AGENTIC AI
Agent Core
Simulate the complete agent loop: perceive-think-act cycles, ReAct reasoning traces, agent anatomy breakdown, failure mode analysis, and com…
Perceive-Think-ActReActAgent LoopTypes
Explore autonomous AI agents: ReAct loops, memory systems, tool use, multi-agent orchestration, and full RAG pipelines — the architecture behind modern AI assistants.
Simulate the complete agent loop: perceive-think-act cycles, ReAct reasoning traces, agent anatomy breakdown, failure mode analysis, and com…
Explore all agent memory types: in-context short-term, external long-term, episodic buffer with retrieval, semantic vector store with cosine…
Build and simulate function calling schemas, parallel tool execution graphs, error handling and retry strategies, tool selection reasoning, …
Chain-of-Thought step generation, Tree of Thought branching with evaluation, Monte Carlo Tree Search planning, task decomposition, and refle…
Visualize multi-agent architectures: orchestrator-specialist networks, agent debate simulations, swarm intelligence, handoff protocol chains…
Full RAG pipeline simulator: chunking strategy comparison, vector embedding visualization, cosine retrieval with top-K, prompt augmentation …