An AI agent platform lets you build software that takes actions on its own, such as answering a lead, updating a CRM record or filing a ticket, rather than only answering questions. The right one depends mostly on where your work already lives. Microsoft 365 companies should start with Copilot Studio, Salesforce customers with Agentforce, and Google Workspace teams with Gemini Enterprise.
For everyone else, n8n is the most flexible choice for technical teams, with a free self-hosted edition and cloud plans from €20 a month. Zapier is the easiest way to give an agent access to thousands of apps. Lindy and Relevance AI are built for non-technical business teams, and developers who want full control use code frameworks such as the OpenAI Agents SDK or CrewAI. The cost to watch is usage: almost every platform bills by credits, actions or tasks, so a busy agent can cost far more than the plan price.
Best AI Agent Platforms at a Glance
| Your situation | Pick |
|---|---|
| Company on Microsoft 365 | Copilot Studio |
| Customer data in Salesforce | Agentforce |
| Company on Google Workspace | Gemini Enterprise |
| Technical team, wants self-hosting | n8n |
| Small business automating across many apps | Zapier |
| Visual automations with some AI steps | Make |
| Sales or GTM team, no developers | Relevance AI |
| Busy founder drowning in email and meetings | Lindy |
| Several agents working together | CrewAI |
| Developers building a custom product | OpenAI Agents SDK |
AI Agent Platform Pricing Compared
| Platform | Free option | Entry price | Usage unit |
|---|---|---|---|
| Microsoft Copilot Studio | Included for internal use with Microsoft 365 Copilot licences | $200/month for 25,000 credits, or $0.01 per credit pay-as-you-go; pre-purchase discounts up to 20% | Credits (e.g. 2 per generative answer, 5 per agent action) |
| Salesforce Agentforce | Salesforce Foundations is free | $0.10 per action, $2 per conversation, or $125 per user a month | Flex Credits ($500 per 100,000) |
| Google Gemini Enterprise | Contact Google | Business from $21 per seat a month (up to 300 seats); Standard from $30 | Usage above quotas billed separately |
| n8n | Free self-hosted Community Edition | €20/month billed yearly (2,500 executions) | Workflow executions |
| Zapier | Free, 100 tasks a month | Professional from $19.99/month billed yearly | Tasks (AI steps cost 1, 3 or 5 tasks by model tier) |
| Make | Free, 1,000 credits a month | Core $12/month for 10,000 credits | Credits |
| Relevance AI | None for new users since September 2026 | Pro $19/month billed yearly ($29 monthly); Team $234 ($349 monthly) | 2,500 actions a month on Pro, 7,000 on Team; $80 per extra 1,000 |
| Lindy | Trial credits | Team from $49.99 per active user a month | 5,000 credits per user, pooled |
| CrewAI | Free, 50 hosted executions a month | Enterprise on quote | Hosted executions |
| OpenAI Agents SDK | No licence fee | Pay for OpenAI API usage | Tokens and tool calls |
Pricing and features as of November 2026, in US dollars unless stated, before tax. Agent platforms change pricing and features often, so check each vendor’s pricing page before committing.
What to Know Before Choosing an AI Agent Platform
- Pick the platform that sits on your existing data– Copilot Studio, Agentforce and Gemini Enterprise work best inside their own ecosystems.
- n8n is the most flexible general option- Self-host it free, or use the cloud from €20 a month, with human approval of agent actions built in.
- Zapier changed how agents work in October 2026– Agents now run as an AI step inside Zaps and bill as tasks.
- Usage pricing is the norm– Agentforce charges $0.10 per action, Copilot Studio $0.01 per credit, and Relevance AI $80 per 1,000 extra actions.
- OpenAI’s visual Agent Builder closes on 30 November 2026– Its code-based Agents SDK continues.
Best AI Agent Platforms for Microsoft, Salesforce and Google Users
Start with the agent builder that sits on your existing data. These three work best inside their own ecosystems and respect the permissions you already have.
Microsoft Copilot Studio
Copilot Studio builds agents that answer from your SharePoint and Graph data and act through Power Platform connectors, then deploys them in Teams, Microsoft 365 Copilot or a website. Since September 2025, everything bills in Copilot Credits: a generative answer uses 2 credits, an agent action 5 and grounding on your tenant’s Graph data 10. Internal agents used by staff with a Microsoft 365 Copilot licence don’t consume extra credits, which makes it cheap for internal use and harder to predict for customer-facing agents. Unused credits don’t roll over.
Salesforce Agentforce
Agentforce agents work directly on Salesforce records, so a service agent can look up an order and resolve a case, or a sales agent can qualify leads and book meetings, using the same permissions as your org. Salesforce offers three billing models: Flex Credits per action, a flat fee per customer conversation, or a per-user add-on for employee-facing use. A conversation costs the same as 20 actions, so Flex Credits are cheaper for short exchanges. Data 360 and the $5 Agentforce user licence are billed separately.
Google Gemini Enterprise
Gemini Enterprise bundles Agent Designer, a no-code builder, with prebuilt agents such as Deep Research and NotebookLM Enterprise. Its search respects existing permissions across Google Workspace and connected tools like Microsoft 365, ServiceNow and SAP, so agents only see what each user can see. Standard adds developer tooling for building agents in code.
