PearAI is a curated platform for cutting-edge AI tools, offering a unified interface to seamlessly switch between various solutions without manual configuration. It targets developers and AI enthusiasts seeking an efficient way to access and utilize a growing ecosystem of AI technologies.

How It Works

The project is a monorepo comprising several distinct components. The core user experience is delivered through pearai-app, a VSCode fork providing editor functionalities, which integrates pearai-submodule, a Continue fork handling AI chat features. A Next.js/React landing page (pear-landing-page) and documentation site (pearai-documentation) support user onboarding. An optional Python FastAPI backend (pearai-server) offers convenience by managing API keys, with logging via Axiom.

Quick Start & Requirements

• Install: The project is built with TypeScript/Electron.js. Specific installation instructions are not detailed in the README, but it is implied that cloning the repository and following individual component setup is necessary.
• Prerequisites: TypeScript, Electron.js, Next.js, React, Supabase, TailwindCSS, Shadcn, Python FastAPI, Axiom.
• Resources: Setup time and resource footprint are not specified.
• Links: FAQ is available on the website.

Highlighted Details

• Unified interface for switching between AI tools.
• VSCode fork (pearai-app) for integrated development experience.
• Optional managed backend (pearai-server) for API key convenience.
• Stack includes TypeScript, Electron.js, Next.js, React, Python FastAPI.

Maintenance & Community

• Community contributions are welcomed via "Quests" (sprints) and general issue tackling.
• Direct contact is encouraged via Discord and email (pearai@trypear.ai).
• Links to Discord are available for questions and issues.

Licensing & Compatibility

• Licensing details are not explicitly stated in the README.
• Compatibility for commercial use or closed-source linking is not specified.

Limitations & Caveats

The README indicates that the pearai-server is semi-private, suggesting potential access limitations or specific usage terms. Detailed setup, licensing, and compatibility information is not readily available within this master repository overview.