// ARTIFICIAL INTELLIGENCE
AI AGENT LAB
A research-driven environment for developing autonomous digital entities — agents capable of complex reasoning, tool usage, and self-correction using state-of-the-art LLMs.
RESEARCH FRONTIERS
Agentic Reasoning
ReAct and Plan-and-Execute patterns allowing agents to "think" before acting on complex multi-step tasks.
RAG Architectures
Advanced Retrieval-Augmented Generation with vector databases for context-aware, factual AI responses.
Tool Orchestration
Systems enabling AI agents to interact with APIs, search engines, and code environments securely.
AGENT ARCHITECTURE
USER PROMPT
INPUT
LLM CORE
GPT / CLAUDE
TOOL CHAIN
APIs / CODE
VECTOR DB
CHROMA
AGENT REASONING LOOP
THINK
ACT
OBSERVE
REFINE
RESPOND
AGENT CONSOLE
agent-lab.local
SCREENSHOTS