Most "AI browsers" today are either a paid add-on bolted onto Chrome, or a cloud service that sends your browsing to someone else's servers. BrowserOS takes a different approach: it's a full browser you install and use every day, with an AI agent built directly into it that can act on pages for you — summarizing an article, filling in a form, or clicking through a multi-step task — while keeping everything running on your own machine. BrowserOS is an open-source Chromium fork (AGPL-3.0) with native AI agent capabilities, positioned as a privacy-first alternative to commercial AI browsers like ChatGPT Atlas or Perplexity Comet. It supports 11+ LLM providers, including fully local models via Ollama, so you can run agent tasks without ever sending data to a cloud API if you choose. A companion project, BrowserClaw, exposes the browser to external AI coding agents (Claude Code, Cursor) via the Model Context Protocol, letting them control a real browser session — with your existing logins — to automate research or testing tasks. The core browser is free; costs only appear if you choose a paid model provider like OpenAI or Anthropic for the AI features.
| # | Tool | Best for | Price |
|---|---|---|---|
| 1 | Équipes d'ingénierie et entreprises produit voulant intégrer des agents de codage autonomes sans perdre le contrôle de leurs données, identifiants ou infrastructure. | — | |
| 2 | Développeurs et ingénieurs ML sur Mac Apple Silicon voulant exécuter localement de gros modèles de langage sans matériel cloud ni GPU dédié. | — | |
| 3 | Entreprises de secteurs réglementés (défense, secteur public, finance) ayant des exigences strictes de résidence des données et ne pouvant pas utiliser d'API tierces. | — | |
| 4 | Développeurs construisant des agents IA nécessitant un support multi-fournisseurs LLM et une intégration éditeur | — | |
| 5 | Équipes et développeurs individuels utilisant plusieurs harnais d'agents IA (Claude Code, Cursor, Gemini CLI, GitHub Copilot CLI...) | — | |
| 6 | Entreprises B2B avec un produit établi cherchant à être citées par les IA génératives (ChatGPT, Perplexity, Gemini, Claude) plutôt que par Google | — | |
| 7 | Développeurs, équipes IA et entreprises comparant le coût des modèles IA avant de choisir un fournisseur | — | |
| 8 | Équipes de développement et utilisateurs d'agents de codage IA qui évaluent des frameworks de spec-driven development. | — | |
| 9 | Équipes de développement standardisant des règles de code entre plusieurs agents de codage IA. | — | |
| 10 | Développeurs et équipes utilisant des agents de codage IA sur plusieurs sessions | — | |
| 11 | Développeurs d'agents IA, équipes évaluant la qualité du code généré par IA | — | |
| 12 | Agents de codage IA et développeurs construisant des outils basés sur des agents | — |
An open-source conversational API that enables autonomous AI agents to execute coding work in isolated sandboxes with access to repositories, tools, and credentials. Self-hosted platform for agent orchestration with streaming output and multi-turn convers
A Swift-based inference engine that enables running the 125-billion parameter Qwen 3.8-Flash-Next model on Apple Silicon Macs with limited memory by streaming expert weights from storage. Achieves approximately 12 tokens/second on 48GB M-series Macs.
Self-hosted AI platform for distributed, multi-model LLM inference on Kubernetes clusters with single-command installation and air-gapped deployment support.
Open-source Rust runtime for building AI agents that can call multiple LLM providers, run tools safely, and plug into terminals, CLIs, or editors like Zed and Claude Code.
A shared home for AI coding agent sessions, prompts, and tool calls, so teams can search, share, and pick up each other's agent work across different harnesses.
Done-for-you optimization service that helps B2B companies get cited and recommended by AI systems like ChatGPT, Perplexity, Gemini, and Claude.
A free, real-time pricing tracker that compares nearly 1,000 AI models across 17 providers, so you can see who's actually cheapest before you build.
Open, community-maintained directory tracking spec-driven development frameworks and real-world projects to evaluate their practical effectiveness.
Define coding rules once as version-controlled Markdown, then auto-generate the config files Cursor, Claude, GitHub Copilot, and other AI coding agents expect.
A free, open-source local memory system for AI coding agents that stores project decisions and context in SQLite, so you don't have to re-explain the same project to your agent every session.
A free Python tool that catches AI-generated code hallucinations — invented packages, fabricated APIs, wrong call signatures — using deterministic analysis instead of asking another AI model to check.
A free, open-source local code-graph engine that lets AI coding agents query symbol relationships and code structure directly, instead of guessing from repeated grep-style searches.
