Search "best agentic AI" and you'll find lists that put a coding agent, a customer-support bot and a Python library side by side, as if they competed. They don't. "Agentic AI tools" now covers four different kinds of product, and the right pick depends on which one you need.
So this roundup ranks tools inside four lanes: general-purpose agents you start and supervise, business agent platforms that run recurring work in your company apps, coding agents, and developer frameworks for building your own. Each lane has its own short ranking.
Disclosure: This article is published by DeskFerry. DeskFerry appears only in the business-platform lane, where it fits, and we say where other tools there beat it. It does not compete with the general-purpose or browser-based agents below.
What makes an AI tool "agentic"?
A tool is agentic when it can do four things on its own:
- Plan. It takes a goal ("prepare a brief for tomorrow's call with Acme") and breaks it into steps.
- Use tools. It reads and writes in other systems: email, calendar, CRM, a code repository, the web.
- Act. It does the steps, not just describe them.
- Loop. It checks the result, fixes mistakes and keeps going until the job is done or it needs you.
That is what separates an agent from its neighbours:
| Chatbot | Rule-based automation | AI agent | |
|---|---|---|---|
| Starts from | A message | A trigger | A goal |
| Decides the steps | No | No, you wire them | Yes |
| Uses your apps | Rarely | Yes, fixed steps | Yes, picks which ones |
| Handles surprises | Answers questions | Breaks or skips | Adapts, or asks you |
| Example | "Summarise this email" | "When a form is filled, add a row" | "Qualify new leads and draft replies for my approval" |
If you want the full definition, history and architecture, read what is agentic AI. This post is about which tools to use.
How we compared
We compared tools within each lane, based on vendor documentation, pricing pages and public announcements checked in October 2026. We looked at:
- How much it can do without you: planning, tool use, and recovering from errors.
- Where it can act: which apps, files or systems it can reach.
- Control: approvals, permissions, logs and the ability to stop or undo.
- Price to get started: free tier or trial, entry price, and how usage is billed.
We did not run benchmarks. Model scores change monthly; the product around the model changes less often and matters more for daily use.
Quick comparison
| Lane | Tool | Best for | Price to start |
|---|---|---|---|
| General | ChatGPT Work | Multi-step tasks across your apps and files | In paid ChatGPT plans; Plus is $20/mo |
| General | Claude Cowork | File work, connectors, scheduled tasks | Claude Pro, $20/mo ($17 annual) |
| General | Gemini Spark | Always-on agent in Google Workspace | Google AI Pro, $19.99/mo (US) |
| General | Perplexity Computer | Long research-heavy projects | Perplexity Max, $200/mo |
| General | Manus | Standalone agent for research and deliverables | Credit-based plans |
| Business | DeskFerry | Recurring business tasks across 1,500+ apps | 7-day free trial, then $49/mo |
| Business | Lindy | Email, meetings and scheduling | From $49.99/user/mo (5,000 credits) |
| Business | Relevance AI | Sales and ops agent teams | See vendor |
| Business | Agentforce | Salesforce-native orgs | See vendor |
| Business | Copilot Studio | Microsoft 365 orgs | See vendor |
| Coding | Claude Code | Agentic coding in terminal and IDE | Claude Pro, $20/mo |
| Coding | Codex | Coding agent inside ChatGPT plans | ChatGPT Plus, $20/mo |
| Coding | Cursor | AI code editor with cloud agents | Premium, $30/mo for cloud agents |
| Coding | Devin | Delegating whole tickets | Usage-based |
| Framework | LangGraph | Controllable, stateful agents in code | Open source |
| Framework | CrewAI | Role-based multi-agent teams | Open source |
Lane 1: General-purpose agents
These are agents you give a task to, watch, and steer. They are good at one-off jobs: research a market, build a spreadsheet from scattered sources, plan a trip, clean up a folder. They are less suited to the same job every Monday, run reliably for a whole team.
