--- title: "agent-starter-pack vs plano" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/googlecloudplatform-agent-starter-pack-vs-katanemo-plano" tools: ["googlecloudplatform-agent-starter-pack", "katanemo-plano"] --- # agent-starter-pack vs plano *GraphCanon updated Aug 20, 2026* ## 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 plano if plano is an AI-native proxy and data plane for agentic applications built with Rust under the Apache-2.0 license, focusing on smart LLM routing capabilities alongside orchestration and observability features. [agent-starter-pack](http://goo.gle/agents-cli) reports 6.5k GitHub stars, 1.5k forks, and 49 open issues, last pushed Jul 21, 2026. [plano](https://planoai.dev) has 7.0k stars, 482 forks, and 138 open issues, last pushed Aug 19, 2026. Figures are from public GitHub metadata via [agent-starter-pack's repository](https://github.com/GoogleCloudPlatform/agent-starter-pack) and [plano's repository](https://github.com/katanemo/plano). | | [agent-starter-pack](/tools/googlecloudplatform-agent-starter-pack.md) | [plano](/tools/katanemo-plano.md) | | --- | --- | --- | | Tagline | Ship AI Agents to Google Cloud in minutes with built-in CI/CD, evaluation, and observability | An AI-native proxy and data plane for agentic apps | | Stars | 6,537 | 7,004 | | Forks | 1,502 | 482 | | Open issues | 49 | 138 | | Language | Python | Rust | | Adopt for | agent-starter-pack offers built-in CI/CD, evaluation tools, and observability for deploying generative AI agents on Google Cloud with Python. | Plano is an AI-native proxy and data plane for agentic applications built with Rust under the Apache-2.0 license, focusing on smart LLM routing capabilities alongside orchestration and observability features. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agent-starter-pack](/tools/googlecloudplatform-agent-starter-pack.md) | [plano](/tools/katanemo-plano.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 29d | 0d | | Open issues (now) | 49 | 138 | | Stars delta | +18 (30d) | +127 (30d) | | Open issues delta | +1 (30d) | +7 (30d) | | Full report | [trust report](/tools/googlecloudplatform-agent-starter-pack/trust.md) | [trust report](/tools/katanemo-plano/trust.md) | ## Decision facts: agent-starter-pack - **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. - **Adopt for:** agent-starter-pack offers built-in CI/CD, evaluation tools, and observability for deploying generative AI agents on Google Cloud with Python. ## Decision facts: plano - **Pricing:** freemium - Freely available under Apache-2.0 license but potential for premium services around support and advanced features. - **Requirements:** Min 1 GB RAM - **Adopt for:** Plano is an AI-native proxy and data plane for agentic applications built with Rust under the Apache-2.0 license, focusing on smart LLM routing capabilities alongside orchestration and observability features. ## Choose when ### Choose agent-starter-pack if… - agent-starter-pack is primarily Python; plano is Rust. - 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. ### Choose plano if… - plano is primarily Rust; agent-starter-pack is Python. - Pricing: Freely available under Apache-2.0 license but potential for premium services around support and advanced features.. - Requirements: Min 1 GB RAM. - Tags unique to plano: agency-apps, ai-gateway, llm-proxy, llm-routing. - Also covers Inference & Serving. - plano ships Docker support for self-hosted deployment. - You are working on building complex multi-agent workflows where intelligent LLM (Language Model) routing is required. ## 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. ## When NOT to use plano - If your application does not require deep orchestration or smart routing between multiple models, choosing Plano might introduce unnecessary complexity. - For scenarios where minimal intervention routing is preferred without advanced observability and guardrail features, this tool may over-deliver on certain functionalities, possibly increasing overhead ## Common questions ### What is the difference between agent-starter-pack and plano? agent-starter-pack: Ship AI Agents to Google Cloud in minutes with built-in CI/CD, evaluation, and observability. plano: An AI-native proxy and data plane for agentic apps. See the comparison table for live GitHub stats and shared categories. ### When should I choose agent-starter-pack over plano? Choose agent-starter-pack over plano when agent-starter-pack is primarily Python; plano is Rust; 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 plano over agent-starter-pack? Choose plano over agent-starter-pack when plano is primarily Rust; agent-starter-pack is Python; Pricing: Freely available under Apache-2.0 license but potential for premium services around support and advanced features.; Requirements: Min 1 GB RAM; Tags unique to plano: agency-apps, ai-gateway, llm-proxy, llm-routing; Also covers Inference & Serving; plano ships Docker support for self-hosted deployment; You are working on building complex multi-agent workflows where intelligent LLM (Language Model) routing is required. ### 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 plano? If your application does not require deep orchestration or smart routing between multiple models, choosing Plano might introduce unnecessary complexity. For scenarios where minimal intervention routing is preferred without advanced observability and guardrail features, this tool may over-deliver on certain functionalities, possibly increasing overhead ### Is agent-starter-pack or plano more popular on GitHub? plano has more GitHub stars (7,004 vs 6,537). Stars measure visibility, not whether either tool fits your constraints. ### Are agent-starter-pack and plano open source? Yes - both are open-source projects on GitHub (agent-starter-pack: Apache-2.0, plano: Apache-2.0). ### Where can I find alternatives to agent-starter-pack or plano? GraphCanon lists graph-backed alternatives at [agent-starter-pack alternatives](/tools/googlecloudplatform-agent-starter-pack/alternatives) and [plano alternatives](/tools/katanemo-plano/alternatives) ([agent-starter-pack markdown twin](/tools/googlecloudplatform-agent-starter-pack/alternatives.md), [plano markdown twin](/tools/katanemo-plano/alternatives.md)), 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](/compare/googlecloudplatform-agent-starter-pack-vs-katanemo-plano.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agent-starter-pack or plano? agent-starter-pack: Active. plano: 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 plano? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agent-starter-pack trust report](/tools/googlecloudplatform-agent-starter-pack/trust); [plano trust report](/tools/katanemo-plano/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=googlecloudplatform-agent-starter-pack`](/api/graphcanon/graph?tool=googlecloudplatform-agent-starter-pack) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_