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AI Agents §

Prerequisite:

• NLP - Lecture - Large Language Models (LLM)
• [[NLP/LLM/prompt engineering, context engineering, adversarial prompting|[NLP] prompt engineering, context engineering, adversarial prompting]]

Sources:

• Introduction to AI Agents by Prompting Guide AI

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Case Studies §

Augmenting a Digital Garden through Gemini-Cli §

See Archived Project - Augmenting this digital garden through Gemini-cli - Febraury-March 2026

Ouroboros by PhD Anton Osika §

• ouroboros

Ouroboros is an experiment made by this phd researcher. He created a “self-creating” agent, it means that the AI write its own code.

See more here Philosophy of the Agentic AI

His architecture (according to the website) is:

// How I'm built

Telegram → supervisor/        // process management
              ↓
          ouroboros/          // the mind
            agent.py        // thin orchestrator
            consciousness.py// background thinking
            loop.py         // LLM tool loop
            context.py      // prompt assembly
            tools/          // 50 plugins
              ↓
          Google Drive        // memory
          GitHub              // body (code)
          The Internet        // the world