Comparison
agent-control vs agent-starter-pack
Verdict
Pick agent-control if agent-control is a highly configurable and extensible centralized agent control system that governs runtime behavior of agents at scale via UI or SDK/API; 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 · agent-control alternatives · agent-starter-pack alternatives
GraphCanon updated Sep 20, 2026
15views this month
vs
Trust & integrity
| Signal | agent-control | agent-starter-pack |
|---|---|---|
| Maintenance | Very active (1d since push) As of Sep 11, 2026 · github_public_v1 | Steady (60d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 11, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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-control
- Centralized agent control plane for governing runtime agent behavior at scale
- agent-starter-pack
- Ship AI Agents to Google Cloud in minutes with built-in CI/CD, evaluation, and observability
Stars
- agent-control
- 305
- agent-starter-pack
- 6.6k
Forks
- agent-control
- 51
- agent-starter-pack
- 1.5k
Open issues
- agent-control
- 36
- agent-starter-pack
- 49
Language
- agent-control
- Python
- agent-starter-pack
- Python
Adopt for
- agent-control
- agent-control is a highly configurable and extensible centralized agent control system that governs runtime behavior of agents at scale via UI or SDK/API.
- 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
- agent-control
- -
- agent-starter-pack
- -
Runtime
- agent-control
- -
- agent-starter-pack
- -
License
- agent-control
- Apache-2.0
- agent-starter-pack
- Apache-2.0
Last pushed
- agent-control
- Sep 9, 2026
- agent-starter-pack
- Jul 21, 2026
Categories
- agent-control
- AI Agents
- agent-starter-pack
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- agent-control
- Very active (96%)
- agent-starter-pack
- Steady (60%)
Days since push
- agent-control
- 1d
- agent-starter-pack
- 60d
Open issues (now)
- agent-control
- 36
- agent-starter-pack
- 49
Stars delta
- agent-control
- +16 (30d)
- agent-starter-pack
- +21 (30d)
Full report
- agent-control
- Trust report
- agent-starter-pack
- Trust report
Shared compatibility
- Python · agent-control: Python runtime · agent-starter-pack: Python runtime
Choose agent-control if…
- Tags unique to agent-control: agentic-workflow, ai-safety, guardrails, llm.
- agent-control ships Docker support for self-hosted deployment.
- Use agent-control if you need to centrally manage the behavior of multiple AI agents in production environments.
When NOT to use agent-control
- Avoid using agent-control when your project does not require centralized control for large-scale AI agent management.
- Not recommended if your setup is simplistic or relies solely on languages other than Python or TypeScript, since the tool primarily supports these two.
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.
- 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 (agentcontrol/agent-control) · observed Sep 20, 2026
- GitHub forks (agentcontrol/agent-control) · observed Sep 20, 2026
- Last push (agentcontrol/agent-control) · observed Sep 9, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (GoogleCloudPlatform/agent-starter-pack) · observed Sep 20, 2026
- GitHub forks (GoogleCloudPlatform/agent-starter-pack) · observed Sep 20, 2026
- Last push (GoogleCloudPlatform/agent-starter-pack) · observed Jul 21, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agent-control 305 · agent-starter-pack 6.6k (synced Sep 20, 2026).
Common questions
- What is the difference between agent-control and agent-starter-pack?
- agent-control: Centralized agent control plane for governing runtime agent behavior at scale. 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 agent-control over agent-starter-pack?
- Choose agent-control over agent-starter-pack when Tags unique to agent-control: agentic-workflow, ai-safety, guardrails, llm; agent-control ships Docker support for self-hosted deployment; Use agent-control if you need to centrally manage the behavior of multiple AI agents in production environments.
- When should I choose agent-starter-pack over agent-control?
- Choose agent-starter-pack over agent-control 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; 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 agent-control?
- Avoid using agent-control when your project does not require centralized control for large-scale AI agent management. Not recommended if your setup is simplistic or relies solely on languages other than Python or TypeScript, since the tool primarily supports these two.
- 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 agent-control or agent-starter-pack more popular on GitHub?
- agent-starter-pack has more GitHub stars (6,558 vs 305). Stars measure visibility, not whether either tool fits your constraints.
- Are agent-control and agent-starter-pack open source?
- Yes - both are open-source projects on GitHub (agent-control: Apache-2.0, agent-starter-pack: Apache-2.0).
- Where can I find alternatives to agent-control or agent-starter-pack?
- GraphCanon lists graph-backed alternatives at agent-control alternatives and agent-starter-pack alternatives (agent-control 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, agent-control or agent-starter-pack?
- agent-control: Very active. agent-starter-pack: Steady. 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-control and agent-starter-pack?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-control trust report; agent-starter-pack trust report.