Manus is a new agentic AI platform that has gained significant attention, and now a $500M on their last investment round.

Unlike specialized chatbots, it aims to be a true general-purpose AI agent capable of handling diverse tasks from travel planning to financial analysis.

Manus operates as a multi-agent system.

Rather than using a single neural network, it functions like an executive that coordinates multiple sub-agents across a shared action space.

A planner agent first creates a master plan by breaking down tasks into manageable subtasks, which are then assigned to specialized sub-agents.

These sub-agents can access 50+ tools to automate web navigation, run code securely, and extract information from files.

Once subtasks are completed, an executor agent combines the outputs into a final synthesized result.

Technically, Manus is powered by a "dynamic task decomposition algorithm" and uses a technique called "chain of thought injection" that enables agents to reflect and update plans.

It's built on Anthropic's Claude 3.7 Sonnet and integrates with many tools and this number will grow as time goes on.

It's not a perfect tool yet, but all you need to do is use it once, and you'll understand where the future of AI is going.

And it's also not far fetched to say that general AI agents, paired with computer use agents could lead to the end of most remote jobs.