A big 2026 change: OpenAI retired its older ChatGPT agent mode in favour of ChatGPT Work, and its Atlas browser shut down on August 9, 2026. If an older article recommends either, it's out of date.
1. ChatGPT Work: Best general-purpose agent
What it does. Launched in July 2026, ChatGPT Work takes longer, multi-step tasks across your connected apps and files and turns them into documents, spreadsheets and presentations. It uses the same usage allowance system as Codex, so bigger tasks use more of your plan.
Pricing. Included in paid ChatGPT plans; Plus is $20 a month, with Pro and Business tiers for heavier use.
Not for you if you need tasks to run on a schedule for a team with approvals and an audit trail. That's the business-platform lane.
2. Claude Cowork: Best for careful work on files and connected apps
What it does. Cowork is Claude's agent mode. It works through tasks on your files and connected apps (Gmail, Google Calendar, Drive and more), can operate apps on a Mac, and runs scheduled tasks in the cloud, so work continues when your laptop is closed. Since July 2026 it runs on web and mobile as well as desktop.
Pricing. Claude Pro is $20 a month or $17 billed annually; Max starts at $100 a month (Claude pricing).
Not for you if you want the widest catalogue of consumer app integrations. ChatGPT's is larger.
3. Gemini Spark: Best for Google Workspace users
What it does. Announced at Google I/O in May 2026, Spark is a personal agent that runs in Google's cloud around the clock. It works across Gmail, Docs, Sheets, Calendar and Drive plus partner apps, and it asks before sending email or spending money.
Pricing. Rolled out first to Google AI Ultra and then to US Google AI Pro subscribers ($19.99 a month). Google says it isn't coming to the EEA, the UK or Switzerland.
Not for you if you work outside Google's apps or outside the US.
4. Perplexity Computer: Best for research-heavy projects
What it does. Launched in February 2026, Computer is Perplexity's multi-agent system: it splits a project into research, writing and building sub-tasks, routes each to a suitable model, and can keep working in the background. Perplexity's Comet browser also has a built-in assistant that can navigate pages for you.
Pricing. Computer launched for Perplexity Max at $200 a month. Pro is $20 a month.
Not for you if you want an agent for everyday admin. It's built for big research and build jobs.
5. Manus: Best standalone agent
What it does. Manus popularised the "give it a goal, come back to a finished deliverable" agent. It researches, writes, builds slides and small sites, and works on files in its own cloud environment.
Pricing. Credit-based plans; published prices vary by source, so check Manus before you buy.
Not for you if you need your agent tied closely to your company's apps and permissions.
Lane 2: Business agent platforms
These platforms run recurring work inside your business apps: the weekly report, lead follow-up, inbox triage, CRM updates. The questions that matter here are integrations, approvals and whether non-technical people can set agents up.
We keep this lane short because we cover it in depth elsewhere: for the full ranked list with pricing and security, read best AI agents for business. If you're choosing a tool to build your own agents, read best AI agent builder.
6. DeskFerry: Best for small teams handing off recurring work
DeskFerry is an AI agent platform where you describe an agent in plain English, connect it to 1,500+ apps, and assign it tasks from a Tasks board or from Slack. Agents remember context across runs, keep run history, can work as a team, and wait for your approval in the Desk before anything important goes out. DeskFerry Assist is the personal assistant on the same platform. Pricing starts with a 7-day free trial, then $49 a month (Growth), $99 (Pro) or $299 (Scale); see pricing.
Where others beat it. DeskFerry doesn't browse websites or control a computer the way the general-purpose agents above do, and it has no mobile app. Lindy's ready-made assistant is quicker to set up for pure email and calendar work.
7. Lindy: Best for email and meeting assistants
Lindy is strongest as an AI assistant for inbox, meetings and scheduling, with a builder for custom agents. The Team plan starts at $49.99 per user a month for 5,000 credits, with $50 of free starter credits for 7 days (Lindy pricing). See DeskFerry vs Lindy.
