How the Major AI Agents Stack Up

The AI agent space has exploded, and choosing between platforms means understanding what each one actually does well - and where each falls short.

Manus takes the cloud VM approach. It spins up a virtual machine, installs whatever it needs, and runs tasks in an isolated environment. Great for one-off research or code generation. The downside is that every session starts from scratch. It has no memory of what you did yesterday, what files you were working on, or what preferences you've expressed before.

Perplexity excels at search-augmented tasks. If your workflow is "find information and synthesize it," Perplexity is hard to beat. But it's fundamentally a search tool with agent capabilities bolted on, not a desktop agent. It can't click buttons in your apps or manage files on your machine.

Claude CoWork brings Claude's reasoning to your desktop with screen sharing. It can see what you're doing and help in context. The interaction model is collaborative - you work while it watches and assists. But it still runs through the cloud, meaning your screen data leaves your machine.

OpenClaw focuses on open-source desktop control with accessibility APIs. It's closer to what a local agent should be, but the ecosystem is still young and the memory system is basic.

The Missing Piece - Persistent Memory

The pattern across all of these is clear. They start fresh every session. None of them build a local knowledge graph that remembers your projects, your preferences, your common workflows. They're smart tools, but they're not personal agents.

A truly useful agent should know that when you say "deploy the app," you mean the specific project you've been working on, using the deployment script you always use, to the environment you prefer. That requires persistent, local memory - something most platforms haven't prioritized yet.

Fazm is an open source macOS AI agent. Open source on GitHub.