How abhinavsharma-me/ai-building-from-scratch works
This repository is a curated learning guide, not an implemented AI product. Its principal user workflow is to browse the README’s topic areas and follow the listed resources to study how AI systems are built. The README explicitly groups agent topics into interface, reasoning, serving, orchestration, autonomy, and evaluation; it also lists emerging trends and developer tools. Retrieval & Memory, Core Models, and Foundations appear in the table of contents, but their details are outside the supplied excerpt. No runtime relationships can be established from the available files.
Main entry points: README.md Learning Guide
Components 14
AI Agents
- CLI Agents
README.md - Reasoning Loops
README.md - Cloud Agents
README.md - Multi-Agent Systems
README.md - Autonomous Agents
README.md - Agent Evaluation
README.md
Developer Tools
- AI IDEs
README.md
Other Topics
- Retrieval & Memory
README.md - Core Models
README.md - Foundations
README.md
Other components
- Learner
- Learning Guide
README.md
Connections 13
- Learner → Learning Guide: browses
README.md - Learning Guide → OpenClaw: features
README.md - Learning Guide → NanoBot: features
README.md - Learning Guide → CLI Agents: covers
README.md - Learning Guide → Reasoning Loops: covers
README.md - Learning Guide → Cloud Agents: covers
README.md - Learning Guide → Multi-Agent Systems: covers
README.md - Learning Guide → Autonomous Agents: covers
README.md - Learning Guide → Agent Evaluation: covers
README.md - Learning Guide → AI IDEs: covers
README.md - Learning Guide → Retrieval & Memory: lists
README.md - Learning Guide → Core Models: lists
README.md - Learning Guide → Foundations: lists
README.md