NOAN vs Lindy
Lindy sells the agents: no-code AI employees you assemble in their platform, priced per user plus credits per task. NOAN sells the brain: verified facts, contacts, and a task board behind an API, and the agents that run on it are yours, built with any model, any runtime, and no per-task meter. Choose Lindy to get working automations this afternoon without engineering. Choose NOAN when agents are core to how you operate: you want to read their code, ground them in approved truth, and never pay a toll per action. The deeper difference is ownership: with NOAN the brain is portable and the agents are files in your repo.
Side by side
Competitor claims last verified 26 August 2026| Dimension | NOAN | Lindy |
|---|---|---|
| What it is | The company brain and API: verified facts, tasks, contacts, notes, and assets behind one REST endpoint | A no-code platform for building AI agents that work across your email, calendar, and tools |
| Source of truth | Approved, versioned facts with an owner; one source of truth for the whole company | Knowledge bases you upload per agent; no company-wide verified fact layer |
| Verification | Facts enter through a verify gate: a human approves before anything reads it as true | No approval gate on knowledge; human-in-the-loop steps available inside flows |
| API | Plain REST plus MCP, bearer keys, unlimited API keys on every plan | Agents live in Lindy's runtime; you configure rather than code |
| Agents | Built for agents: facts to ground on, a task board to control them, any model | Agents are the product: templates, triggers, and integrations, closed runtime |
| Auditability | Every fact versioned with full history and Time Travel; every agent action lands on the task board | Run logs inside the platform |
| Pricing model | Whole-workspace plans from $99/month; unlimited keys, no per-agent or per-task metering | Per user plus credits: $29.99, $99.99, and $199.99 per user per month with monthly credit pools that do not roll over |
| Lock-in | Facts are plain text behind a REST API; one GET exports everything | Flows and agents are Lindy-native; leaving means rebuilding them elsewhere |
When to choose Lindy
- You want useful automations today, no engineers involved, and templates that mostly fit
- Your agent needs are personal-assistant shaped: email triage, scheduling, meeting notes
- Predictable credits pricing beats running your own model keys
When to choose NOAN
- Agents are becoming how the company runs, and you want to own them: code you can read, models you choose, costs you control
- You need every agent grounded in the same verified facts and controlled from one task board
- You refuse per-task metering: NOAN keys are unlimited and you pay your model provider directly
Common questions
Is NOAN a Lindy alternative?
They solve agent work at different layers. Lindy is the fastest path to a working assistant without code. NOAN is infrastructure: the verified brain, CRM, and task board your own agents run on. Teams graduate from renting agents to owning them; NOAN is where they land.
Does NOAN come with agents like Lindy does?
NOAN ships the layer agents need and open patterns to build them: the agent skill, the fleet blueprint, and an agent planner that turns an idea into a build brief. Our own eighteen-agent fleet runs this way, and the same pattern is buildable by any coding agent in an afternoon.
Which is cheaper for running agents?
It depends on volume. Lindy's credits are simple at low volume. NOAN has no per-task cost at all: a $99 plan supports unlimited keys and unlimited agent calls, and you pay your model provider for tokens directly, at cost.
Sources: lindy.ai/pricing · All comparisons
See the fact layer with your facts in it
Every plan includes the API, MCP, and unlimited keys. Start with one verified fact and build from there.