Manus Wide Research: 100+agent parallel research system Manus is the agent, achieving the most advanced performance in the GAIA benchmark test.

Manus Wide Research: 100+agent parallel research system Manus is the agent, achieving the most advanced performance in the GAIA benchmark test. Its Wide Research architecture represents the other extreme of agent system design: instead of in-depth research by a single agent, it generates 100+ parallel agents to handle large-scale, high-volume research tasks. Innovation in Parallel Processing Protocols The core innovation of Wide Research is the system-level parallel agent coordination mechanism. Unlike deep research methods that use a single agent for intensive investigation, each sub-agent of Wide Research is a complete Manus instance. Specific steps:

Task decomposition: The main Agent analyzes the user request and decomposes it into independent subtasks (e.g., "Research Company #1", "Research Company #2", etc.)
Parallel Agent Deployment: Each subtask is assigned to a dedicated Agent with a completely new context window
Independent processing: Agents work simultaneously, each conducting thorough research without competing for context space
Result synthesis: The master agent collects all completed subtasks and assembles them into the requested format (table, report, dataset, etc.) Usage scenario demonstration: Explore Fortune 500 companies across hundreds of dimensions, collect comprehensive data to compare MBA projects, analyze GenAI tools across multiple criteria, and generate creative tasks with 50+ design variants simultaneously. Full content:

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