Which AI tool should my company actually start with?

An AI coding agent built by OpenAI. It runs in a terminal (the command-line screen) or its own app, and handles everything from writing code to running it.

Suits companies already using OpenAI products, or people who'd rather watch their workflow in an app screen than a terminal.

An AI coding agent from Anthropic, the company behind Claude. It runs in a terminal, and when you give it instructions like a conversation, it carries out code writing, file edits, and command execution in sequence.

Fits companies already using Claude at work, or teams looking for an agent that handles multiple steps from a single instruction.

An AI agent tool made by Nous Research. It acts as an agent harness (the execution shell that lets AI read and write files and run commands), taking instructions and carrying them out directly.

Worth comparing alongside other options like Codex, Claude Code, and OpenClaw for a team introducing an agent harness for the first time.

An agent harness tool (the execution shell that lets AI read and write files and run commands) that takes code or task instructions and carries them out directly.

A tool worth comparing side by side with Hermes Agent when choosing an agent harness.

An agent development environment (ADE, a tool that manages everything from writing code to running it in one screen) for AI coding agents. It lets you watch and manage the work an agent is doing on screen.

Suits people who'd rather check an agent's work on screen than type terminal commands, or teams comparing it against other ADEs like Superset and Emdash.

An agent development environment (ADE, a tool that manages everything from writing code to running it in one screen) for AI coding agents. You hand tasks to an agent and manage progress in one screen.

Worth comparing alongside Orca and Emdash for a team that wants to manage multiple agent tasks in one place.

An agent development environment (ADE, a tool that manages everything from writing code to running it in one screen) for AI coding agents. It helps you check and manage an agent's work on screen.

A tool worth comparing alongside Orca and Superset for a team introducing an ADE (agent development environment) for the first time.

Paseo is a tool that gives you unified control over agents running across multiple computers and multiple AI providers, all from one screen. Rather than running agents itself, it works more like a control panel that gathers and displays agent work scattered across many machines.

It suits teams running coding agents across multiple servers or computers who want to see and manage them all from a single screen.

A tool that serves the same role as paseo. It lets you check and control a running AI agent session remotely.

Like paseo, suits people who don't want to miss agent progress while away. Since both serve the same role, try each and pick whichever screen feels more comfortable.

Gas City is the successor to a system once called "Gas Town," where multiple agents worked together under fixed roles like Mayor, Witness, Refinery, and Polecat. That structure has now been generalized into a broader platform. Instead of talking to an agent one task at a time, you define the work process itself as a fixed formula, and multiple agent teams execute that formula automatically, more like a software factory.

It suits large-scale workflows where you want multiple agents to repeat a defined process and get the same reproducible result every time. If you're adopting it new, it's better to look at the current Gas City structure rather than memorizing the old Gas Town role names.

Paperclip manages multiple AI agents like company employees, acting as a control plane for an AI organization. On the surface it looks like a task manager, but internally it handles company goals, an org chart, roles for each agent, a reporting hierarchy, and budgets.

It suits teams that have gone beyond running one or two agents and want to structure many agents like an organization, managing goals, budgets, and reporting lines together.

Buzz is a team collaboration space built so people and AI agents work together in the same channel. You can self-host it on your own servers, and agents are treated as full workspace members rather than bots bolted on. Messages, workflow steps, review approvals, and Git events are all recorded in a single log.

It suits teams that want people and AI agents to work together inside a familiar messenger structure of channels, threads, and DMs.

A tool that lets an AI agent open a browser (an internet window) directly, click, type, and read what's on the screen. Instead of a person operating it step by step, the agent navigates websites on its own to get the task done.

Suits people who want to hand off sites that require logging in, or web tasks with repetitive clicking and typing, to an AI. Good when you'd rather direct the agent by watching the actual screen than write code.

Aside is an AI-native browser with an agent built directly into it. The agent uses your logged-in sites directly to handle real web tasks like sending messages, making payments, and operating internal tools. Passwords are stored in its own password manager, Aside Vault, and are autofilled without ever being exposed to the AI model.

It suits situations where you want to hand off repetitive website tasks entirely to an agent but are concerned about password exposure or mistakes on sensitive actions. Sensitive actions require human approval before they proceed.

A tool made by Microsoft that lets an AI agent open a browser, read the page's structure, and carry out actions like clicking or typing accurately. It's built on MCP (a common standard that connects different AI programs together), so it can be connected to other AI tools.

Suits people who want AI handling web tasks where accurate, stable behavior matters. Also suits those already using several AI tools together who need something that connects with the rest.

An open-source tool for building AI agents that "click through browsers for you." The AI reads the screen and decides on its own when to click, type, or scroll.

Suits developers or automation staff who want to automate repetitive web tasks themselves, like gathering data from multiple sites or auto-filling forms. It's a code-based tool, so it's hard for non-developers to set up alone.

A tool that runs browsers in the cloud so AI agents can operate websites. Browserbase provides the remote browser environment, and Stagehand turns plain-language instructions like "click this button" into actual clicks and inputs.

Suits dev teams running browser tasks at scale (dozens to hundreds at once) or operating browser automation reliably on a server. Since actions can be given in plain language, you can build a flow without writing detailed code.

HyperFrames is an open-source tool that turns HTML screens into video. You describe what you want in a prompt, a coding agent builds a moving screen (motion graphics) in HTML, CSS, and JavaScript, and that gets turned into a video file.

It suits development environments that already use a coding agent and want that same agent to produce motion graphics video directly.

A framework for making videos with React, the code used to build web screens. You write scenes and animations in code, and it renders them out as an actual video file.

Suits teams that need to mass-produce videos in the same format with only the data changed, like per-product ad videos or automatically generated report videos. You need a developer who can work with code to use it.

A tool that lets you run HeyGen, the service that creates videos of a talking AI avatar, from the command line instead of the web dashboard.

Suits teams that need to automatically generate multiple avatar videos in the same format, like product intros or internal training. Being command-based, it's easy for developers or automation staff to work with.

Instead of just generating a single short clip, it's a professional creative platform that connects the entire production process into one workflow, from writing the script, through the storyboard (a layout of scenes) and keyframes (key scene images), to the finished piece. Multiple people can work together in the cloud.

It suits production teams making films or ads who need to keep the brand's or project's tone and style consistent from start to finish across many scenes.

Figma's official server for connecting the design tool Figma with AI. It lets AI read a Figma design file directly, then write code matching that design or pull design details from it.

Suits dev teams who design in Figma and need to turn it into real screen code, or anyone who wants to close the gap between design and development.

A tool that lets AI operate Blender, the 3D modeling program, on your behalf. Give it instructions in words, and the AI creates and edits the 3D scene directly.

Suits teams that need 3D content, like product mockups, animation, or rendered images, but find Blender hard to operate directly. Use it when you want to speed up 3D work by giving instructions in words.

It's a workspace that keeps your agent's files and code stored in the cloud and handles heavy computing tasks, like 3D rendering or video conversion, that need a lot of processing power. You can connect it to the agent you already use without changing anything.

It suits people who want to hand off computing-heavy tasks, like video editing or 3D rendering, to an agent and keep the results stored so they don't disappear.