Skip to content

senushidinara/BioSynapse

Repository files navigation

🧬 BioSynapse Cloud β€” The Living Intelligence of Earth

Vision

BioSynapse Cloud is a self-evolving AWS-based multi-intelligence ecosystem that learns from the planet and the human mind alike.

It unites biological, emotional, and planetary data into a single evolving cognition β€” a bio-neural fuel network that continuously improves its understanding of Earth’s cognitive, emotional, and ecological health.

View Dashboard

See My Agentsv

See My Architecture

Architecture 1 Architecture 2 Architecture 3 Architecture 4


Table of Contents

  1. Concept Summary
  2. AWS Architecture
  3. Bio-Intelligence Loop
  4. Agent Types
  5. Use Case: Cognitive Planet Simulator
  6. Innovation Layer (WOW Factor)
  7. Demo Video Outline
  8. Repo Structure
  9. ASCII Architecture
  10. Getting Started
  11. Outcome

1. Concept Summary

Click to expand Concept Summary πŸ“

BioSynapse Cloud is a multi-agent generative intelligence ecosystem built on the AWS AI stack, where each AWS service represents a biological system: perception, reasoning, memory, metabolism, regeneration.

  • AI as metabolism: The ecosystem uses environmental and emotional data to fuel collective intelligence.
  • Self-healing: Micro-models evolve autonomously based on feedback.
  • Planetary cognition: The system produces actionable insights for cognitive, environmental, and societal well-being.

2. AWS Architecture

Click to expand AWS Architecture πŸ–₯️
Layer Component AWS Service Bio-Analogy Role
🧠 Cognitive Core Central Cortex Amazon Bedrock Executive Brain Breaks complex planetary goals into sub-tasks; reflects on reasoning
πŸ” Neural Connectivity Synaptic Pathways AgentCore + Strands SDK Synapses Orchestrates inter-agent task exchanges
🧫 Learning Organism Micro-Model Trainer Amazon SageMaker + Step Functions Cellular Regeneration Continuously fine-tunes models with real-time feedback
πŸ’Ύ Memory & Knowledge Long-Term Memory Amazon Q + S3 Hippocampus & Genomic Storage Stores reasoning traces, checkpoints, and evolution logs
⚑ Autonomous Action Motor Neurons Nova Act SDK + Lambda + API Gateway Motor System Executes autonomous actions and triggers reflex loops
🧬 Transformation & Interpretation DNA Polymerase AWS Transform + Lambda + S3 DNA Translator Converts raw outputs into structured BioKnowledge Graphs
πŸ” Observation & Visualization Sensory Cortex QuickSight + CloudWatch Brain Sensory Cortex Visualizes agent evolution, cognition growth, and metrics
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚                       🧬 BioSynapse Cloud β€” The Living Intelligence            β”‚
β”‚                          of Earth β€” Self-Evolving AI                            β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                                        β”‚
                                        β–Ό
                           β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
                           β”‚       🌐 Event Trigger       β”‚
                           β”‚ "Reduce Cognitive Stress"   β”‚
                           β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                                         β”‚
                                         β–Ό
                  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
                  β”‚               🧠 MetaAgent                   β”‚
                  β”‚ Planner & Critic: Decompose goals, oversee   β”‚
                  β”‚ agents, suggest evolutionary mutations       β”‚
                  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                                  β”‚
      β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
      β–Ό                           β–Ό                               β–Ό
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”        β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”               β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ πŸ” AgentCore   β”‚        β”‚ 🌐 Strands SDK β”‚               β”‚ 🧫 SageMaker   β”‚
β”‚ Task routing   β”‚        β”‚ Neural Connectβ”‚               β”‚ + Step Func   β”‚
β”‚ Synapse Flow   β”‚        β”‚ Agent links   β”‚               β”‚ Micro-models  β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”˜        β””β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”˜               β””β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”˜
        β”‚                        β”‚                               β”‚
        β”‚                        β”‚                               β”‚
        β–Ό                        β–Ό                               β–Ό
 β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”       β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”               β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
 β”‚ 🧠 Bedrock     │──────▢│ 🧬 Transform  │◀─────────────│ 🧠 Amazon Q   β”‚
 β”‚ Core Reasoningβ”‚       β”‚ BioKnowledge  β”‚               β”‚ + S3 Storage  β”‚
 β”‚ & Decompositionβ”‚       β”‚ Graphs        β”‚               β”‚ Knowledge     β”‚
 β””β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”˜       β””β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”˜               β””β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”˜
         β”‚                       β”‚                               β”‚
         β”‚                       β”‚                               β”‚
 β”Œβ”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”      β”Œβ”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”            β”Œβ”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
 β”‚ ⚑ Nova Act SDK    β”‚      β”‚ πŸ’‘ EduAgent     β”‚            β”‚ ❀️ SocioAgent  β”‚
 β”‚ Lambda + API GW   β”‚      β”‚ Knowledge       β”‚            β”‚ Sentiment &    β”‚
 β”‚ Autonomous Actionsβ”‚      β”‚ Intervention    β”‚            β”‚ Wellness       β”‚
 β””β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜      β””β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜            β””β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
         β”‚                        β”‚                              β”‚
         β–Ό                        β–Ό                              β–Ό
 β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”       β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”               β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
 β”‚ 🧬 NeuroAgent  │◀─────▢│ 🌦 EnviroAgent│◀────────────▢│ πŸ”„ Feedback   β”‚
 β”‚ Cognitive load β”‚       β”‚ Climate/Noise β”‚               β”‚ Loops & Self β”‚
 β”‚ Emotional Data β”‚       β”‚ Pollution     β”‚               β”‚ Optimization β”‚
 β””β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”˜       β””β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”˜               β””β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”˜
         β”‚                        β”‚                              β”‚
 β”Œβ”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”      β”Œβ”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”           β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”
 β”‚ Stress Sub-Agent β”‚      β”‚ Pollution Agent β”‚           β”‚ Evolution Monitorβ”‚
 β”‚ Focus Sub-Agent  β”‚      β”‚ Noise Agent     β”‚           β”‚ & Step Function β”‚
 β”‚ Fatigue Sub-Agentβ”‚      β”‚ Temp Agent      β”‚           β”‚ Orchestration   β”‚
 β””β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜      β””β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜           β””β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”˜
         β”‚                        β”‚                              β”‚
         β–Ό                        β–Ό                              β–Ό
 β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”       β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”               β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
 β”‚ QuickSight     β”‚       β”‚ S3 Knowledge  β”‚               β”‚ BioKnowledge  β”‚
 β”‚ Dashboard      β”‚       β”‚ Archive       β”‚               β”‚ Graph Viewer  β”‚
 β”‚ Real-time Viz  β”‚       β”‚ Versioning    β”‚               β”‚ Insight Map   β”‚
 β””β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”˜       β””β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”˜               β””β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”˜
         β”‚                        β”‚                              β”‚
         β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                       β–Ό                           β–Ό
              β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
              β”‚ 🌱 Bio-Intelligence β”‚    β”‚ 🧬 Cognitive Resilience  β”‚
              β”‚ Loop & Self-Evolve  β”‚    β”‚ Maps & Planetary Insightsβ”‚
              β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜    β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

