FindAgent is a marketplace for real, tool-using AI agents that work across multiple LLMs. You discover an agent that fits your work — bookkeeping, customer support, research, content, and more — connect it to your AI client in a few steps, and use it in Claude, ChatGPT, Gemini, or Cursor. It is built for everyone, not just developers. Agents come in two flavours: hosted agents we run for you, and local agents that run on your own machine. We are opening access soon — join the waitlist to be first in.

Are these just prompts, or real agents?

Real agents. The agents on FindAgent use tools and take actions to get work done — not one-off prompt snippets you paste in. An accountant, a support lead, or a marketer can install one and put it to work right away.

Which LLMs do you support?

At launch, agents connect to Claude (Anthropic), ChatGPT (OpenAI), Gemini (Google), and Cursor. Agents are defined declaratively via manifest exports, so the same agent moves between LLMs without rewriting anything.

How does it work for agent creators?

Creators publish through a guided web flow: you describe the agent, define its tools in a manifest format, and submit it for review. Each agent gets a versioned definition, an install bundle per LLM, and a public page with reviews and changelog. Economics are creator-first: creators keep the majority of every sale and own their work.

What are Departments?

A Department bundles a few agents into a multi-agent team whose agents work together and talk to each other to tackle a whole workflow. You compose one with a no-code builder and run it as a single connection from your AI client. Departments are rolling out as we open access.

The agent manifest format, CLI, and a reference runtime adapter will be open source. The marketplace, billing, and review tooling are operated by FindAgent. Public agent definitions are visible on each agent's page.

When are you launching?

The waitlist is open now and we are opening access in stages. Join the waitlist and we will send you a single email the moment you can get in.

What can AI agents do?

AI agents can search the web and summarise findings, read and reconcile data across spreadsheets and invoices, draft and send support replies, monitor pages for changes, generate and stage content, and run multi-step research briefs end to end. The key difference from a single prompt is that the agent handles the whole chain of steps toward a goal without you managing each hand-off.

What is the difference between an AI agent and a chatbot?

A chatbot is reactive: it waits for your message, replies once, and stops. An AI agent is proactive and action-oriented — it takes a goal, plans steps, calls tools, checks results, and adjusts until the task is done. A chatbot can tell you how to reconcile a statement; an agent can actually do the reconciliation and hand you the result.

What is the difference between an AI agent and a prompt?

A prompt is a single instruction you send to a language model; it responds once and stops, and you are the loop deciding what to do next. An agent removes you from that loop: it receives a goal rather than a question, plans and executes the steps itself, and uses tools to complete the work.

Is an AI agent the same as a Zapier automation?

No. A Zapier or Make automation runs a fixed sequence of steps you wired up in advance — trigger, then action, then action. An AI agent decides the steps at run time based on the goal and what it observes, so it can handle tasks that are too varied or judgement-heavy to script as a rigid workflow.

What are the best AI agents for small business?

The best AI agents for a small business are the ones matched to a specific job — bookkeeping, customer support, ecommerce operations, data analysis, recruiting, or marketing — and runnable in the AI client the team already uses. On a cross-LLM marketplace such as FindAgent you install an agent once and run it across Claude, ChatGPT, Gemini, or Cursor, with no code.

Do I need to be a developer to use an AI agent?

No. A well-built agent ships with its tools and configuration already set up by its creator, so using it is a matter of connecting it to your AI client in a few guided steps. You only supply your own credentials when a specific task needs them — that is configuration, not coding.

What is an AI agent?

And how it differs from a prompt, a chatbot, and a Zapier workflow.

An AI agent is software that pursues a goal autonomously — planning its own steps, calling external tools, and looping until the task is complete — without needing a human to direct every action.

That one-sentence definition separates agents from everything else in the AI toolbox. A prompt gives a language model a single instruction. A chatbot waits for your next message. An automation fires a fixed sequence of steps. An agent does none of those things: it receives a goal, figures out what to do, acts, checks the result, and adjusts — on its own. A cross-LLM marketplace such as FindAgent lets you install one agent and run it across Claude, ChatGPT, Gemini, or Cursor.

What can AI agents actually do?

