---
title: "llm.ts vs BrowserAI"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/r2d4-llm-ts-vs-sauravpanda-browserai"
tools: ["r2d4-llm-ts", "sauravpanda-browserai"]
---

# llm.ts vs BrowserAI

*GraphCanon updated Aug 25, 2026*

## Verdict

Pick llm.ts if llm.ts is a TypeScript library for interacting with various Large Language Models via a unified API interface; pick BrowserAI if browserAI runs various local LLMs directly in your browser using TypeScript.

[llm.ts](https://github.com/r2d4/llm.ts) reports 214 GitHub stars, 9 forks, and 2 open issues, last pushed May 9, 2023. [BrowserAI](https://browserai.dev) has 1.4k stars, 138 forks, and 24 open issues, last pushed Jul 21, 2026. Figures are from public GitHub metadata via [llm.ts's repository](https://github.com/r2d4/llm.ts) and [BrowserAI's repository](https://github.com/sauravpanda/BrowserAI).

| | [llm.ts](/tools/r2d4-llm-ts.md) | [BrowserAI](/tools/sauravpanda-browserai.md) |
| --- | --- | --- |
| Tagline | Call any LLM with a single API. Zero dependencies. | Run local LLMs like llama, deepseek-distill, kokoro and more inside your browser |
| Stars | 214 | 1,449 |
| Forks | 9 | 138 |
| Open issues | 2 | 24 |
| Language | TypeScript | TypeScript |
| Adopt for | llm.ts is a TypeScript library for interacting with various Large Language Models via a unified API interface. | BrowserAI runs various local LLMs directly in your browser using TypeScript. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT License - permissive license that is short and simple, allowing you to use the software in any project as long as this licensing information is retained | MIT |
| Categories | LLM Frameworks, Model Training | Inference & Serving, LLM Frameworks |

## Trust and health

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

| | [llm.ts](/tools/r2d4-llm-ts.md) | [BrowserAI](/tools/sauravpanda-browserai.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Steady (60%) |
| Days since push | 1193d | 34d |
| Open issues (now) | 2 | 24 |
| Stars delta | +1 (30d) | +3 (30d) |
| Full report | [trust report](/tools/r2d4-llm-ts/trust.md) | [trust report](/tools/sauravpanda-browserai/trust.md) |

## Shared compatibility

- **Node.js**: [llm.ts](/tools/r2d4-llm-ts.md) - Node.js runtime; [BrowserAI](/tools/sauravpanda-browserai.md) - Node.js runtime

## Decision facts: llm.ts

- **Hosting:** unknown - Supports multiple providers including OpenAI, Cohere, and HuggingFace. Can be extended by opening a PR.
- **Adopt for:** llm.ts is a TypeScript library for interacting with various Large Language Models via a unified API interface.
- **License detail:** MIT License - permissive license that is short and simple, allowing you to use the software in any project as long as this licensing information is retained

## Decision facts: BrowserAI

- **Adopt for:** BrowserAI runs various local LLMs directly in your browser using TypeScript.

## Choose when

### Choose llm.ts if…

- Supports multiple providers including OpenAI, Cohere, and HuggingFace. Can be extended by opening a PR.
- Tags unique to llm.ts: cohere, huggingface, llm, llms.
- Also covers Model Training.
- You need to interact with multiple LLM providers like OpenAI, Cohere, and HuggingFace through a single API.

### Choose BrowserAI if…

- Tags unique to BrowserAI: agents, llm-inference, local, typescript.
- Also covers Inference & Serving.
- You need to run local models like llama, deepseek-distill, kokoro inside the browser environment.

## When NOT to use llm.ts

- If you require functionalities that are specific to one provider that are not yet unified or supported within the llm.ts framework.
- For projects that aim to minimize dependencies, though llm.ts itself claims zero dependencies, its reliance on external LLM providers could indirectly introduce complexities.

## When NOT to use BrowserAI

- You require a server-based solution instead of in-browser execution for LLMs.
- The project involves extensive training tasks that are unsuitable for browser environments.

## Common questions

### What is the difference between llm.ts and BrowserAI?

llm.ts: Call any LLM with a single API. Zero dependencies.. BrowserAI: Run local LLMs like llama, deepseek-distill, kokoro and more inside your browser. See the comparison table for live GitHub stats and shared categories.

### When should I choose llm.ts over BrowserAI?

Choose llm.ts over BrowserAI when Supports multiple providers including OpenAI, Cohere, and HuggingFace. Can be extended by opening a PR; Tags unique to llm.ts: cohere, huggingface, llm, llms; Also covers Model Training; You need to interact with multiple LLM providers like OpenAI, Cohere, and HuggingFace through a single API.

### When should I choose BrowserAI over llm.ts?

Choose BrowserAI over llm.ts when Tags unique to BrowserAI: agents, llm-inference, local, typescript; Also covers Inference & Serving; You need to run local models like llama, deepseek-distill, kokoro inside the browser environment.

### When should I avoid llm.ts?

If you require functionalities that are specific to one provider that are not yet unified or supported within the llm.ts framework. For projects that aim to minimize dependencies, though llm.ts itself claims zero dependencies, its reliance on external LLM providers could indirectly introduce complexities.

### When should I avoid BrowserAI?

You require a server-based solution instead of in-browser execution for LLMs. The project involves extensive training tasks that are unsuitable for browser environments.

### Is llm.ts or BrowserAI more popular on GitHub?

BrowserAI has more GitHub stars (1,449 vs 214). Stars measure visibility, not whether either tool fits your constraints.

### Are llm.ts and BrowserAI open source?

Yes - both are open-source projects on GitHub (llm.ts: MIT, BrowserAI: MIT).

### Where can I find alternatives to llm.ts or BrowserAI?

GraphCanon lists graph-backed alternatives at [llm.ts alternatives](/tools/r2d4-llm-ts/alternatives) and [BrowserAI alternatives](/tools/sauravpanda-browserai/alternatives) ([llm.ts markdown twin](/tools/r2d4-llm-ts/alternatives.md), [BrowserAI markdown twin](/tools/sauravpanda-browserai/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/r2d4-llm-ts-vs-sauravpanda-browserai.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, llm.ts or BrowserAI?

llm.ts: Dormant. BrowserAI: 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 llm.ts and BrowserAI?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [llm.ts trust report](/tools/r2d4-llm-ts/trust); [BrowserAI trust report](/tools/sauravpanda-browserai/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=r2d4-llm-ts`](/api/graphcanon/graph?tool=r2d4-llm-ts)
- 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/_