t20

# T20 Multi-Agent System

[🧮[MTC|LCP](https://ai.violass.club/mtc-lcp/)]
[🪬[Demo](./new-logs)]
[📖[Docs](https://ai.violass.club/t20)]

**T20 is a sophisticated, multi-agent framework designed to tackle complex tasks through collaborative AI. It empowers you to solve complex problems by assembling a team of specialized AI agents that work together, orchestrated by a central planner.**

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## Philosophy

The T20 system is built on the idea of **Cognitive Cadence**: a structured, iterative process where AI agents with different "cognitive roles" collaborate to build knowledge and produce results. This approach mirrors a human team, where planners, researchers, and specialists work in a coordinated fashion. Our goal is to create a system that is not only powerful but also transparent and traceable, allowing you to understand and debug the entire problem-solving process.

## How It Works

T20 employs an orchestrator-delegate model. The workflow is simple yet powerful:

1.  **Goal Definition**: You provide a high-level goal (e.g., "Create a landing page for a new app").
2.  **Dynamic Planning**: A lead `Orchestrator` agent analyzes the goal and generates a step-by-step plan.
3.  **Task Delegation**: The `Orchestrator` assigns each task to the most suitable specialist agent.
4.  **Iterative Execution**: Agents execute their tasks, building upon each other's work.
5.  **Transparent Logging**: Every step, prompt, and output is logged for full traceability.

Here is a simplified view of the process:

```
[User Goal] -> [Orchestrator] -> [Step 1: Agent A] -> [Step 2: Agent B] -> [Final Output]
                      |
                  [Plan.json]
```

## The Team

The system comes with a diverse team of pre-configured agents, each with a specific role. Agents are defined in simple YAML files in the `agents/` directory.

| Name | Role | Goal |
| :--- | :--- | :--- |
| aitutor | AI Tutor | |
| Aurora | Designer | Generate aesthetic layouts, color palettes, typography, and U