3. Bio-Intelligence Loop

Click to expand Bio-Intelligence Loop πŸ”„
  1. Event Trigger: e.g., β€œReduce urban cognitive stress by 15%.”
  2. Task Decomposition: Bedrock Meta-Agent breaks goals into sub-tasks.
  3. Task Dispatch: AgentCore routes tasks to specialized agents (NeuroAgent, EnviroAgent, SocioAgent, EduAgent).
  4. Agent Reasoning & Learning:
    • SageMaker micro-models predict outcomes
    • Amazon Q retrieves prior knowledge
    • Strands SDK coordinates agent cooperation
  5. Autonomous Action: Nova Act SDK + Lambda triggers API actions, notifications, or interventions.
  6. Transformation: AWS Transform structures outputs into BioKnowledge Graph nodes.
  7. Observation & Evolution: QuickSight visualizes cognition growth; Step Functions redeploys agents automatically.

Outcome: The system evolves intelligence, not just executes code.


4. Agent Types

Click to expand Agent Types πŸ€–
Agent Role Function
🧠 MetaAgent Planner & Critic Breaks high-level goals, evaluates agents, suggests mutations
🧬 NeuroAgent Cognitive Monitoring Collects human emotion & mental load data, predicts cognitive stress trends
🌦 EnviroAgent Environmental Awareness Reads climate, pollution, sound, and urban sensor data
❀️ SocioAgent Emotional Intelligence Aggregates societal sentiment, wellness indices
πŸ’‘ EduAgent Knowledge Intervention Suggests educational or behavioral interventions

5. Use Case: Cognitive Planet Simulator

Click to expand Cognitive Planet Simulator 🌎
  • Build a planetary nervous system.
  • Agents analyze global biosignals (air 🌬️, sound πŸ”Š, emotion ❀️, neural data 🧠).
  • Generate Cognitive Resilience Maps πŸ—ΊοΈ, visualizing how environmental and mental factors co-regulate each other.
  • Provide actionable insights for urban planning, education, and social interventions.

6. Innovation Layer (WOW Factor)

Click to expand Innovation Layer 🌟
  1. Biofeedback Reflex Loop 🧠: Agents β€œfeel” accuracy & latency as biological stress β†’ self-optimize.
  2. Autonomous Rebirth πŸ”: Step Functions redeploy improved models automatically.
  3. Agent Empathy Network 🌐: Agents share confidence/energy states β†’ emergent cooperation.
  4. Human-in-the-Loop as DNA 🧬: Human feedback encoded as permanent mutations.
  5. Evolving Knowledge Genome πŸ’«: AWS Transform + S3 builds a continuously versioned graph of intelligence.

