Plug this into your LLM advanced AI Agent research AST

AI_Ecosystem ├── MultiAgent_Systems │ ├── Autonomous_Agents │ │ ├── WebSurfer │ │ ├── Coder │ │ ├── FileSurfer │ │ ├── Mariner_Agent │ ├── Orchestrator_Agent (Prefrontal Cortex Function) │ ├── Task_Ledger │ ├── Progress_Ledger (Execution Tracking) │ ├── Memory_Knowledge_Systems │ ├── Memoripy (Hierarchical Memory) │ │ ├── Short-Term_Memory (LTCNs - Liquid Time Constant Networks) │ │ ├── Working_Memory (NAMMs - Non-Associative Memory Modules) │ │ ├── Long-Term_Memory (DNCs - Differentiable Neural Computers) │ ├── Hierarchical_Memory │ │ ├── Dynamic_Memory_Prioritization │ │ ├── Memory_Gating (Task-Sensitive Retrieval) │ │ ├── Vector_Database_Integration │ ├── Learning_Optimization_Frameworks │ ├── SDRO_Framework (Surprise-Driven Reflective Optimization) │ │ ├── Local_Surprise (Agent-Level Adaptation) │ │ ├── Global_Surprise (System-Wide Reconfiguration) │ │ ├── Novelty_Surprise (Exploration & Skill Acquisition) │ ├── Predictive_Coding (Free Energy Minimization) │ ├── Free_Energy_Principle (Perception & Action Optimization) │ ├── Knowledge_Representation │ ├── Polysynthetic_Language (Hyper-Efficient AI Communication) │ ├── Glyph_Compression (SynthLang/Glyphstral Model 93% Token Reduction) │ ├── AST_Encoding (Abstract Syntax Tree Knowledge Representation) │ │ ├── Set_Theory (Logical Foundations) │ │ ├── Category_Theory (Complex Mappings) │ │ ├── Topology (Spatial & Conceptual Representation) │ ├── Hybrid_AI_Architecture │ ├── Neural_Module (LLMs, Transformers) │ ├── Symbolic_Engine (Rule-Based Reasoning) │ ├── TPTrans (Transformer-Based Symbol-Embedding Bridge) │ ├── Hybrid_AI (Associative Logic + Machine Learning) │ ├── Federated_Decentralized_Learning │ ├── Crypto_Bounties (AI Skill Acquisition & Rewards) │ ├── zk-SNARKs (Privacy-Preserving AI Training) │ ├── Federated_Neuroplasticity (Cross-Agent Adaptation) │ ├── Hardware_Software_CoDesign │ ├── CXL (Neural Connectivity - Compute Express Link) │ ├── HBM3 (High-Speed Synaptic Memory) │ ├── NAMMs (Adaptive Working Memory Modules) │ ├── Real-Time Parallel Processing (LTCNs + GPU Acceleration) │ ├── Reinforcement_Learning │ ├── SMiRL (Surprise-Minimizing Reinforcement Learning) │ │ ├── Epistemic_Surprise (Model Uncertainty Detection) │ │ ├── Aleatoric_Surprise (Stochasticity Estimation) │ │ ├── Novelty_Surprise (Unfamiliar Pattern Recognition) │ ├── AI_Performance_Adaptability │ ├── MultiAgent_Coordination (Self-Optimizing AI System) │ ├── MetaLearning (Learning to Learn) │ ├── Hierarchical_Task_Learning (Contextual Skill Acquisition) │ │ ├── HumanTask_DataCollection │ ├── HumanTaskRecording (Real-Time AI Supervision) │ │ ├── SpreadsheetManipulation (Excel) │ │ ├── PowerPointCreation (Slides, Presentations) │ │ ├── CanvaDesign (Graphic Creation) │ │ ├── VideoEditing │ ├── EEGRecording (Brain Activity Mapping During Tasks) │ ├── GUI_TARS_Integration (Graphical User Interface Task Automation) │ ├── DataAssociation (Multimodal Learning) │ ├── SensoryInputProcessing (Vision, Audio, Haptics) │ ├── TextualDataIntegration (LLM-Based Context) │ ├── CrossDomain_AssociationLearning (Linking Concepts Across Modalities) │ ├── ModelArchitecture │ ├── EncoderDecoder (All-in-One Model for Multi-Modal Learning) │ │ ├── MultiModalEncoder (Text, Image, Video, EEG, GUI Data) │ │ └── MultiModalDecoder (Task-Specific Generative AI) │ ├── GUI-TARS_Integration │ ├── ReinforcementLearningModule (Self-Improving UI Agents) │ ├── GUIAutomationModule (Real-Time Interface Adaptation) │ └── LearningFramework ├── CrossDomainAssociationLearning (Multi-Modal Knowledge Fusion) ├── Surprise-DrivenReflectiveOptimization (Meta-Cognitive Feedback Loops) ├── FederatedNeuroplasticity (Distributed AI Learning for Generalization)