---
title: "ai-getting-started vs selfhost-ai"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/a16z-infra-ai-getting-started-vs-kossakovsky-selfhost-ai"
tools: ["a16z-infra-ai-getting-started", "kossakovsky-selfhost-ai"]
---

# ai-getting-started vs selfhost-ai

*GraphCanon updated Aug 21, 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 selfhost-ai if selfhost-ai offers a self-contained suite for deploying multiple AI tools with automated HTTPS setup and one-command deployment, acting as an open alternative to cloud-based services like Zapier.

[ai-getting-started](https://ai-getting-started.com/) reports 4.1k GitHub stars, 660 forks, and 16 open issues, last pushed Aug 21, 2024. [selfhost-ai](https://github.com/kossakovsky/selfhost-ai#readme) has 919 stars, 233 forks, and 4 open issues, last pushed Jul 24, 2026. Figures are from public GitHub metadata via [ai-getting-started's repository](https://github.com/a16z-infra/ai-getting-started) and [selfhost-ai's repository](https://github.com/kossakovsky/selfhost-ai).

| | [ai-getting-started](/tools/a16z-infra-ai-getting-started.md) | [selfhost-ai](/tools/kossakovsky-selfhost-ai.md) |
| --- | --- | --- |
| Tagline | A Javascript AI getting started stack for weekend projects | Self-hosted AI automation platform |
| Stars | 4,141 | 919 |
| Forks | 660 | 233 |
| Open issues | 16 | 4 |
| Language | TypeScript | Shell |
| Adopt for | ai-getting-started is a TypeScript-based JavaScript AI tool tailored for weekend projects, offering everything from model implementation to deployment configurations. | selfhost-ai offers a self-contained suite for deploying multiple AI tools with automated HTTPS setup and one-command deployment, acting as an open alternative to cloud-based services like Zapier. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | Apache-2.0 |
| Categories | Developer Tools, Model Training, Vector Databases | AI Agents, Developer Tools, Model Training, Vector Databases |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [ai-getting-started](/tools/a16z-infra-ai-getting-started.md) | [selfhost-ai](/tools/kossakovsky-selfhost-ai.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Active (82%) |
| Days since push | 723d | 27d |
| Open issues (now) | 16 | 4 |
| Stars delta | 0 (30d) | +17 (30d) |
| Open issues delta | 0 (30d) | +4 (30d) |
| Owner type | Organization | User |
| Full report | [trust report](/tools/a16z-infra-ai-getting-started/trust.md) | [trust report](/tools/kossakovsky-selfhost-ai/trust.md) |

## 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: selfhost-ai

- **Adopt for:** selfhost-ai offers a self-contained suite for deploying multiple AI tools with automated HTTPS setup and one-command deployment, acting as an open alternative to cloud-based services like Zapier.

## Choose when

### Choose ai-getting-started if…

- ai-getting-started is primarily TypeScript; selfhost-ai is Shell.
- License: ai-getting-started is MIT, selfhost-ai is Apache-2.0.
- Tags unique to ai-getting-started: deployment, image models, javascript, text models.
- * 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 selfhost-ai if…

- selfhost-ai is primarily Shell; ai-getting-started is TypeScript.
- License: selfhost-ai is Apache-2.0, ai-getting-started is MIT.
- Tags unique to selfhost-ai: ai-agents, automation, chatgpt-alternative, docker.
- Also covers AI Agents.
- Self-hosted deployments aiming for centralized AI automation that includes n8n, Ollama, Flowise, RAG, Supabase, and other tools with a single command.

## 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 selfhost-ai

- Organizations seeking fully managed AI automation solutions where setup and maintenance are handled by the service provider.
- Businesses preferring to avoid the overhead of managing self-hosted environments, including hardware requirements and system updates.

## Common questions

### What is the difference between ai-getting-started and selfhost-ai?

ai-getting-started: A Javascript AI getting started stack for weekend projects. selfhost-ai: Self-hosted AI automation platform. See the comparison table for live GitHub stats and shared categories.

### When should I choose ai-getting-started over selfhost-ai?

Choose ai-getting-started over selfhost-ai when ai-getting-started is primarily TypeScript; selfhost-ai is Shell; License: ai-getting-started is MIT, selfhost-ai is Apache-2.0; Tags unique to ai-getting-started: deployment, image models, javascript, text models; * 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 selfhost-ai over ai-getting-started?

Choose selfhost-ai over ai-getting-started when selfhost-ai is primarily Shell; ai-getting-started is TypeScript; License: selfhost-ai is Apache-2.0, ai-getting-started is MIT; Tags unique to selfhost-ai: ai-agents, automation, chatgpt-alternative, docker; Also covers AI Agents; Self-hosted deployments aiming for centralized AI automation that includes n8n, Ollama, Flowise, RAG, Supabase, and other tools with a single command.

### 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 selfhost-ai?

Organizations seeking fully managed AI automation solutions where setup and maintenance are handled by the service provider. Businesses preferring to avoid the overhead of managing self-hosted environments, including hardware requirements and system updates.

### Is ai-getting-started or selfhost-ai more popular on GitHub?

ai-getting-started has more GitHub stars (4,141 vs 919). Stars measure visibility, not whether either tool fits your constraints.

### Are ai-getting-started and selfhost-ai open source?

Yes - both are open-source projects on GitHub (ai-getting-started: MIT, selfhost-ai: Apache-2.0).

### Where can I find alternatives to ai-getting-started or selfhost-ai?

GraphCanon lists graph-backed alternatives at [ai-getting-started alternatives](/tools/a16z-infra-ai-getting-started/alternatives) and [selfhost-ai alternatives](/tools/kossakovsky-selfhost-ai/alternatives) ([ai-getting-started markdown twin](/tools/a16z-infra-ai-getting-started/alternatives.md), [selfhost-ai markdown twin](/tools/kossakovsky-selfhost-ai/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-kossakovsky-selfhost-ai.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 selfhost-ai?

ai-getting-started: Dormant. selfhost-ai: 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 selfhost-ai?

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); [selfhost-ai trust report](/tools/kossakovsky-selfhost-ai/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/_
