AI_Agent_Workshop and ai-agents-the-definitive-guide
These are complements: the workshop provides hands-on implementation guidance while the definitive guide offers comprehensive conceptual foundations, making them useful together for learning AI agents from theory to practice.
About AI_Agent_Workshop
marscod/AI_Agent_Workshop
This repository provides a basic guide on building and deploying an AI agent.
Demonstrates practical agent implementation using external LLM APIs (Groq, XAI Grok2) with environment-based configuration, alongside optional local inference via Ollama or LLM Studio. The workshop includes a ready-to-run Colab notebook and GitHub Codespaces setup for immediate hands-on experimentation without local infrastructure. Covers full deployment workflow from agent development through public exposure via port forwarding.
About ai-agents-the-definitive-guide
Nicolepcx/ai-agents-the-definitive-guide
Repo for AI Agents The Definitive Guide
Provides executable Jupyter notebooks covering agent architectures (planning, reactivity, multi-agent systems), reasoning mechanisms, tool integration, safety guardrails, and production deployment patterns. Code is organized by chapter with runnable examples in Google Colab, supporting GPU execution for model benchmarking and optimization techniques. Includes utilities for implementing agent systems across domains from foundational LLM concepts through autonomous long-horizon task execution.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work