Stagehand SDK

Stagehand is an open-source framework from Browserbase for building and evaluating agentic web-automation systems. It is used with browser sessions to let AI agents interact with web pages and complete tasks across the web.

BrowserSkill is an open-source browser-automation bridge for AI agents, consisting of the `bsk` CLI and daemon plus a Chrome or Microsoft Edge extension. An agent sends browser tasks through the CLI; the local daemon routes them over WebSocket to the extension, which performs actions in a separate visible Agent Window. Agents can use existing browser login state, borrow an already open tab only with explicit approval, and request human intervention for captchas, confirmations, or other user-only steps. It supports shell-capable agent harnesses, macOS, Linux, and Windows, and is distributed under the MIT license.

Agent Skills is a curated skill registry and npm-based CLI for extending AI coding agents such as Claude Code, Cursor, Copilot, and Antigravity with packaged instructions, templates, and reference files. The CLI fetches a catalog, lets users search and select skills, caches downloads locally, and installs them to selected agents by copying or symlinking them at global or project scope; it also supports updating, removing, auditing, and managing cached skills. The repository describes the catalog as an open-source, human-curated library with CI static analysis, content hashing, lockfiles, path isolation, symlink guards, sanitization, audit logging, and Snyk Agent Scan checks. It also includes an MCP server that exposes progressive-disclosure tools for listing, searching, reading, and fetching skill files. The CLI source is MIT-licensed; maintainer-authored skills are generally CC BY 4.0, while third-party skills retain their own licenses.

AutoBrowse is an open-source browser-skill training demo from the AI Engineers workshop. It pairs a frozen doer agent, which operates a browser through the browse CLI and records a trace, with a teacher agent that studies the trace, forms a hypothesis, edits strategy.md, and judges the next attempt. Repeated iterations hill-climb the strategy for a specified website and task; a final graduation run converts the strategy into a reusable SKILL.md that can be installed for Claude Code or Codex. The repository includes a local live UI, headless forge and demo commands, streamed run events, and per-run artifacts under ./workspace. It uses Browserbase for browser sessions and Anthropic models by default, and the README identifies the vendored evaluate.mjs doer as MIT-licensed.

Agent S is an open-source computer-use agent framework from Simular. It accepts natural-language tasks, observes a real desktop through screen and accessibility signals, and operates ordinary applications by clicking, typing, scrolling, and executing optional local code rather than relying on per-application APIs or scripts. The project has progressed through three generations: accessibility-tree grounding with an LLM, a vision-based manager-worker architecture using multiple foundation models, and Agent S3, which scales computer-use attempts through parallel rollouts and selection. Its workflow can combine model-driven exploration with reusable automation code, replay saved skills, and recover when the interface changes. The framework supports macOS, Windows, and Linux, works with models from OpenAI, Anthropic, Gemini, OpenRouter, vLLM, and open-weight providers, and is distributed through the `gui-agents` Python package. An optional local coding environment can execute Python and Bash with the current user's permissions, so the repository warns that this capability should be used only in trusted environments.