1,943 results in Workflows, Skills, Infrastructure, Evals · page 3 of 81
InfrastructurePreview
steel-browser
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.
An autonomous AI development framework that enables Claude Code to work iteratively on projects until completion. Features intelligent exit detection, rate limiting, circuit breaker patterns, and comprehensive safety guardrails to prevent infinite loops and API overuse. Built with Bash, integrated with tmux for live monitoring, and includes 75+ comprehensive tests.
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.
A very professional collection of over a dozen security-focused skills for code auditing and vulnerability detection. Includes skills for static analysis with CodeQL and Semgrep, variant analysis across codebases, fix verification, and differential code review.
A guide to Claude Code from beginner to power user, with templates for its features, guides on agentic workflows, quizzes and a cheatsheet. Check that it is current before relying on it.
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.
Ralph Orchestrator implements the simple but effective "Ralph Wiggum" technique for autonomous task completion, continuously running an AI agent against a prompt file until the task is marked as complete or limits are reached. This implementation provides a robust, well-tested, and feature-complete orchestration system for AI-driven development. Also cited in the Anthropic Ralph plugin documentation.