Category

12 Lessons to Get Started Building AI Agents

Claude Quickstarts is a collection of projects by Anthropic to help developers quickly build deployable applications using the Claude API. It includes quickstarts for a customer support agent, financial data analyst, computer use demo, and autonomous coding agent, demonstrating Claude's capabilities in natural language processing, data analysis, computer control, and automated coding.

A community-maintained, open-source collection of prompts for ChatGPT and other chat-based large language models. The project offers a browsable site (prompts.chat), PROMPTS.md/prompts.csv source files, a self-hosting guide, and publishes prompts under CC0 (public domain).

The Claude Cookbooks is a GitHub repository by Anthropic featuring a collection of notebooks and recipes that demonstrate fun and effective ways to use the Claude AI model. It offers copy-paste Python code snippets for developers to integrate into projects, covering topics like classification, retrieval-augmented generation, tool use, third-party integrations, multimodal capabilities, and advanced techniques.

Awesome LLM Apps is a curated open-source repository collecting awesome LLM applications built with RAG, AI Agents, Multi-agent Teams, MCP, Voice Agents, and more, using models from OpenAI, Anthropic, Gemini, xAI, and open-source alternatives like Qwen or Llama that can run locally.

AI Engineering Hub is a comprehensive GitHub repository offering in-depth tutorials and 93+ production-ready projects on LLMs, RAGs, AI agents, and real-world AI applications for all skill levels.

The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. It showcases practical applications and provides links to open-source projects for implementation, illustrating how AI agents are transforming sectors such as healthcare, finance, education, retail, and more.

An open-source GitHub repository that collects system prompts, internal tool configurations, and model-related snippets for many AI products and developer tools (examples: Claude, Perplexity, Replit, VSCode Agent, NotionAI and more). It presents a large corpus (advertised 30,000+ lines) useful for prompt engineering, AI tooling research, and security awareness. The repo includes sponsorship/support info, donation addresses, and a security notice for AI startups.

This GitHub repository contains n8n workflow templates and examples produced for the "AI Agents A-Z" YouTube series. It provides episode-by-episode templates for building agent-style automations (prescription agent, daily digest, social media automation, deep-research agents, video/image generation pipelines, lead generation, etc.), plus links to companion servers and Docker images used in demonstrations. It’s designed for creators and developers who want ready-made n8n workflows to build and run AI-driven agents and content pipelines.

12-Factor Agents is an open-source guide and GitHub project from HumanLayer that lays out 12 engineering principles for building production-ready LLM-powered applications and agents. It covers practical topics such as prompt ownership, context-window management, structured tool outputs, execution state, control flow, error compaction, small focused agents, and stateless design. The repo includes in-depth writeups for each factor, examples, and links to talks and related resources. Code is Apache 2.0 and content CC BY-SA 4.0.

Learn Claude Code is an open-source, educational GitHub repository by shareAI-lab that teaches how modern AI coding agents work by building one from scratch. It provides five progressive example agent implementations (v0–v4), explanations, docs (EN + ZH), and tooling to run or scaffold agents; compatible with Kode CLI, Claude Code, Cursor and the Agent Skills Spec.

Claude Code Plugins is a comprehensive production-ready system combining 85 specialized AI agents, 15 multi-agent workflow orchestrators, 47 agent skills, and 44 development tools organized into 63 focused, single-purpose plugins for intelligent automation and multi-agent orchestration with Claude Code.