Comparison · All Hands AI

TODO for AI
vs OpenHands

By Marcell Havlik, founder of TODO for AI · Updated

Open-source autonomous software agent with a self-hosted or cloud workspace. Here is where each one wins, with numbers, and who should pick which.

FactOpenHandsTODO for AI
InterfaceWeb, CLIWeb, desktop, mobile, CLI, IDE (Zed, JetBrains, VS Code), voice
ModelsAny providerAny provider: Claude, GPT, Gemini, Grok, Ollama
SourceOpenEdge + CLI public
Starts atFree (self-host)Free
Facts verified 2026-09-15. Pricing is public list price.

Key takeaways

  • Models. OpenHands model choice: Any provider. TODO for AI runs any provider, Claude, GPT, Gemini, Grok or a local Ollama model, on one plan, and one model can review another's work.
  • 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).
  • Price. OpenHands pricing: MIT self-host. Cloud is credit based. TODO for AI has a free plan (Claude Sonnet only), then Starter $20, Pro $100 or Ultra $200 a month with any provider included.
  • Where the work happens. OpenHands gets one task done in a sandbox per task. TODO for AI is one board your team and agents work through together, on your own PC, a cloud VM and your logged-in Chrome.
  • Who should pick which. Pick OpenHands if you must self-host everything. Pick TODO for AI if you want a persistent VM with your real logins, not a fresh sandbox.
Any provider
models, vs any provider
Your machines
PC, cloud VM, real Chrome
Any CLI
is an integration, not just MCP
Free
from, vs Free (self-host)
Architecture at a glance
OpenHands
Models
AnthropicOpenAIGoogleAny provider
Runs in
Web, CLI
Where it lives
Sandbox per task
Produces
Code
PRs
SEO
Email
Ads
TODO for AI
Models
AnthropicOpenAIGooglexAIDeepSeekAny provider
CROSS-VENDOR REVIEW
Runs in
Your PC
Cloud VM
Real Chrome
Your IDE
Voice
Where it lives
Always-on cloud VM · vault · your logins
Produces
Code
SEO
Email
Ads
Social
CRM
Struck-through outputs are outside OpenHands's scope. TODO for AI runs the same models plus the rest, from a machine that stays on.
Positioning

We are not competing for the same job

Different problem

OpenHands gets the task done.
TODO for AI organises the whole company’s work.

OpenHands answers one question: how do I get this task done, in a sandbox per task? So do the others — Cursor inside the editor, Claude Code in one person's session, Lindy by asking its assistant.

We answer a different one: where does the work live? One board per project, and a project for each part of the company — engineering, marketing, ops, finance, one per client. Your colleagues work on it. So do your agents, as many as you want to run, each with its own model, tools and permissions. Items carry the people who worked them and the agent that ran them, and the board filters by person, so what the company has in flight is one screen instead of a Slack thread.

That is not a team plan bolted onto an AI tool. It is the product. The agents are how items get closed; the board is what the company runs on.

Context

What OpenHands is, and where it stops

OpenHands is the most serious open-source autonomous coding agent: MIT licensed, multi-model, a sandboxed workspace per task, and a cloud offering if you do not want to host it. It is the closest thing on this list to what TODO for AI does for code.

Where it stops is the edge of the repository. The sandbox is fresh per task rather than a persistent machine with your logins, there is no real-browser automation, and the integrations are aimed at software engineering rather than the rest of the business. Self-hosting is real ops work.

Teams that want an open, self-hosted autonomous coding agent.
Why people switch

Three reasons OpenHands users look elsewhere

01
Sandbox, not a machine

Each task gets a clean container. Your Chrome session, your CLI logins and your half-done state do not live there.

02
Software only

Excellent for pull requests, silent on marketing, email, ads and ops.

03
Ops burden if self-hosted

Running it well means running it yourself.

Scores

Six dimensions that decide it

Six dimensions, 0 to 5
OpenHands 22/30TODO for AI 29/30
Model freedom5 · 5 /5
Which vendors and models you can run
Long-running work4 · 5 /5
Persistent machine, scheduling, parallel tasks
Beyond code2 · 5 /5
Marketing, ops, browser, email, not only repos
Openness5 · 4 /5
Source available, self-host, extend
Team & permissions3 · 5 /5
Roles, pooled usage, tool approvals
Cost predictability3 · 5 /5
Flat plan vs metered tokens
Feature by feature

How does OpenHands compare to TODO for AI, feature by feature?

TODO for AI vs OpenHands, feature by feature. Verified 2026-09-15.
FeatureOpenHandsTODO for AI
Persistent cloud VM
An always-on machine. Files, logins and sessions survive between runs.
Sandbox per task
Yes
Model choice
Any provider
Any provider
Cross-vendor review
Review GPT output with Claude, or the other way around.
No
Yes
Drives your real browser
Browser extension (Chrome, Firefox) plus cloud browsers.
No
Yes
Business tasks, not only code
SEO, email, ads, social, CRM via CLI tools.
No
Yes
Any CLI as an integration
MCP
Any binary
Voice control
No
Yes
People and agents on one board
Colleagues and agents work the same list. Items show who contributed and which agent ran them; filter the board by person.
No
Yes
Many agents, each configured
Each agent gets its own model, prompt, tools and permissions. Pick which one takes an item.
Microagents
Unlimited, per task
Projects for the whole company
Engineering, marketing, ops, finance: separate projects and agents, one team and one bill.
Repos
Unlimited, shared
Team roles, pooled usage
Cloud plans
Roles + pooled
Tool permissions
Basic
Allow, approve, block
Open runtime
Yes
Edge + CLI public
Pricing

What it costs

OpenHands
Free (self-host)

MIT self-host. Cloud is credit based.

TODO for AI
Free

Hobby free (Sonnet only), Starter $20, Pro $100, Ultra $200. Paid plans include any model provider.

Verdict

Bottom line

Our take
OpenHands if you must self-host and your only workload is software. TODO for AI if you want one managed agent, with your real accounts, for code and the rest of the company.