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BrowserAI

sauravpanda/BrowserAI

Run local LLMs like llama, deepseek-distill, kokoro and more inside your browser

GitHub Website

GraphCanon updated 1mo · GitHub synced 1mo · 25 views this month

1.4k stars138 forksLast push 1mo TypeScript MIT

Decision brief

BrowserAI runs various local LLMs directly in your browser using TypeScript.

Good fit when

You need to run local models like llama, deepseek-distill, kokoro inside the browser environment.
Your project focuses on AI agent interaction and efficient inference within web constraints.

Avoid when

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.

Observed Jul 12, 2026 · Source: enrich:decision_facts

BrowserAI alternatives Trust report

Verify the decision

Adoption

Package downloads where a registry match exists. GitHub stars (1,446) are secondary evidence.

npm downloads (30d): 309·npm downloads API·1mo

Maintenance and security

Full trust report

Maintenance: Very active (4d since push); As of 1mo
Provenance: Not a fork · Personal account; As of 1mo
Security (OSV): No lockfile; As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

npm install BrowserAI

npm

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Same-category neighbours. No typed graph edges are catalogued for this tool yet.

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

This repository provides a platform to run various local language models within the browser environment using TypeScript, focusing on inference capabilities and enabling AI agents interaction.

Capability facts

MCP server: No MCP server detected
Source: repo_scan · Jul 25, 2026
Languages: typescript, javascript
Source: github.language+package.json · Jul 25, 2026

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Node.js runtimeNode.js

Source: README excerpt (regex_v1, Aug 25, 2026)

npm install @browserai/browserai

Source link

README

🚀 Quick Start

npm install @browserai/browserai

yarn add @browserai/browserai

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🚀 Requirements

Modern browser with WebGPU support (Chrome 113+, Edge 113+, or equivalent)
For models with shader-f16 requirement, hardware must support 16-bit floating point operations

For agents

This page has a .md twin and JSON over the API.

/tools/sauravpanda-browserai.md GET /api/graphcanon/tools/sauravpanda-browserai GET /api/graphcanon/graph?tool=sauravpanda-browserai