--- title: "ai-getting-started vs agentsys" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/a16z-infra-ai-getting-started-vs-agent-sh-agentsys" tools: ["a16z-infra-ai-getting-started", "agent-sh-agentsys"] --- # ai-getting-started vs agentsys *GraphCanon updated Sep 30, 2026* ## Verdict Pick ai-getting-started if ai-getting-started is a TypeScript-based JavaScript AI tool tailored for weekend projects, offering everything from model implementation to deployment configurations; pick agentsys if agentsys is an AI-driven system that automates code writing and tasks through plugins and agents, supporting multiple AI tools like Claude Code, OpenCode, Codex, Cursor, and Kiro. [ai-getting-started](https://ai-getting-started.com/) reports 4.1k GitHub stars, 659 forks, and 16 open issues, last pushed Aug 21, 2024. [agentsys](https://agent-sh.github.io/agentsys/) has 985 stars, 115 forks, and 0 open issues, last pushed Sep 13, 2026. Figures are from public GitHub metadata via [ai-getting-started's repository](https://github.com/a16z-infra/ai-getting-started) and [agentsys's repository](https://github.com/agent-sh/agentsys). | | [ai-getting-started](/tools/a16z-infra-ai-getting-started.md) | [agentsys](/tools/agent-sh-agentsys.md) | | --- | --- | --- | | Tagline | A Javascript AI getting started stack for weekend projects | AI writes code, automates tasks with plugins and agents | | Stars | 4,142 | 985 | | Forks | 659 | 115 | | Open issues | 16 | 0 | | Language | TypeScript | JavaScript | | Adopt for | ai-getting-started is a TypeScript-based JavaScript AI tool tailored for weekend projects, offering everything from model implementation to deployment configurations. | agentsys is an AI-driven system that automates code writing and tasks through plugins and agents, supporting multiple AI tools like Claude Code, OpenCode, Codex, Cursor, and Kiro. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Developer Tools, Model Training, Vector Databases | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ai-getting-started](/tools/a16z-infra-ai-getting-started.md) | [agentsys](/tools/agent-sh-agentsys.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 759d | 6d | | Open issues (now) | 16 | 0 | | Stars delta | +1 (30d) | +23 (30d) | | Full report | [trust report](/tools/a16z-infra-ai-getting-started/trust.md) | [trust report](/tools/agent-sh-agentsys/trust.md) | ## Shared compatibility - **Node.js**: [ai-getting-started](/tools/a16z-infra-ai-getting-started.md) - Node.js runtime; [agentsys](/tools/agent-sh-agentsys.md) - Node.js runtime ## Decision facts: ai-getting-started - **Adopt for:** ai-getting-started is a TypeScript-based JavaScript AI tool tailored for weekend projects, offering everything from model implementation to deployment configurations. ## Decision facts: agentsys - **Requirements:** Requires Git and Node.js 18+.; For GitHub workflows, the GitHub CLI (`gh`) must be authenticated.; For GitLab workflows, the GitLab CLI (`glab`) must be authenticated.; For /repo-intel, agent-analyzer is installed automatically via npm. - **Adopt for:** agentsys is an AI-driven system that automates code writing and tasks through plugins and agents, supporting multiple AI tools like Claude Code, OpenCode, Codex, Cursor, and Kiro. ## Choose when ### Choose ai-getting-started if… - ai-getting-started is primarily TypeScript; agentsys is JavaScript. - Tags unique to ai-getting-started: deployment, image models, javascript, text models. - Also covers Model Training, Vector Databases. - ai-getting-started ships Docker support for self-hosted deployment. - * Use this tool if you are already familiar with or prefer working in TypeScript and want an easy entry point into AI project development. ### Choose agentsys if… - agentsys is primarily JavaScript; ai-getting-started is TypeScript. - Requirements: Requires Git and Node.js 18+.; For GitHub workflows, the GitHub CLI (`gh`) must be authenticated.; For GitLab workflows, the GitLab CLI (`glab`) must be authenticated.; For /repo-intel, agent-analyzer is installed automatically via npm.. - Tags unique to agentsys: agent, ai, automation, code-review. - Also covers AI Agents. - When you need to automate code writing and tasks with a wide range of AI tools, including Claude Code, OpenCode, Codex, Cursor, and Kiro. ## When NOT to use ai-getting-started - * If your focus