agent-starter-pack
- 49
- kitaru
- 49
Language
- agent-starter-pack
- Python
- kitaru
- 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.
- kitaru
- Kitaru focuses on recording, replaying, and enhancing the performance of AI agents in production environments using technology from ZenML.
Persona
- agent-starter-pack
- -
- kitaru
- -
Runtime
- agent-starter-pack
- -
- kitaru
- -
License
- agent-starter-pack
- Apache-2.0
- kitaru
- Apache-2.0
Last pushed
- agent-starter-pack
- Jul 21, 2026
- kitaru
- Aug 3, 2026
Categories
- agent-starter-pack
- AI Agents, Evaluation & Observability
- kitaru
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- agent-starter-pack
- Active (82%)
- kitaru
- Very active (96%)
Days since push
- agent-starter-pack
- 29d
- kitaru
- 0d
Stars delta
- agent-starter-pack
- +18 (30d)
- kitaru
- Unknown
Open issues delta
- agent-starter-pack
- +1 (30d)
- kitaru
- Unknown
Full report
- agent-starter-pack
- Trust report
- kitaru
- Trust report
Shared compatibility
- Python · agent-starter-pack: Python runtime · kitaru: Python runtime
Choose agent-starter-pack if…
- 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.
- 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 kitaru if…
- Tags unique to kitaru: agent-framework, ai-agents, checkpoints, durable-execution.
- - You need to ensure the continuous improvement of AI agents that are already deployed; Kitaru allows you to replay scenarios with different approaches to identify improvements.
- More recently updated (last pushed Aug 3, 2026).
When NOT to use kitaru
- - If your project is in the early stages of development without a clear need for replaying historical data or improving upon past behaviors;
- - When working outside Python, as Kitaru does not currently offer support for other programming languages.
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 (zenml-io/kitaru) · observed Aug 3, 2026
- GitHub forks (zenml-io/kitaru) · observed Aug 3, 2026
- Last push (zenml-io/kitaru) · observed Aug 3, 2026
- License file (Apache-2.0) · observed Aug 3, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agent-starter-pack 6.5k · kitaru 226 (synced Aug 20, 2026).
Common questions
- What is the difference between agent-starter-pack and kitaru?
- agent-starter-pack: Ship AI Agents to Google Cloud in minutes with built-in CI/CD, evaluation, and observability. kitaru: Record, replay, and improve AI agents in production, built on ZenML. See the comparison table for live GitHub stats and shared categories.
- When should I choose agent-starter-pack over kitaru?
- Choose agent-starter-pack over kitaru when 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; 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 kitaru over agent-starter-pack?
- Choose kitaru over agent-starter-pack when Tags unique to kitaru: agent-framework, ai-agents, checkpoints, durable-execution; - You need to ensure the continuous improvement of AI agents that are already deployed; Kitaru allows you to replay scenarios with different approaches to identify improvements; More recently updated (last pushed Aug 3, 2026).
- 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 kitaru?
- - If your project is in the early stages of development without a clear need for replaying historical data or improving upon past behaviors; - When working outside Python, as Kitaru does not currently offer support for other programming languages.
- Is agent-starter-pack or kitaru more popular on GitHub?
- agent-starter-pack has more GitHub stars (6,537 vs 226). Stars measure visibility, not whether either tool fits your constraints.
- Are agent-starter-pack and kitaru open source?
- Yes - both are open-source projects on GitHub (agent-starter-pack: Apache-2.0, kitaru: Apache-2.0).
- Where can I find alternatives to agent-starter-pack or kitaru?
- GraphCanon lists graph-backed alternatives at agent-starter-pack alternatives and kitaru alternatives (agent-starter-pack markdown twin, kitaru 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 kitaru?
- agent-starter-pack: Active. kitaru: Very 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 agent-starter-pack and kitaru?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-starter-pack trust report; kitaru trust report.