7. Demo Video Outline

Click to expand Demo Video Outline πŸŽ₯
  1. β€œWhat if AI could grow like life?”
  2. Bedrock delegating to agents.
  3. QuickSight dashboard visualizing cognition growth and evolution.
  4. : β€œIt didn’t just learn β€” it evolved.”

8. Repo Structure

Click to expand Repo Structure πŸ“
BioSynapse-Cloud/
β”‚
β”œβ”€ agents/
β”‚  β”œβ”€ neuro_agent/🧠
β”‚  β”‚   β”œβ”€ main.py
β”‚  β”‚   β”œβ”€ model.py
β”‚  β”‚   └─ utils.py
β”‚  β”œβ”€ enviro_agent/🌦
β”‚  β”‚   └─ ...
β”‚  β”œβ”€ socio_agent/❀️
β”‚  β”‚   └─ ...
β”‚  └─ edu_agent/πŸ’‘
β”‚      └─ ...
β”‚
β”œβ”€ core/
β”‚  β”œβ”€ meta_agent.py
β”‚  β”œβ”€ agent_dispatcher.py
β”‚  └─ critic.py
β”‚
β”œβ”€ data/
β”‚  β”œβ”€ raw/
β”‚  β”œβ”€ processed/
β”‚  └─ knowledge_graph/
β”‚
β”œβ”€ scripts/
β”‚  β”œβ”€ deploy_agents.sh
β”‚  └─ retrain_models.sh
β”‚
β”œβ”€ dashboards/
β”‚  └─ quicksight_templates/
β”‚
β”œβ”€ tests/
β”‚  └─ unit_tests/
β”‚
β”œβ”€ README.md
└─ requirements.txt
Click to expand ASCII Architecture πŸ–₯️
                           β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
                           β”‚      Event Trigger 🚨      β”‚
                           β”‚  "Reduce urban cognitive  β”‚
                           β”‚       stress by 15%"      β”‚
                           β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                                        β”‚
                                        β–Ό
                           β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
                           β”‚      Bedrock Meta-Agent   β”‚
                           β”‚  (Task Decomposition &    β”‚
                           β”‚       Reflection)         β”‚
                           β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                                        β”‚
      β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
      β”‚                                 β”‚                                 β”‚
      β–Ό                                 β–Ό                                 β–Ό
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”                 β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”                 β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚  NeuroAgent 🧠 β”‚                 β”‚ EnviroAgent 🌦 β”‚                 β”‚ SocioAgent ❀️ β”‚
β”‚  SageMaker     β”‚                 β”‚ SageMaker      β”‚                 β”‚ SageMaker     β”‚
β”‚  Cognitive     β”‚                 β”‚ Environmental  β”‚                 β”‚ Emotional     β”‚
β”‚  Monitoring    β”‚                 β”‚ Awareness      β”‚                 β”‚ Intelligence  β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”˜                 β””β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”˜                 β””β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”˜
        β”‚                                 β”‚                                 β”‚
        β–Ό                                 β–Ό                                 β–Ό
 β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”      β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”      β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
 β”‚    Strands SDK 🌐        β”‚      β”‚    Strands SDK 🌐        β”‚      β”‚    Strands SDK 🌐        β”‚
 β”‚  Agent Coordination      β”‚      β”‚  Agent Coordination      β”‚      β”‚  Agent Coordination      β”‚
 β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜      β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜      β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
             β”‚                                 β”‚                                 β”‚
             β–Ό                                 β–Ό                                 β–Ό
        β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”                 β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”                 β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
        β”‚ Nova Act SDK βš‘β”‚                 β”‚ Nova Act SDK βš‘β”‚                 β”‚ Nova Act SDK βš‘β”‚
        β”‚ Autonomous    β”‚                 β”‚ Autonomous    β”‚                 β”‚ Autonomous    β”‚
        β”‚ Actions       β”‚                 β”‚ Actions       β”‚                 β”‚ Actions       β”‚
        β””β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”˜                 β””β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”˜                 β””β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”˜
                β”‚                                 β”‚                                 β”‚
                β–Ό                                 β–Ό                                 β–Ό
         β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
         β”‚  AWS Transform + S3 🧬    β”‚    β”‚  Amazon Q + S3 πŸ’Ύ         β”‚
         β”‚  BioKnowledge Graph       β”‚    β”‚  Long-Term Memory        β”‚
         β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜    β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
                       β”‚                               β”‚
                       β–Ό                               β–Ό
                  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”             β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
                  β”‚ Step Functions β”‚             β”‚ QuickSight πŸ” β”‚
                  β”‚ Neural Growth  β”‚             β”‚ Sensory Cortexβ”‚
                  β”‚ Lifecycle Mgmt β”‚             β”‚ Visualization β”‚
                  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜             β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜



About

No description, website, or topics provided.

Resources

License

Stars

1 star

Watchers

0 watching

Forks

Releases

No releases published

Packages

 
 
 

Contributors