is on developing large-scale, production-level applications, this tool may not offer the necessary scalability features. - * Not suitable if you require highly customized vector stores or specific AI model training environments beyond what the package provides as it focuses more on a general setup. ## When NOT to use agentsys - If your project strictly requires a specific AI tool that is not supported by agentsys, such as a proprietary or niche AI tool. - When you need a system that does not rely on JavaScript or Node.js 18+, as agentsys requires these technologies. - If you are working in an environment where the installation of additional tools like the GitHub CLI, GitLab CLI, or agnix CLI is not feasible or allowed. ## Common questions ### What is the difference between ai-getting-started and agentsys? ai-getting-started: A Javascript AI getting started stack for weekend projects. agentsys: AI writes code, automates tasks with plugins and agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose ai-getting-started over agentsys? Choose ai-getting-started over agentsys when ai-getting-started is primarily TypeScript; agentsys is JavaScript; Tags unique to ai-getting-started: deployment, image models, javascript, text models; Also covers Model Training, Vector Databases; ai-getting-started ships Docker support for self-hosted deployment; * Use this tool if you are already familiar with or prefer working in TypeScript and want an easy entry point into AI project development. ### When should I choose agentsys over ai-getting-started? Choose agentsys over ai-getting-started when agentsys is primarily JavaScript; ai-getting-started is TypeScript; Requirements: Requires Git and Node.js 18+.; For GitHub workflows, the GitHub CLI (`gh`) must be authenticated.; For GitLab workflows, the GitLab CLI (`glab`) must be authenticated.; For /repo-intel, agent-analyzer is installed automatically via npm.; Tags unique to agentsys: agent, ai, automation, code-review; Also covers AI Agents; When you need to automate code writing and tasks with a wide range of AI tools, including Claude Code, OpenCode, Codex, Cursor, and Kiro. ### When should I avoid ai-getting-started? * If your focus is on developing large-scale, production-level applications, this tool may not offer the necessary scalability features. * Not suitable if you require highly customized vector stores or specific AI model training environments beyond what the package provides as it focuses more on a general setup. ### When should I avoid agentsys? If your project strictly requires a specific AI tool that is not supported by agentsys, such as a proprietary or niche AI tool. When you need a system that does not rely on JavaScript or Node.js 18+, as agentsys requires these technologies. If you are working in an environment where the installation of additional tools like the GitHub CLI, GitLab CLI, or agnix CLI is not feasible or allowed. ### Is ai-getting-started or agentsys more popular on GitHub? ai-getting-started has more GitHub stars (4,142 vs 985). Stars measure visibility, not whether either tool fits your constraints. ### Are ai-getting-started and agentsys open source? Yes - both are open-source projects on GitHub (ai-getting-started: MIT, agentsys: MIT). ### Where can I find alternatives to ai-getting-started or agentsys? GraphCanon lists graph-backed alternatives at [ai-getting-started alternatives](/tools/a16z-infra-ai-getting-started/alternatives) and [agentsys alternatives](/tools/agent-sh-agentsys/alternatives) ([ai-getting-started markdown twin](/tools/a16z-infra-ai-getting-started/alternatives.md), [agentsys markdown twin](/tools/agent-sh-agentsys/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/a16z-infra-ai-getting-started-vs-agent-sh-agentsys.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ai-getting-started or agentsys? ai-getting-started: Dormant. agentsys: 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 ai-getting-started and agentsys? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ai-getting-started trust report](/tools/a16z-infra-ai-getting-started/trust); [agentsys trust report](/tools/agent-sh-agentsys/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=a16z-infra-ai-getting-started`](/api/graphcanon/graph?tool=a16z-infra-ai-getting-started) - 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/_