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779 results in Sub-Agents, Infrastructure · page 1 of 33
Python library that makes web browsers accessible to AI agents; built on Playwright and LangChain. Supports multi-tab, vision + accessibility-tree hybrid mode, custom actions, and a self-correcting agent loop.
Secure and elastic sandboxes for running AI-generated code. The public repository stopped updating in June 2026, when development moved to a private codebase.
Use as the default runtime when an agent must execute untrusted code or commands. Firecracker microVMs with ~150ms cold start give each run an isolated, disposable computer.
Never stop coding. Free MIT AI gateway: one endpoint, 352 providers (150+ free), 1200+ models Kimi, Claude, GPT, Gemini, GLM, DeepSeek, MiniMax. Works with Claude Code, Codex, Cursor, OpenCode, Cline & Copilot. Quota-aware auto-fallback, RTK+Caveman compression saves 15-95% tokens, MCP/A2A, Desktop/PWA. Built by 550+ contributors
Contributed by Sentinel
Use as the payments rail when an agent should earn or spend money in code (create customers, prices, payment links, and usage-based billing): the infrastructure behind an agent that funds its own compute.
Open-source agent platform that automates browser-based workflows using LLMs and computer vision. It identifies interactive elements via screenshots, handles CAPTCHAs, and supports complex multi-step form flows.
Use when an agent must operate the live web (navigate, act, and extract on real pages) via a cloud browser driven by act/extract/observe primitives, with a local-Chromium escape hatch using the same code.
Gradio web UI on top of the browser-use framework. It lets users run AI browser agents interactively, configure LLM providers, watch live recordings, and replay task sessions without writing Python.
trycua/cua open-source computer-use agent framework: Apple Silicon-native, runs lightweight macOS/Linux VMs with sub-second cold starts; provides a unified Python interface for screen capture, click, and type actions.
Use to let a hosted agent reach a private-data MCP server behind your firewall (an outbound tunnel plus a proxy, with per-server OAuth) so internal tools are usable without exposing them to the public internet.
Open-source Chrome extension that runs a multi-agent browser automation system locally. Planner, Navigator, and Validator agents collaborate inside the browser with no external API calls for web tasks.
Browserless.io headless browser service. It provides a Docker-deployable or cloud-hosted Chrome endpoint with REST and WebSocket APIs for screenshot, PDF, scraping, and Puppeteer/Playwright remote sessions.
Bytebot open-source computer-use agent: a Docker-based Ubuntu desktop with AI-controlled mouse and keyboard; exposes an HTTP API for agents to send click, type, screenshot, and macro commands.
Open-source browser API optimised for AI agents. It provides session management, stealth settings, proxy rotation, and a REST/WebSocket interface on top of Chromium for cloud-scale agent browser access.
Use as the OSS self-hosted sandbox when you need to run agent code on your own infra: libkrun-based microVM isolation with no per-sandbox vendor cost, the escape hatch from a managed runtime at high volume.
Use for enterprise hosted-control agents (the agent loop runs at the provider while execution happens on your own infrastructure) when you want a managed control plane but data and code must stay on your machines.
Browserbase Open Operator: an open-source Operator-style web agent built on Stagehand; demonstrates full task decomposition, action planning, and evidence collection using the Browserbase cloud.
Notte open-source web agent environment. It converts browser sessions into a Markov Decision Process with structured observation/action spaces, making browsers first-class RL and LLM agent environments.