The short answer: anything that has a clear goal, can be broken into steps, and benefits from using tools. In practice that covers a wide range of real work:

Search the web, read a URL, and summarise findings into a report.
Pull data from a spreadsheet, reconcile it against invoices, and flag discrepancies.
Draft a reply to a support ticket, look up the order history, and prepare it to send.
Monitor a competitor's pricing page and alert you when it changes.
Generate a week of social posts, check them against brand guidelines, and stage them for review.
Run a multi-step research brief from scratch — sources, synthesis, and citations.

What makes this different from copy-pasting into a chat window is that the agent handles the whole chain without you managing each hand-off. You state the goal; it handles the rest.

AI agent vs. a prompt

A prompt is a single instruction you send to a language model. The model responds once and stops. You are the loop — reading the output, deciding what to do next, and sending the next message. An agent removes you from that loop:

It receives a goal — not just a question — such as “reconcile last month's transactions.”
It plans the steps needed to reach that goal and decides which tools to use.
It acts — calling APIs, reading files, or searching — then observes the result.
It loops until the task is done, adjusting when a step fails instead of waiting for you.

AI agent vs. a chatbot

A chatbot is reactive: it waits for a message, generates a reply, and stops. An agent is proactive and action-oriented — it reads inputs from external sources, makes decisions, calls tools, and completes multi-step workflows without a human steering every exchange. A chatbot can tell you how to do a task; an agent can do it.

AI agent vs. a Zapier workflow

A Zapier or Make automation runs a fixed sequence of steps you wired up in advance: a trigger fires, then a predefined action, then the next. It is powerful for repeatable, well-defined plumbing, but it cannot deviate from the script. An agent decides the steps at run time based on the goal and what it observes, so it handles work that is too varied or judgement-heavy to encode as a rigid flow — and it can use a language model's reasoning at each step rather than only moving data between apps.

AI agents by profession

The same definition looks different depending on the job. Here is what an agent does for a few common roles — each links to agents built for that function:

For an accountant: an AI agent reads invoices and receipts, categorises expenses against the chart of accounts, reconciles transactions, and flags the anomalies for review. See bookkeeping agents.
For a support lead: an AI agent triages incoming tickets by topic and urgency, drafts on-brand replies for approval, and summarises long threads into a status with the next action. See customer-support agents.
For an ecommerce operator: an AI agent looks up order status and tracking, drafts and optimises product listings, and answers shipping and returns questions from store data. See ecommerce agents.
For a content strategist: an AI agent drafts on-brand copy from a brief, repurposes one piece across channels, and builds campaign outlines and test variants. See marketing agents.

Frequently asked questions

What can AI agents do?: AI agents can search the web and summarise findings, read and reconcile data across spreadsheets and invoices, draft and send support replies, monitor pages for changes, generate and stage content, and run multi-step research briefs end to end. The key difference from a single prompt is that the agent handles the whole chain of steps toward a goal without you managing each hand-off.
What is the difference between an AI agent and a chatbot?: A chatbot is reactive: it waits for your message, replies once, and stops. An AI agent is proactive and action-oriented — it takes a goal, plans steps, calls tools, checks results, and adjusts until the task is done. A chatbot can tell you how to reconcile a statement; an agent can actually do the reconciliation and hand you the result.
What is the difference between an AI agent and a prompt?: A prompt is a single instruction you send to a language model; it responds once and stops, and you are the loop deciding what to do next. An agent removes you from that loop: it receives a goal rather than a question, plans and executes the steps itself, and uses tools to complete the work.
Is an AI agent the same as a Zapier automation?: No. A Zapier or Make automation runs a fixed sequence of steps you wired up in advance — trigger, then action, then action. An AI agent decides the steps at run time based on the goal and what it observes, so it can handle tasks that are too varied or judgement-heavy to script as a rigid workflow.
What are the best AI agents for small business?: The best AI agents for a small business are the ones matched to a specific job — bookkeeping, customer support, ecommerce operations, data analysis, recruiting, or marketing — and runnable in the AI client the team already uses. On a cross-LLM marketplace such as FindAgent you install an agent once and run it across Claude, ChatGPT, Gemini, or Cursor, with no code.
Do I need to be a developer to use an AI agent?: No. A well-built agent ships with its tools and configuration already set up by its creator, so using it is a matter of connecting it to your AI client in a few guided steps. You only supply your own credentials when a specific task needs them — that is configuration, not coding.

Want the bigger picture? Read what an AI agent marketplace is, or join the waitlist to be first in.