Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A collection of expert guides and tutorials on how to build real AI agents. Includes resources from OpenAI, Anthropic, Google, and others working on production-level systems
| Date | Stars |
|---|---|
| 2026-07-31 | 388 |
| 2026-08-06 | 389 |
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# 🧠 AI Agent Starter Kit The essential starter kit for building real AI agents — featuring foundational docs and internal guides from OpenAI, Google, and Anthropic. These are the original source materials used by the teams defining how agents actually work. > 📎 All documents are publicly available and shared here for **educational purposes only**. Original authors retain all rights. --- ## 📚 Included Guides | Title | Author / Org | Summary | |------------------------------------------------|-----------------------|---------| | A Practical Guide to Building Agents | OpenAI | Core components: planner, executor, memory, iteration. How to make agents work in practice. | | AI in the Enterprise | OpenAI | Strategic rollout and value-first adoption of AI agents across organizations. | | Building Effective Agents | Anthropic | Claude-specific prompt flows, memory linking, and agent iteration. | | Prompting Guide 101 | Google | Role-based prompting, Gemini tips, and Google Workspace integrations. | | 601 Real-World AI Use Cases | Google Cloud | Broad collection of applied AI scenarios, many involving agents. | | Identifying & Scaling AI Use Cases | OpenAI | Impact-effort filters, readiness checklists, risk mapping. | | Prompt Engineering Whitepaper | Google | From zero/few-shot to ReAct, CoT, RAG. Includes structured prompt examples. | | Agents Companion | Google | Full agent pipelines, system metrics, and two real implementation case studies. | --- ## ✅ Who This Kit Is For - Engineers building LLM-based agents from scratch - Product teams deploying autonomous systems - Researchers designing agent architectures - Builders looking for first-hand, high-quality reference material --- ## 📂 File Structure /expert-guides/ ├── openai-practical-agents.pdf ├── openai-enterprise-guide.pdf ├── anthropic-building-agents.pdf ├── google-prompting-101.pdf ├── google-601-usecases.pdf ├── openai-scaling-usecases.pdf ├── google-prompt-engineering.pdf ├── google-agents-companion.pdf Each file is named clearly and sourced directly from the original organizations. --- ## 🧭 How to Use This Repository 1. Explore the `/expert-guides` folder and select the document most relevant to your goal. 2. Read it as-is, or annotate it in your own note system. 3. Apply one insight from each document to improve your next agent prototype. You don’t need 100 resources. You need the right ones. These are it. --- ## 🔍 Tags `ai-agents` · `llm` · `autonomous-agents` · `openai` · `google` · `anthropic` · `starter-kit` · `agent-design` · `prompt-engineering` --- ## 🔒 License & Attribution This repository organizes **publicly available, expert-authored documents**. It is intended for **non-commercial, educational use**. All content belongs to its original authors and organizations.
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Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:e20170b8014b40c6, name:ai agent, desc:ai agents