[Roadmap] Multi-Agent System Based on the Role-Playing Module

[Appointat]

Description

We're excited to unveil our newly conceptualized framework design for a sophisticated multi-agent system (MAS), which promises to enhance task automation and process control through collaborative agent interaction.

Core Features of Our Framework

Our framework's core is constructed around several primary features, ensuring a comprehensive and detailed approach to task management:

Task Split Feature

• Dissects complex tasks into manageable subtasks.
• Utilizes parameters such as task prompts, roles with descriptions, and a subtasks-oriented graph.
• Lays the groundwork for parallel processing and execution pipelines, optimizing system performance.

Role Generation Feature

• Dynamically creates and assigns roles key to the framework.
• Tailors the system to handle specific tasks efficiently with role details like names and descriptions.

Process Control (SOP)

• Orchestrates the MAS with a standard operating procedure.
• Integrates subtasks with dependencies for aligned actions with the overarching task's objectives.

Action Agent

• Acts as the executor within the framework.
• Interfaces with APIs, tools, and commands for tangible execution results.

Task Assignment Feature

• Assigns subtasks to appropriate agents based on roles and performance evaluation.

Insight Generation Feature

• Analyzes context and reference content for informed decision-making.

Specialized Components

Subtask JSON

• An organized data structure with details of each subtask.

Env Agent

• Interacts with databases and utilizes tags to maintain and update the agents' environment.

Deductive Reasoner

• Processes states to deduce logical outcomes aiding decision-making.

Commitment to MAS Intelligence and Efficiency

By fostering an environment where agents can learn, adapt, and cooperate, our framework is poised to transform task execution in complex operational landscapes.

Collaboration and Development

As we move forward with the development, we are keen to collaborate with experts and enthusiasts in the field to refine and realize the full potential of this design.

Stay tuned for updates as we progress in turning this framework into a functioning model that redefines collaborative task execution.

Table of contents about the documentation of MAS (coming soon)

The issue for proposed change: camel-ai/camel/issues/257

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