812 results in Identity, Infrastructure, Workflows · page 2 of 34
WorkflowsPreview
claude-code-infrastructure-showcase
An approach to working with Skills that uses hooks to make Claude select and activate the right Skill for the current context. Documented, and adaptable to other projects and workflows.
A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use. Resources are in Korean but can produce high-quality English-language output.
35+ short Claude Code tips covering voice input, system prompt patching, container workflows for risky tasks, conversation cloning, multi-model orchestration with Gemini CLI and more, with demos, working scripts and a plugin.
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 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.
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.
A development environment for Claude Code with a spec-driven workflow, TDD enforcement, cross-session memory, semantic search, quality hooks and modular rules. Large, with wide coverage.
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.
E2B Desktop Sandbox: a cloud virtual desktop (Ubuntu + VNC) with Python SDK for screenshot, mouse, keyboard, and process control; designed for AI agents that need a full GUI environment in an isolated VM.
Emergence AI agent-E browser agent: hierarchical LLM-based web automation that uses DOM distillation and action abstraction layers to achieve significantly higher benchmark accuracy than prior browser agents.
Research browser agent from Zhejiang University and HKU. It uses GPT-4V interleaved screenshot + HTML observations to complete open-ended web tasks; established an early web-agent benchmark (WebVoyager).