Manus exemplifies these trade-offs well, as its multi-agent orchestration significantly reduces per-task costs to around $2, compared to competitors like OpenAI's Deep Research.

Manus is being called the most impressive AI tool ever tried, showcasing its capabilities as a sophisticated computer using AI, unlike its predecessors that were merely specialized chatbots.

Manus utilizes a technique called chain of thought injection, allowing agents to actively reflect and update their plans, enhancing stability and reasoning capabilities during complex tasks.

Manus employs a planner agent that creates a master plan by breaking tasks into manageable subtasks, ensuring precise execution and efficient task management.

Manus can accomplish a wide range of real-world tasks, excelling in creating travel itineraries, detailed financial analyses, and educational content, while also assisting with database compilation and high-quality presentations.

Usable AI agents are finally here, with platforms like OpenAI's Deep Research and Google's tools leading the way, and now Manus has joined the competition as a brand new general-purpose AI agent that has taken the world by storm.

However, Manus faces challenges with coordination among specialized agents as tasks scale in complexity, which can hinder its effectiveness.

The executor agent in Manus combines outputs from completed subtasks into a final synthesized output for the user, showcasing its sophisticated dynamic task decomposition algorithm.

To measure Manus' capabilities, the Gaia benchmark tests AI agents on reasoning, multimodal handling, web browsing, and tool proficiency, with humans scoring about 92% and OpenAI's deep research scoring around 74%. Manus achieved an impressive benchmark score of 86.5% on the Gaia scoring system, just a few points shy of the average human performance.