Buyer's guide

The best AI agent for startups

By Marcell Havlik, founder of TODO for AI · Updated

A funded team of five to fifty, shipping fast, watching burn. One agent on everyone's machine and one pooled bill, not a tool per department. Here is how 30 tools score against what this job actually needs, and where each one fits.

Key takeaways

  • Top pick. TODO for AI ranks first of 30 AI agents for startups, at 98% fit, followed by n8n (76%) and OpenHands (70%).
  • What decides it. For startups the ranking weights long-running work and beyond code highest.
  • Models. TODO for AI runs any provider, Claude, GPT, Gemini, Grok or a local Ollama model, on one plan. Pricing: free plan (Claude Sonnet only), then Starter $20, Pro $100 or Ultra $200 a month with any provider included.
  • Benchmark. TODO for AI scored 89.9% on Terminal-Bench 2.1 with Opus 5.5 (high) (own harness, 80/89 tasks, 2026-10-08; not an official leaderboard submission).
  • Not for you if. If your engineers are the only AI users and will stay that way, a per-seat coding tool for that team is simpler to buy and defend. Breadth only pays once non-engineers use it.
30 tools
scored for this role
Long-running work
weighted heaviest
98%
top fit score
n8n
runner-up
The job

What startups actually need done

At startup scale the buying question changes from "which tool is best at this task" to "how many tools are we going to run, and what happens to the bill at forty people". Per-seat pricing for occasional users, and one subscription per department, is how that gets expensive without anyone deciding it should.

So this ranking weights team controls, pooled cost and model freedom alongside capability. The winner should be usable by engineering and by go-to-market, on one budget, without betting the company on a single model vendor.

01
Give everyone leverage, not just engineers

One tool the whole company can use beats four tools each department defends at renewal.

02
Pool the spend

Per-seat licences for people who use it twice a month are how AI budgets quietly double.

03
Control access as you grow

Roles, approvals and audit become real requirements somewhere around the tenth hire.

04
Avoid a vendor bet

The best model changes every few months. Locking the company to one vendor is a bet you do not need to place.

The ranking

Scored for startups

AI agents ranked for startups, by weighted fit. Verified 2026-09-17.
RankToolFit
1
TODO for AI
A funded team of five to fifty, shipping fast, watching burn. One agent on everyone's machine and one pooled bill, not a tool per department.
98%
2
n8n
Technical teams who want automation they can self-host and extend in code.
76%
3
OpenHands
Teams that want an open, self-hosted autonomous coding agent.
70%
4
OpenClaw
Technical people who want a self-hosted assistant in their chats and are happy to operate it.
69%
5
Notion
Teams whose work already lives in Notion and who want agents to maintain it.
67%
6
Hermes Agent
Technical users who want a self-hosted agent that learns them over time and lives in Telegram, Discord or the terminal.
65%
7
ClickUp
Teams already running ClickUp who want agents inside their existing boards.
64%
8
Lindy
Ops and go-to-market teams automating repeatable processes without writing code.
60%
9
Linear
Engineering teams who want issues, cycles and coding agents on one board.
59%
10
Asana
Operations teams who want repeatable intake and routing automated inside Asana.
57%
11
Copilot Cowork
Companies already standardised on Microsoft 365 who want an agent inside Outlook, Teams and Office.
57%
12
GitHub Copilot
Teams whose work lives on GitHub and who want agents attached to issues and pull requests.
55%
13
Make
Teams who want Zapier-style automation with more control and a lower per-run cost.
53%
14
Claude Cowork
Claude subscribers who want autonomous document, research and browser work without leaving Anthropic.
52%
15
Gumloop
Marketing and ops teams automating AI-heavy research, enrichment and content pipelines.
50%
16
monday.com
Teams already running monday boards who want agents acting on those boards.
50%
17
Cursor
Engineers who want AI inside the editor while they type.
49%
18
Manus
People who want polished research, decks, sites or short videos from one prompt, mostly in a vendor cloud.
47%
19
Zapier
Connecting SaaS tools with reliable trigger-to-action plumbing.
47%
20
Aider
Developers who want a lightweight, transparent CLI pair programmer.
46%
21
Airtable
Teams whose work is structured records and who want internal apps and agents on top of them.
46%
22
Claude Code
Developers whose work lives in a repo and who are all-in on Anthropic models.
45%
23
OpenAI Codex
Teams already on ChatGPT Plus or Pro who want GPT-native coding.
44%
24
ChatGPT
Anyone who wants one excellent assistant for research, writing and everyday questions.
43%
25
Cline
VS Code users who want an open agent with their own keys.
43%
26
OpenCode
Developers who want a free, hackable terminal agent and already hold API keys.
43%
27
Trello
Small teams who want a simple shared board and nothing more.
39%
28
Motion
People whose problem is deciding when to do the work rather than doing it.
37%
29
Base44
Small businesses and non-technical builders who want an internal tool or simple app live quickly and cheaply.
36%
30
Lovable
Non-developers and product people who want a working web app prototype without writing code.
36%
Method

How we weighted it

Every tool carries one set of scores across 6 dimensions, used on every page of this site. A page for startups does not rewrite those scores, it weights them. Here is every weight, including the ones turned down:

Model freedom
Which vendors and models you can run
×2
Long-running work
Persistent machine, scheduling, parallel tasks
×2.5
Beyond code
Marketing, ops, browser, email, not only repos
×2.5
Openness
Source available, self-host, extend
×1
Team & permissions
Roles, pooled usage, tool approvals
×2
Cost predictability
Flat plan vs metered tokens
×1.5

We build one of these tools, so treat this as an editorial argument rather than a measured verdict. The weights are all above and each tool's underlying scores are on its own comparison page, precisely so you can disagree with them.

The shortlist

The others worth knowing

n8n
76%

Fair-code workflow automation you can self-host, priced per whole workflow run.

Best for: Technical teams who want automation they can self-host and extend in code.
OpenHands
70%

Open-source autonomous software agent with a self-hosted or cloud workspace.

Best for: Teams that want an open, self-hosted autonomous coding agent.
OpenClaw
69%

Open-source personal agent that runs on your own machine and answers in WhatsApp, Telegram, Slack and 20+ other chats, bring your own keys.

Best for: Technical people who want a self-hosted assistant in their chats and are happy to operate it.
Notion
67%

The docs-and-databases workspace, with Custom Agents that run on schedules and triggers inside it.

Best for: Teams whose work already lives in Notion and who want agents to maintain it.
The caveat

When we are the wrong answer

Not for you if
If your engineers are the only AI users and will stay that way, a per-seat coding tool for that team is simpler to buy and defend. Breadth only pays once non-engineers use it.
FAQ

Common questions

How does pooled usage work?
Every seat's price goes into one shared pool with a bonus on top, so heavy users draw more and occasional users do not waste a licence.
Can we restrict what the agent does in production?
Yes. Tool permissions are per tool and per role, with approve-first for anything sensitive.
What if we change model vendors?
Nothing to migrate. Any provider is available on the same plan, and you can switch per task.