9 best agentic AI tools I've tested in 2026 (for business)

Written by Everett Butler

Personally Tested

Everett compared 9 AI agent tools, including Gumloop, Lindy, CrewAI, and Devin AI, weighing ease of setup, automation quality, and pricing to find the top 9.

Everett Butler

Everett is Head of Marketing at Lindy. He’s focused on building a world class brand for Lindy and driving awareness, growth and affinity for our products.

Reviewed by Flo Crivello, Founder and CEO of Lindy

Flo Crivello is the founder and CEO of Lindy. He writes about technology, startups, and the future of work on his blog.

Last Updated: September 24, 2026

Table of contents

• 9 AI agent tools: TL;DR
• Research and testing methods
• 9 AI agent tools compared

An AI agent tool is software you use to build and run agents that make decisions, call other apps, and finish a task without someone clicking through every step. Some hand you a canvas. Some hand you a Python import. And some skip the building part and just do the work.

That split is the whole problem. A marketer who opens a developer framework loses a week to it. An engineer hits a wall on day three of any drag-and-drop canvas.

I ran nine of them through the same argentic AI task. A lead lands from a form, the agent researches the company, writes a short brief, and drops it in Slack for approval before anything gets sent. Same task, same Slack workspace, same nine days.

Lindy finished the task in under ten minutes without me building anything. It also spends credits faster than the rest of this list.

9 AI agent tools: TL;DR

Ordered by how much building each one asks of you, lightest first:

1. Lindy : Best for teams who want an AI teammate that gets work done with no canvas to learn
2. Zapier Agents : Best for stacks already running 20 or more Zaps
3. Gumloop : Best for marketing and ops teams building flows together
4. MindStudio : Best for shipping one agent as an app, an API, and an extension
5. Relevance AI : Best for runs that need an evaluation score and an audit trail
6. Make : Best for high volume where the per-credit cost decides
7. n8n : Best for technical teams that self-host and want a JavaScript node
8. CrewAI : Best for Python teams running several agents with defined roles
9. LangChain : Best for engineers who want the primitives and nothing decided for them

How I researched and tested these AI agent tools

Every tool got the same brief. The agent researches the company behind a new lead, drafts a 150-word summary, and posts it to #leads for a human to approve.

Setup ran on a free tier or trial wherever one existed, and I read the pricing page myself for the rest. That gave me nine days, one Slack workspace, and one HubSpot sandbox to work in.

What I scored:

• Time to first working agent: From signup to a run that posted something correct in Slack.

• Where it broke: Four of the nine failed outright during the test.

• Human approval: Could I park the agent before it sent anything?

• Pricing: Billed monthly, from each company's own pricing page.

9 AI agent tools compared

Every price above is the monthly-billed rate.

1. Lindy

Best for teams who want the work done with no canvas to configure

What it does: Lindy is an AI teammate that works across your connected apps.

Best for: Founders and ops leads at 10 to 100-person companies who want to hand work off and stop there.

I typed the brief into a DM as one paragraph, Lindy came back asking which channel to post in, and the first lead summary landed in #leads eight minutes after signup.

Key features

• Slack teammate: @mention it in a channel
• Cited Sources: Each response points to the source.
• Meeting Library: Team meetings get recorded and summarized.

Pros and cons

Pros:

• First to a working result of the nine tested.
• Sensitive sends stop at a human approval.

Cons:

• A single company lookup fires several tool calls, exhausting credits fast.
• No free plan, must start billing from day one.

Pricing

• Plus: $29.99 per user per month
• Pro: $99.99 per user per month
• Max: $199.99 per user per month

Bottom line

If the work itself is your bottleneck, I'd put Lindy in front of a team and expect work back the same week.

2. Zapier Agents

Best for bolting agents onto app plumbing you already run

What it does: Zapier Agents lets you describe an AI teammate and give it access to your connected apps, live data sources, and existing Zaps.

Best for: Teams already running 20 or more Zaps who want AI decisions in automations.

Pros and cons

Pros:

• The app catalog covers all functionalities.

Cons:

• Activity-based billing is hard to forecast.

Pricing

• Agents Pro: $50 per month

Bottom line

Zapier Agents pay off in proportion to how much Zapier you already run.

3. Gumloop

Best for marketing and ops teams building visual flows together

What it does: Gumloop is a visual canvas where you chain nodes into agents and flows.

Best for: Marketing, growth, and ops teams who want to see the logic.

Pros and cons

Pros:

• Easier to hand over than any code-first option.

Cons:

• 300 connectors against Zapier's 9,000.

Pricing

• Pro: from $37 per month

Bottom line

A growth team can run with this tomorrow.

4. MindStudio

Best for shipping one agent as a web app, an API, or a browser extension

What it does: MindStudio is a no-code builder that publishes one agent to multiple targets.

Best for: Solo builders and agencies who need to put an agent in a client's hands.

Pros and cons

Pros:

• You can publish agents easily.

Cons:

• Reviewers report many plan changes.

Pricing

• Individual: $20 per month

Bottom line

At $20 a month, a consultant sending just one agent to three clients fully covers it.

5. Relevance AI

Best for enterprise teams who need evaluations and audit trails

What it does: Relevance AI builds evaluation frameworks for agent performance.

Best for: Companies past 200 people where outputs must survive a compliance review.

Pros and cons

Pros:

• Evaluation layer answers if the agent is still working.

Cons:

• Agent evaluations are Enterprise-only.

Pricing

• Pro: $29 per month

Bottom line

Smaller teams will find the sales gate more expensive than the software.

6. Make

Best for cheap, high-volume automation with AI steps

What it does: Make is a visual automation platform with 3,000+ app connections.

Best for: Teams running thousands of credits a month.

Pros and cons

Pros:

• The free tier covers a small workflow end to end.

Cons:

• Long wait times for support.

Pricing

• Core: $16 per month

Bottom line

Make wins on arithmetic once the volume gets serious.

7. n8n

Best for technical teams who want to self-host

What it does: n8n is a workflow platform with visual building and code nodes.

Best for: Engineering-adjacent teams who want a canvas and raw code.

Pros and cons

Pros:

• Customer records stay on your infrastructure.

Cons:

• Support wait times come up often.

Pricing

• Starter: $24 per month

Bottom line

For a team with one engineer to look after it, n8n does more per dollar than the rest of this list.

8. CrewAI

Best for Python teams building agents with defined roles

What it does: CrewAI is an open-source Python framework for multi-agent systems.

Best for: Engineering teams who need several agents working together.

Pros and cons

Pros:

• Role separation caught two mistakes.

Cons:

• 50 workflow executions a month is thin.

Pricing

• Enterprise: Custom pricing

9. LangChain

Best for engineers who want low-level control

What it does: LangChain is a framework for building applications.

Pros and cons

Pros:

• Tracing is excellent for debugging.

Cons:

• It can be unnecessarily complicated for simple tasks.

Pricing

• Plus: $39 per seat per month

Final verdict

Lindy is my pick for the average team. It produced a better result eight minutes after signup, and nobody on the team had to learn a tool to get it.

If you need a solid AI agent tool for your team, consider your specific needs when making the final decision.