CUGA Architecture

CUGA (ConfigUrable Generalist Agent) is an advanced multi-agent orchestration system designed to execute tasks reliably across web browsers and API environments. The system analyzes user intents, decomposes complex tasks, and coordinates specialized agents to deliver consistent, dependable results.

The architecture follows a modular, graph-like structure that ensures task reliability through:

Redundant execution paths for critical operations
Error detection and recovery mechanisms
Human-in-the-loop validation for complex decisions
State persistence to maintain context across sessions

Reliable Task Execution Process

Intent Capture & Validation – User intent is captured and validated to ensure clear, actionable requirements.
Task Decomposition & Risk Assessment – Complex tasks are broken down into atomic operations with risk analysis for each step.
Execution Strategy Selection – The system determines the optimal execution path (API, Browser, or Hybrid) based on task requirements and reliability factors.
Parallel Execution with Monitoring – Tasks are executed with real-time monitoring and automatic error detection.
Validation & Quality Assurance – Each step is validated against expected outcomes with automatic retry mechanisms.
Human Oversight Integration – Complex decisions trigger human review to ensure accuracy and safety.
Result Synthesis & Persistence – Successful outcomes are synthesized and stored for future reference and learning.

Node Descriptions

Core Flow

Chat (User Input) – Entry point for user intent.
Task Analyzer – Interprets the user request and extracts the core problem.
Task Decomposition – Breaks down the request into smaller subtasks.
Plan Controller – Directs subtasks toward the appropriate agent or module.
Final Answer – Synthesizes results for the user.
Save & Reuse – Stores successful trajectories and solutions for reuse.

Human-in-the-Loop (HITL)

Suggest Human Action – System proposes a point for human input.
Wait for Response – Execution pauses until feedback is received, then resumes.

API Agent

Planner – Organizes API workflows.
Shortlister – Filters and ranks possible API calls or methods.
Code Planner – Prepares structured code to call APIs.
Coder – Generates executable code.
Reflection – Evaluates outputs, detects errors, and loops back to the planner.

Browser Agent

Browser Planner – Outlines browser automation steps (navigation, search, scraping).
Action – Executes the browser steps (clicking, filling forms, navigation).
QA (Question Answering) – Extracts structured answers or summaries from the browser’s current state, enabling the system to respond directly to user queries about web content.

Reliability Principles

Fault Tolerance – Multiple execution paths and automatic error recovery ensure tasks complete successfully.
Validation at Every Step – Each operation is validated before proceeding to maintain data integrity.
Graceful Degradation – System continues operating even when individual components fail.
Audit Trail – Complete logging of all actions for debugging and compliance.
Human Oversight – Critical decisions require human validation to prevent errors.
State Recovery – System can resume from any point if interrupted.
Performance Monitoring – Real-time metrics ensure optimal execution across web and API environments.

👉 Next step could be to include an inline Mermaid diagram inside the README, so that the architecture is rendered directly on GitHub instead of just in the SVG.

Want me to add that Mermaid diagram block so the README is fully self-contained?

CUGA Architecture

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