DeepMiner-FA Multi-Agent Collaboration Framework

Orchestrating professional models to work together, providing integrated solutions

Core Positioning and Value

DeepMiner-FA is not just a foundation large model, but a framework coordinating multiple professional agents working together

Multi-Agent Collaboration Framework

FA is a framework that coordinates multiple professional agents working together, capable of dynamically combining different specialized models based on task requirements.

Task Allocation and Resource Scheduling

Provides task allocation, resource scheduling, and result integration capabilities between agents, ensuring efficient collaboration among specialized models.

Enterprise Data Analysis Foundation

Provides a solid foundation for enterprise data analysis and decision-making, supporting multi-dimensional analysis in complex business scenarios.

Seamless Collaboration Solutions

Enables seamless collaboration among multiple specialized models, forming complete solutions and avoiding the limitations of a single large model.

Technical Architecture

DeepMiner-FA adopts a modular design, ensuring efficient and reliable multi-agent collaboration

Technical Architecture

Multi-agent Scheduling Engine

Dynamically assigns tasks to the most suitable professional models, ensuring each task is handled by the model that excels at it.

Central Coordination System

Manages communication and resource sharing between agents, ensuring smooth information flow and efficient collaboration.

Task Planning Engine

Autonomously decomposes complex tasks, forms execution plans, and ensures tasks are completed efficiently.

Memory & Context Management

Maintains global consistency and historical information, ensuring continuity in the multi-agent collaboration process.

Enterprise Knowledge Integration

Integrates enterprise proprietary knowledge and public data, providing a rich knowledge foundation for agents.

Core Capabilities

DeepMiner-FA provides comprehensive multi-agent collaboration capabilities, enabling efficient processing of complex tasks

Agent Collaboration

Orchestrates multiple professional models to jointly solve complex problems, achieving capability complementation and collaborative enhancement.

Task Decomposition & Reconstruction

Breaks down large tasks and assigns them to specialized models, then integrates the results from each part to form a complete solution.

Result Integration & Optimization

Merges outputs from multiple agents into coherent results, ensuring consistency and high quality.

Resource Optimization

Dynamically adjusts computing resources according to task requirements, ensuring efficient system operation.

Security & Compliance

Ensures data security during multi-agent collaboration, complying with enterprise regulatory requirements.

Model Coordination Relationship

DeepMiner-FA acts as the core coordinator, managing collaboration and information flow between specialized models

Model Coordination Relationship

Professional Capability Integration

Receives professional capabilities provided by Mano and Cito, integrates and coordinates them to form complete solutions.

Intelligent Task Allocation

Based on task characteristics, intelligently assigns tasks to the most suitable specialized models, ensuring processing efficiency and quality.

Data Flow Management

Manages data flow and information sharing between models, ensuring data consistency throughout the collaboration process.

Seamless Collaboration Implementation

As the core engine of the enterprise version, enables seamless collaboration between specialized models, providing integrated solutions.

Technical Advantages

DeepMiner-FA has significant technical advantages compared to a single large model

High Flexibility

Can dynamically combine different specialized models according to task requirements, achieving precise capability matching.

Extensible Architecture

Easily integrates new specialized models and capabilities, adapting to constantly changing business requirements.

Consistent Experience

Provides a unified interface to access various professional capabilities, simplifying the user experience.

Resource Efficiency

Avoids redundancy of a single large model, achieves precise capability matching, and reduces computational resource consumption.

Continuous Evolution

Each specialized model can be upgraded independently without affecting the overall framework, ensuring continuous system optimization.

Application Scenarios

DeepMiner-FA is suitable for various complex business scenarios, leveraging the advantages of multi-agent collaboration

Complex Business Analysis

Calls upon multiple specialized models to collaboratively analyze complex business data, extracting deep insights.

Cross-domain Decision Support

Integrates insights from specialized models across different domains, supporting cross-departmental and cross-domain decision making.

End-to-End Workflow Automation

Orchestrates multiple agents to complete entire processes, achieving end-to-end automation of business workflows.

Knowledge Collaboration & Integration

Establishes connections between different data sources and models, forming a unified knowledge network.

Learn More

Explore how DeepMiner-FA can provide multi-agent collaboration solutions for your enterprise