Top 1% Guide: 10 Must-Read Papers That Shaped Modern AI Agent Frameworks
blaizedsouza · x · 2026-07-21
The author compiled a list of 10 classic papers that have profoundly impacted modern AI agent frameworks, helping developers systematically learn how to build agents.
- Chain-of-Thought (2022): Laid the foundation for reasoning models, proving that step-by-step reasoning dramatically improves complex problem-solving.
- ReAct (2022): Introduced the concept of agents alternating between thinking and acting to solve real-world tasks via web search and API calls.
- Toolformer (2023): Demonstrated how LLMs can autonomously learn when and how to use external tools like calculators and search engines.
- Generative Agents (2023): Explored how AI agents can maintain memory, form relationships, and engage in planning.
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