AAgent.ai

Agent.ai is an open marketplace and professional network for AI agents, started by HubSpot co-founder Dharmesh Shah, and it suits marketers, salespeople, founders and makers who want to try ready-made agents for free or publish their own to a public audience. Agents run on Agent.ai’s site, pulling data from sources like LinkedIn and Google and returning reports, lists and drafts.

The Free plan covers marketplace agents and the no-code builder with weekly run limits, Premium agents cost $10 a month each and Pro is $25 a month. Quality varies across community-built agents, and company governance controls are light. We score it 8.4/10 on our scale.

Agent.ai by the Numbers

Agent.ai’s early figures come from Shah’s public updates, reported by CX Today, and its own documentation and blog.

The builder figures say the most about the platform. More than 14,000 people tried the builder within about four months and nearly 1,700 published an agent, which explains both the breadth of the catalog and the spread in quality. CX Today has since reported user numbers well past the January 2025 figure, with headlines citing more than 2 million users.

The HubSpot connection is informal but real. Shah’s earlier side project, ChatSpot, followed a path into HubSpot and became Breeze Copilot, and he has said he hopes Agent.ai may eventually join HubSpot’s ecosystem. HubSpot named agentic AI a main focus for its HubSpot Ventures investment arm in 2025.

A 3.99 average rating across public agents is respectable for a young, community-built catalog, and the ratings give users a quick filter before running something new.

How Agent.ai Works for Users and Builders

Agent.ai has two audiences: people who run agents and people who build them. Both use the same site.

Why a Public Marketplace Differs From a Platform Store

Platform stores such as Microsoft’s or Salesforce’s sell to administrators, who install agents for their users. Agent.ai sells to the individual. There is no tenant to configure and no procurement step, so whoever needs the output runs the agent directly. That model trades governance for speed, and it suits tasks where the input is public, such as a company website or a published profile.

Finding and Running an Agent

Users browse or search the marketplace, open an agent’s page and run it with their input. Many agents focus on research, sales and marketing chores such as summarizing a company, researching a person before a meeting or drafting content. Each public agent shows a community star rating from one to five.

Before running an agent on real work, open its page and read what inputs it asks for and which data sources it uses; that takes a minute and tells you whether it will send anything sensitive to a model.

Hiring Agents

Agent.ai describes itself as a place to discover, connect with and hire AI agents. Profiles for agents and their builders work like a professional network, so you can see who made an agent and what else they have built.

Building Without Code

The Agent Builder is drag-and-drop. Builders assemble steps from dozens of actions that pull data from sources such as X, Bluesky, LinkedIn and Google, pass it to a model and format the result. Supported models include OpenAI’s GPT-4o and o1, Google’s Gemini, Anthropic’s Claude and open-source Meta Llama 3 and Mistral models.

Adding Code When Needed

Developers can call third-party APIs and write serverless functions that interact with agent steps, which lets a builder connect an agent to a private data source or a niche tool.

Choosing Models in the Builder

Model choice is one of the builder’s practical strengths. A builder can use a fast, low-cost model for a summarizing step and a stronger reasoning model such as o1 for an analysis step in the same agent, or switch providers if one handles a task better. Open-source Llama 3 and Mistral models sit next to OpenAI, Google and Anthropic options, which lets makers compare output on the same inputs before publishing.

Publishing and Getting Found

Once an agent is public, it gets a page in the marketplace and a rating from the community. Builders also have profiles that show what they have made, which turns the marketplace into a showcase for consultants and makers who build agents for clients. The documentation says credits reward community actions such as completing a profile or referring users, which encourages builders to fill out their pages.

Premium Agents

Some agents are Premium. Free users get limited access to them within weekly run limits; a subscription of $10 a month unlocks one Premium agent fully, and Pro at $25 a month unlocks all of them, including future ones. One Premium agent listed by Agent.ai is a meeting prep agent offered as try free or $10 a month.

A Sales Rep’s Week With Agent.ai

Take an account executive preparing for five discovery calls. On Monday she runs a free company research agent on each prospect and a LinkedIn profile agent on each buyer, then saves the reports to her CRM by hand. For the two most important calls she runs a Premium meeting prep agent, which uses up her free Premium runs. By Thursday she subscribes to that one agent for $10 a month. A teammate who uses several Premium agents moves to Pro at $25.

What Users Should Expect From a Run

A run is an on-demand job: you give an input from the agent’s page, the agent works through its steps and returns a result there. That keeps agents easy to try, and it also means anything you want to keep, such as a research report, has to be copied into your own tools.

Agent.ai Pricing Plans

Agent.ai has moved to platform-based pricing while keeping a free plan.

Agent.ai says the difference between plans is volume, not access, and that it intends to keep a meaningful free plan. Its documentation describes credits as the marketplace’s currency, with a typical run costing one credit; credits can be earned by completing a profile or referring users and cannot be bought or sold.

