Multi-Agent Research System

This project implements a sophisticated multi-agent research system based on the concepts described in Anthropic's article: Building a Multi-Agent Research System. The system leverages the power of coordinated AI agents to handle deep and complex research queries that require multiple perspectives and iterative investigation.

Overview

The system is built around a Lead Research Agent that orchestrates the entire research process. This lead agent has access to a powerful deployAgent tool that can dynamically create specialized Research Subagents to handle specific aspects of complex queries. The lead agent can deploy multiple subagents simultaneously and can choose to deploy additional subagents after each iteration based on the evolving needs of the research task.

This multi-agent architecture enables the system to:

• Break down complex queries into manageable sub-tasks
• Perform parallel research across multiple domains
• Iterate and refine research based on intermediate findings
• Synthesize results from multiple specialized agents

Architecture

System Components

┌─────────────────────────────────────────────────────────────────┐
│                          Client Request                          │
└─────────────────────┬───────────────────┬───────────────────────┘
                     │                   │
              ┌──────▼──────┐     ┌──────▼──────┐
              │  MCP Tool   │     │ REST API    │
              │"DeepResearch"│     │ /search     │
              └──────┬──────┘     └──────┬──────┘
                     │                   │
                     └──────┬────────────┘
                            │
              ┌─────────────▼─────────────┐
              │    Lead Research Agent    │
              │  ┌─────────────────────┐  │
              │  │   deployAgent Tool  │  │
              │  └─────────────────────┘  │
              │  ┌─────────────────────┐  │
              │  │   completeTask      │  │
              │  └─────────────────────┘  │
              └─────────────┬─────────────┘
                           │
          ┌────────────────┼────────────────┐
          │                │                │
    ┌─────▼─────┐   ┌─────▼─────┐   ┌─────▼─────┐
    │ Subagent  │   │ Subagent  │   │ Subagent  │
    │     1     │   │     2     │   │     N     │
    │ ┌───────┐ │   │ ┌───────┐ │   │ ┌───────┐ │
    │ │Search │ │   │ │Search │ │   │ │Search │ │
    │ └───────┘ │   │ └───────┘ │   │ └───────┘ │
    │ ┌───────┐ │   │ ┌───────┐ │   │ ┌───────┐ │
    │ │ Fetch │ │   │ │ Fetch │ │   │ │ Fetch │ │
    │ └───────┘ │   │ └───────┘ │   │ └───────┘ │
    └───────────┘   └───────────┘   └───────────┘
          │               │               │
          └───────────────┼───────────────┘
                          │
              ┌───────────▼───────────┐
              │   Sonar Search        │
              │   Manager             │
              │  ┌─────────────────┐  │
              │  │  Web Search     │  │
              │  │  Content Fetch  │  │
              │  └─────────────────┘  │
              └───────────────────────┘

Lead Research Agent

The Lead Research Agent is the orchestrator of the entire system. It:

• Analyzes incoming complex queries and determines the best approach
• Deploys multiple subagents using the deployAgent tool
• Coordinates parallel research activities
• Synthesizes results from all subagents into comprehensive answers
• Iterates by deploying additional subagents based on intermediate findings
• Manages conversation history and compresses it when needed (>20 messages)

Key Features:

• Uses Gemini Pro model for advanced reasoning
• Supports up to 50 iterations for complex tasks
• Parallel tool execution capabilities
• Dynamic subagent deployment and management

Research Subagents

Research Subagents

... View full README on GitHub