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Full Agentic Loop
Complete autonomous AI system with memory, tools, and reasoning
agentscomplex complexity
Overview
The full agentic loop combines all the key elements into a complete autonomous AI system. It can reason, remember, retrieve knowledge, take actions, and validate its own outputs—approaching human-like problem-solving capability.
How It Works
1. Agent receives goal and loads relevant memory from Vector DB
2. Uses RAG to ground planning in knowledge
3. Breaks goal into actionable steps
4. For each step:
- Decides on action (function call)
- Executes and observes result
- Stores new learnings in memory
5. Guardrails validate each step
6. Continues until goal achieved or blocked
Use Cases
- •Fully autonomous AI assistants
- •Complex research and analysis tasks
- •Long-running project execution
- •Self-improving AI systems
Real-World Examples
Advanced AI Assistants
Next-generation autonomous AI
AI Software Engineers
Systems like Devin that can build complete projects
Research Agents
AI that can conduct comprehensive investigations