What Agent.ai Costs in Practice

• A founder using free agents: $0, within weekly run limits.
• A rep who relies on one Premium agent: $10 a month, or $120 a year, with free agents still available alongside it.
• A marketer using three Premium agents: three subscriptions would cost $30 a month, so Pro at $25 is $5 cheaper and covers every Premium agent.

For a five-person team on Pro, the cost is $125 a month, or $1,500 a year. Compared with seat-based enterprise agent platforms, that is a small outlay, though it buys access to public agents and not a governed internal deployment.

Agent.ai Compared With Agentverse, Microsoft Agent Store and AWS Marketplace

Agent.ai is an open, public marketplace; the others serve developers or enterprises.

Agent.ai asks the least of an individual getting started: no license, no cloud account and no card. Agentverse targets developers registering agents for other agents to find, while Microsoft and AWS sell into companies with governance and procurement needs. Teams that want to build agents for internal use may also compare Relevance AI or Lindy. See our AI agent marketplaces and no-code agent builders pages.

Individuals and Small Teams Trying Agents

Agent.ai fits people who want results from agents without setup. Sales reps, marketers and founders can run research and content agents for free and pay $10 for the one Premium agent they rely on. Makers who want an audience for their agents get a public profile, community ratings and a builder that needs no code.

Consultants and freelancers who build automations for clients get a public portfolio. Publishing a free agent that solves a common problem, then pointing prospects to its page and rating, is a low-cost way to show skill. Builders who want to experiment with several LLMs on the same task get a sandbox that costs nothing to start.

HubSpot users may also find it natural, given its founder, though it runs independently of HubSpot.

Enterprises Needing Governed, Installed Agents

Companies that need agents installed inside their own systems with admin controls, audit trails and procurement terms will find more in AgentExchange, Microsoft’s Agent Store or AWS Marketplace.

Builders who need agents to run on a schedule, trigger from events in their own systems or write results back into a CRM will find a workflow automation tool or an in-platform builder closer to that need.

Teams handling sensitive customer data should review what each agent sends to which model before using it on real records.

Agent Quality, Run Limits and Data

• Quality: agents come from a large community, and Shah himself said early on that agent quality needed work; use ratings to filter.
• Run limits: the Free plan has weekly run limits; heavy users will need Premium or Pro.
• Data handling: agents send inputs to third-party models and data sources; avoid confidential data unless you know the agent’s steps.
• Hosting: agents run on Agent.ai, so results need copying into your own tools.
• Ratings: star ratings come from other users; a low-volume agent with a perfect score may rest on very few ratings.
• Credits: documentation describes credits that cannot be bought; check how they relate to the newer weekly run limits on your account.

Agent.ai Suits People Who Want to Try Agents Today

We rate Agent.ai 8.4/10 on our scale. It keeps the barrier to using agents low: a free plan with no card, a large public catalog, community ratings and a builder that lets anyone publish. Paid plans are cheap and clearly priced.

Its scale is part of the value. With thousands of agents built by a large builder community, there is a good chance someone has already built an agent for a common sales or marketing chore, and the free plan lets a user look without paying.

Areas to improve are consistency and controls. Clearer quality signals beyond star ratings, and admin features for teams, would help it move from individual use into companies. For individuals and small teams exploring what agents can do, it is a good place to start.

Users’ Questions About Agent.ai

Is Agent.ai Free?

Yes. The Free plan includes marketplace agents and full builder access with weekly run limits and no credit card. Premium agents cost $10 a month each, or $25 a month for all of them on Pro.

Who Created Agent.ai?

HubSpot co-founder and CTO Dharmesh Shah, who introduced it at INBOUND 2024. It runs independently from HubSpot, though Shah has said he hopes it may one day join HubSpot’s ecosystem.

Can I Build and Publish My Own Agent?

Yes. The drag-and-drop builder offers dozens of actions and models from OpenAI, Google, Anthropic, Meta and Mistral, and developers can add API calls and serverless functions.

What Are Premium Agents on Agent.ai?

Premium agents are listings that need a subscription for full use. Free users get limited access within weekly run limits; $10 a month unlocks one Premium agent, and Pro at $25 a month unlocks all of them, including ones added later.

Can I Earn Credits on Agent.ai?

Agent.ai’s documentation says credits can be earned by completing your profile or referring new users, and that a typical agent run costs one credit. Credits have no cash value and cannot be bought or sold.

How Good Are the Agents on Agent.ai?

Quality varies because the community builds them. Public agents carry star ratings, and in January 2025 the average across public agents was 3.99 out of 5. Try an agent on a sample input before relying on it for client work or anything you will send to a customer.

Does Agent.ai Work Inside My CRM?

Agents run on Agent.ai’s site. Developers can call third-party APIs from agent steps, which can send results to other tools, but there is no documented install into a CRM like the platform marketplaces offer. Teams that need that should look at their CRM vendor’s own agent store.