🤖 AI Agents & Harness Engineering — Topic Resources
Curated list of top landmark papers, open-source repositories, video series, free courses, and code references for AI Agents, Agent Harnesses, Model Context Protocol (MCP), Tool Execution, Memory Systems, and Multi-Agent Systems .
📄 Landmark Papers & Essential Reading
Paper / Reference
Key Takeaways & Focus
Link
ReAct: Synergizing Reasoning and Acting in Language Models (Yao et al., 2022) Introduced the interleaved Thought-Action-Observation loop driving modern autonomous agents.
ArXiv Link
Toolformer: Language Models Can Teach Themselves to Use Tools (Schick et al., 2023) Showed self-supervised training for LLMs to invoke APIs dynamically via specialized token calls.
ArXiv Link
Generative Agents: Interactive Simulacra of Human Behavior (Park et al., 2023) Landmark paper detailing architectural memory stream, reflection, and planning for multi-agent social simulations.
ArXiv Link
Reflexion: Language Agents with Verbal Reinforcement Learning (Shinn et al., 2023) Autonomous agents reflecting on execution feedback, storing verbal memories to avoid repeating mistakes.
ArXiv Link
Voyager: An Open-Ended Embodied Agent with Large Language Models (Wang et al., 2023) Showed lifelong learning, skill library expansion, and self-improving code generation in Minecraft.
ArXiv Link
💻 Top Open-Source Frameworks & SDKs
Repository
Description
Link
LangGraph Industry-standard graph-based framework for stateful, multi-agent workflows with cycles and human-in-the-loop.
GitHub Repo
Smolagents Minimalist, code-first agent framework from Hugging Face executing code actions natively.
GitHub Repo
AutoGen Microsoft's multi-agent framework enabling complex conversational agent teams and task delegation.
GitHub Repo
CrewAI Role-playing, autonomous multi-agent framework for collaborative task execution.
GitHub Repo
FastMCP High-level Python SDK for rapidly building Model Context Protocol (MCP) servers and tools.
GitHub Repo
Claude Code CLI Anthropic's agentic CLI tool for autonomous pair programming, tool invocation, and terminal execution.
Anthropic Docs
🎥 Must-Watch YouTube Videos & Free Lectures
Video / Playlist
Creator
Description
Link
Functions, Tools, and Agents with LangChain DeepLearning.AI
Free course by Harrison Chase (LangChain Founder) on building tools, memory, and multi-agent systems.
DeepLearning.AI Site
AI Agent Design Patterns Andrew Ng
Masterclass explaining reflection, tool use, planning, and multi-agent collaboration design patterns.
YouTube Video
Building Code-Executing Agents Hugging Face
Deep dive into Smolagents and code execution vs JSON tool calling for real-world reliability.
YouTube Video
🎓 Free Courses & Open Curricula
Course Title
Institution / Host
Focus
Link
AI Agents in Practice DeepLearning.AI
Practical hands-on training on agent loops, memory, human-in-the-loop approval, and tool safety.
DeepLearning.AI Course
Agents Towards Production Community Hub
Open-source collection of production patterns, safety guardrails, and telemetry for agents.
GitHub Repo
⚙️ Code References & Hands-on Notebooks