8–10. Relevance AI, Agentforce and Copilot Studio
Relevance AI suits sales and operations teams building groups of agents with some technical help. Salesforce Agentforce is the natural choice when your data and processes live in Salesforce. Microsoft Copilot Studio is the equivalent for Microsoft 365 organisations. Pricing for all three depends on plan and usage, so the business list compares them in detail.
Lane 3: Coding agents
Coding is where agents have matured fastest, because code gives instant feedback: tests pass or fail. These tools read a codebase, plan a change, edit files, run commands and iterate.
11. Claude Code: Best coding agent overall
What it does. Works in your terminal, IDE or on the web, reads the whole repository, makes multi-file changes, runs tests and commands, and asks before risky actions. Strong at large refactors and unfamiliar codebases.
Pricing. Included with Claude Pro ($20 a month), Max and Team plans; not on the free plan .
Not for you if you want everything inside one editor UI. Cursor is more editor-first.
12. OpenAI Codex: Best if you already pay for ChatGPT
What it does. OpenAI's coding agent runs tasks in the cloud or locally, works in parallel on several tasks, and can open pull requests for review.
Pricing. No separate subscription. It's included in paid ChatGPT plans from Plus ($20 a month), with higher limits on Pro.
Not for you if you've standardised on another vendor's models.
13. Cursor: Best AI code editor
What it does. A code editor built around AI, with an agent that edits across files and cloud agents that work on tasks in the background.
Pricing. Cursor overhauled its plans in October 2026. There's a free tier and a Plus plan at $8 a month, but cloud agents start at Premium, $30 a month; Teams start at $30 per user (Cursor pricing). Check which models each tier includes.
Not for you if you prefer the terminal or your existing editor.
14. Devin: Best for delegating whole tickets
What it does. Devin works like a junior engineer you assign tickets to. It plans, codes, tests and opens a pull request, and you review.
Pricing. Usage-based, billed in compute units; check Devin for current rates.
Not for you if your tasks need close back-and-forth. Interactive tools like Claude Code or Cursor fit better.
Lane 4: Developer frameworks
Frameworks are for engineering teams building agents into their own products. They are free and open source; you pay for models and hosting. Our AI agent frameworks guide goes deeper, and AI platforms covers the wider cloud and model layer underneath.
15. LangGraph: Best for controllable production agents
LangGraph models an agent as a graph of steps with saved state, so you can pause, resume, add human review and recover from failures. It has a steeper learning curve but gives the most control.
16. CrewAI: Best for role-based agent teams
CrewAI lets you define agents as roles (researcher, writer, reviewer) that work together on a task. It's one of the fastest ways to get a multi-agent prototype running.
Also worth a look. The OpenAI Agents SDK is a lightweight Python option if you're building on OpenAI models. Google's Agent Development Kit (ADK) fits teams on Google Cloud and Gemini. Microsoft has shifted from AutoGen to its Microsoft Agent Framework, so new projects on Microsoft's stack should start there.
How to choose the right agentic AI tool
Answer three questions:
- Is this a one-off task or recurring work? One-off: a general-purpose agent. Recurring: a business agent platform.
- Who will set it up? Non-technical teams need plain-English setup and templates. Engineering teams can use coding agents and frameworks.
- What happens if it gets something wrong? If a mistake means a wrong email to a customer or a bad CRM update, insist on approvals, logs and narrow permissions before you widen what the agent can touch.
Most teams end up with one of each: a general-purpose agent for ad hoc work, a coding agent if they write software, and a platform for the recurring business tasks nobody wants to do by hand.
The bottom line
The best agentic AI tool is the best one in your lane. ChatGPT Work and Claude Cowork lead for one-off tasks. Claude Code, Codex and Cursor lead for code. LangGraph and CrewAI lead for building your own. For recurring business work across your apps, with approvals on anything that matters, use a business agent platform, and start with the one your team will actually set up.