Best AI Agent Platforms for Automating Across Many Apps
Automation platforms let an agent reason at some steps and follow fixed rules at others, across hundreds or thousands of apps.
n8n: Best AI Agent Platform for Technical Teams
n8n mixes fixed workflow steps with agent nodes that decide which tool to call, so you can let the AI reason where it helps and keep strict logic where it doesn’t. Tool calls can require human review, including approval from Slack, and every run is logged. The free Community Edition can be self-hosted, which keeps data on your own servers; the trade-off is that someone has to maintain it. We build a lead-qualifying agent in n8n step by step in our guide to how to create an AI agent.
Zapier (AI by Zapier): Easiest Way to Connect an Agent to Your Apps
In October 2026, Zapier moved its standalone Agents product into an AI step inside the Zap editor. An agent can now start from any of 9,000+ app triggers, use tools you pick, call other agents through Sub-Zaps, and require approval per tool so read-only actions run automatically while risky ones wait for a person. Runs that go over 75 tasks pause for review. Some knowledge sources, including HubSpot, Zendesk and Jira, aren’t supported yet.
Make: Best Visual Builder for Automations With AI Decisions
Make’s drag-and-drop scenarios connect more than 3,500 apps, with routers and filters to control what happens next. Its AI Agents feature is still in beta, so it’s better for automations that use AI for specific decisions than for fully autonomous agents. AI steps can use more credits than standard actions. Our Make profile has plan details.
Best No-Code AI Agent Builders for Business Teams
These are built for sales, operations and admin teams who want agents running without an engineer.
Relevance AI: Best No-Code Agents for Sales and GTM Teams
Relevance AI lets you build agents for prospect research, lead qualification and CRM updates, then chain them into teams. It meters two things: Actions for workflow steps and tool calls, and Vendor Credits for model usage. You can connect your own OpenAI, Anthropic or Google keys to avoid paying for model credits, but Actions still count. Relevance AI closed its free plan to new sign-ups on 11 September 2026. For dedicated outbound tools, see our AI SDR tools roundup.
Lindy: Best AI Assistant Agent for Inboxes and Meetings
Lindy builds assistant-style agents that triage inboxes, prepare for meetings, take notes and send follow-ups, with approvals before anything goes out. Agents share context across the workspace and can run on a schedule. Every active user is billed, and heavy tasks drain the shared credit pool faster than light ones.
Best AI Agent Frameworks for Developers
Developer frameworks give full control over how agents reason, which tools they call and where they run.
CrewAI: Best for Multi-Agent Workflows
CrewAI started as an open-source Python framework for “crews” of agents with defined roles, and now adds a visual editor, GitHub integration, hosted execution, tracing and human input steps. Enterprise customers can run it in a private cloud or on their own infrastructure. The free hosted tier’s 50 executions a month is enough to test, not to run daily work.
OpenAI Agents SDK: Best for Developers Building on OpenAI Models
The Agents SDK, in Python and TypeScript, gives developers agents, tools, handoffs between agents and tracing, with no licence fee beyond API usage. OpenAI’s visual Agent Builder, launched in October 2025, will no longer be available after 30 November 2026; OpenAI points users to the Agents SDK for code and to Workspace Agents in ChatGPT for natural-language team workflows. Other developer frameworks include LangChain’s LangGraph and Anthropic’s Claude Agent SDK.
AI Agent Platform Features Compared
| Platform | Builder | Connects to | Human approval | Self-hosting | How it bills |
|---|---|---|---|---|---|
| Microsoft Copilot Studio | Low-code | Microsoft 365, Teams, Power Platform connectors | Configurable in flows | No | Copilot Credits |
| Salesforce Agentforce | Low-code inside Salesforce | Salesforce data and Data 360 | Escalation to people | No | Flex Credits, per conversation or per user |
| Google Gemini Enterprise | No-code Agent Designer; code on Standard | Google Workspace, Microsoft 365, ServiceNow, SAP | Admin controls | No | Per seat plus usage |
| n8n | Visual workflow + agent nodes | Hundreds of built-in integrations, any API | Yes, including via Slack | Yes, free Community Edition | Workflow executions |
| Zapier (AI by Zapier) | AI step inside a Zap | 9,000+ app triggers | Per-tool approval | No | Tasks, with model multipliers |
| Make | Visual scenarios | 3,500+ integrations | Via scenario design | No | Credits |
| Relevance AI | No-code agent builder | CRM and GTM tools, your own API keys | Human-in-the-loop steps | No | Actions plus model credits |
| Lindy | No-code assistant | Email, calendar, meetings and other apps | Approvals for external actions | No | Credits per active user |
| CrewAI | Visual editor + Python framework | GitHub, APIs, tools you code | Human input steps | Yes, on Enterprise | Hosted executions |
| OpenAI Agents SDK | Code (Python, TypeScript) | Any tool you code | You build it | Runs on your servers | OpenAI API usage |
Building an agent for customer support specifically? Our AI agents for customer support guide covers dedicated support platforms. If you’re connecting agents to your own tools, our explainer on what MCP is covers the standard most platforms now support.
How to Choose an AI Agent Platform
- Start with one task, such as qualifying inbound leads.
- Check the platform connects to the apps that task needs.
- Estimate monthly runs and convert them into credits, actions or tasks.
- Require human approval for anything that sends, pays or deletes.
- Check where data is stored if you sell in the EU or Australia.
- Confirm you can see a log of every action the agent took.
- Set a spending limit before going live.
