--- title: "agentos vs agent-starter-pack" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/framerslab-agentos-vs-googlecloudplatform-agent-starter-pack" tools: ["framerslab-agentos", "googlecloudplatform-agent-starter-pack"] --- # agentos vs agent-starter-pack *GraphCanon updated Aug 23, 2026* ## Verdict Pick agentos if agentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript; 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. [agentos](https://docs.agentos.sh) reports 617 GitHub stars, 92 forks, and 10 open issues, last pushed Aug 7, 2026. [agent-starter-pack](http://goo.gle/agents-cli) has 6.5k stars, 1.5k forks, and 49 open issues, last pushed Jul 21, 2026. Figures are from public GitHub metadata via [agentos's repository](https://github.com/framerslab/agentos) and [agent-starter-pack's repository](https://github.com/GoogleCloudPlatform/agent-starter-pack). | | [agentos](/tools/framerslab-agentos.md) | [agent-starter-pack](/tools/googlecloudplatform-agent-starter-pack.md) | | --- | --- | --- | | Tagline | TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration | Ship AI Agents to Google Cloud in minutes with built-in CI/CD, evaluation, and observability | | Stars | 617 | 6,537 | | Forks | 92 | 1,502 | | Open issues | 10 | 49 | | Language | TypeScript | Python | | Adopt for | AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. | agent-starter-pack offers built-in CI/CD, evaluation tools, and observability for deploying generative AI agents on Google Cloud with Python. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | AI Agents | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentos](/tools/framerslab-agentos.md) | [agent-starter-pack](/tools/googlecloudplatform-agent-starter-pack.md) | | --- | --- | --- | | Days since push | 15d | 29d | | Open issues (now) | 10 | 49 | | Stars delta | +16 (30d) | +18 (30d) | | Full report | [trust report](/tools/framerslab-agentos/trust.md) | [trust report](/tools/googlecloudplatform-agent-starter-pack/trust.md) | ## Decision facts: agentos - **Adopt for:** AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. ## 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. ## Choose when ### Choose agentos if… - agentos is primarily TypeScript; agent-starter-pack is Python. - Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent. - Need for cognitive memory and real-time tool generation in AI agents ### Choose agent-starter-pack if… - agent-starter-pack is primarily Python; agentos is TypeScript. - 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 agentos - Preferring frameworks without multi-agent orchestration support - Prioritizing environments with less than eleven LLM provider options ## 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. ## Common questions ### What is the difference between agentos and agent-starter-pack? agentos: TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration. 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 agentos over agent-starter-pack? Choose agentos over agent-starter-pack when agentos is primarily TypeScript; agent-starter-pack is Python; Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent; Need for cognitive memory and real-time tool generation in AI agents. ### When should I choose agent-starter-pack over agentos? Choose agent-starter-pack over agentos when agent-starter-pack is primarily Python; agentos is TypeScript; 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 agentos? Preferring frameworks without multi-agent orchestration support Prioritizing environments with less than eleven LLM provider options ### 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 agentos or agent-starter-pack more popular on GitHub? agent-starter-pack has more GitHub stars (6,537 vs 617). Stars measure visibility, not whether either tool fits your constraints. ### Are agentos and agent-starter-pack open source? Yes - both are open-source projects on GitHub (agentos: Apache-2.0, agent-starter-pack: Apache-2.0). ### Where can I find alternatives to agentos or agent-starter-pack? GraphCanon lists graph-backed alternatives at [agentos alternatives](/tools/framerslab-agentos/alternatives) and [agent-starter-pack alternatives](/tools/googlecloudplatform-agent-starter-pack/alternatives) ([agentos markdown twin](/tools/framerslab-agentos/alternatives.md), [agent-starter-pack markdown twin](/tools/googlecloudplatform-agent-starter-pack/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/framerslab-agentos-vs-googlecloudplatform-agent-starter-pack.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentos or agent-starter-pack? agentos: 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 agentos and agent-starter-pack? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentos trust report](/tools/framerslab-agentos/trust); [agent-starter-pack trust report](/tools/googlecloudplatform-agent-starter-pack/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=framerslab-agentos`](/api/graphcanon/graph?tool=framerslab-agentos) - 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/_