Rerun vs Zapier
App-to-app automationA Zap moves data between apps. A Rerun agent sorts the inbox, answers the lead and chases the invoice.
Read the comparisonRerun vs Make
Make builds automations as visual scenarios, one module at a time. Rerun gives you AI agents that take the goal and handle the steps themselves.
Last reviewed , against each product’s public pricing and docs.
The short answer
Pick Make when you want precise control over branching and data mapping on a canvas, and a credit price per action that is hard to beat at volume. Pick Rerun when the work needs judgment and you would rather not rebuild a scenario each time an input changes. Rerun is a flat $29 a month, with no credit spent per module.
Choose Make if
- You like designing the exact data path yourself
- Your volume is high and every run follows the same path
- You need a specific app from their 3,500+ catalog
Choose Rerun if
- Your scenarios keep growing routers and error handlers
- You want the job done, not a canvas to maintain
- Loops and polling are burning through your credits
- You need an agent that remembers context between runs
Side by side
Rerun vs Make at a glance.
A Make scenario passes data from module to module. A Rerun agent answers the lead, chases the invoice and learns from your corrections.
Setting it up
Place each module on a canvas and map the data between them, or let the AI assistant draft a first scenario you maintain after that.
Describe the outcome in a sentence and connect your apps. The agent plans the steps itself.
A case it has not seen
The scenario follows its routes, so a new kind of input means another router or filter. Its AI agents pick their tools at run time, inside the scenario you built around them.
The agent reads each input, decides what to do and asks you when it is unsure.
Files, code, a browser
Code runs inside a module, and nothing keeps files or a browser between runs.
Your workspace’s private machine: files, scripts, a browser and databases, all kept between runs.
What it remembers
Nothing carries over unless you design a data store and read it back.
It writes down what you corrected and keeps its own files and tables between runs.
The AI behind it
Make’s AI Provider, billed in credits that vary with the tokens, or your own OpenAI or Anthropic key on a paid plan, at a credit per operation.
Run on the Rerun model included in the plan, sign in with the ChatGPT or Claude plan you already pay for, or bring an API key.
What running it costs
One credit per module action by default, some features billed dynamically on tokens, file size or run time, and 1,000 credits a month on the free plan.
$29 a month for 5 agents. Rerun counts neither runs nor steps.
Key differences
Where Rerun and Make part ways.
Four differences that change your day to day, shown on the real product.
No canvas to wire
Connect your stackA Make scenario is a chain of modules you place and map, even when its AI assistant drafts the first one, and an AI agent you add decides inside the scenario you built around it. A Rerun agent gets a job description, signs in to Gmail, Notion or Stripe, reaches 3,000+ apps and any MCP server, and plans the whole job itself.
Memory without building data stores
See how it learnsIn Make, anything a scenario should remember goes into a data store you design. Rerun agents keep memory, files and databases on their machine, and read one company brain with your offer and your tone, so they learn that this client always pays late without you adding a filter.
## Procedure
1. Pull unpaid invoices from Stripe daily
2. Send a first reminder on day 7 past due
3. Escalate to the account owner after 2 tries
4. Log every touch in the CRM thread
## Exceptions
- Never chase an invoice under $50
- Read references/tone.md before escalating
3files
## Billing
- Pays around day 30, sometimes later
- A PO number is required on every invoice
- Invoices go to ap@acme.co, not to Dana
## People
- Dana Reyes runs ops, answers within a day
- Escalations go through their COO
74%
## Voice
- English, formal, no emoji
- Sign off as the founder, not an assistant
- Keep it under 120 words
## Timing
- Follow up twice, then stop
- Send whenever the draft is ready
44%
Files and scripts, not just modules
Give it a machineIn Make, everything happens inside the modules you place, and nothing survives the run. A Rerun agent works on your workspace’s private machine: it writes files, runs scripts, drives a browser, uses an app on screen like a person, and keeps its own databases between runs.
No credit per module
Automate a taskMake spends a credit on every module action by default, bills some features on the tokens, the file size or the run time, and its AI agent’s chat spends credits too, so loops add up. Rerun is one plan from $29 a month, and runs are never counted.
listening
running
A payment just failed
Margo is chasing it
done
New email from a lead
Jules is drafting a reply
done
Every morning at 7:00
Sam sorted your inbox
Switching
Move from Make in three steps.
No migration project. Start with the one task that costs you the most, and let it prove itself.
Step 01
Chase invoicesEvery Monday
Reply to leadsOn every new email
Find 20 new leadsEvery day, 8:00
Pick the scenario you rebuild most
Write down what it should achieve in one or two sentences. That is the whole setup.
Step 02
Connect the same apps
A sign-in for Gmail, Sheets or Notion, a token for the ones that ask for one. Run it on our AI, your own ChatGPT or Claude plan, or an API key.
Step 03
This morning07:00
- Sort the inbox07:04
- Chase 2 invoices07:09
- Write the weekly reportRunning
Run both, then retire the scenario
Put the agent on the same schedule or trigger, compare a week of results, then pause the scenario.
Pricing
What you actually pay.
Make bills in credits: one per module action by default, with some features billed dynamically on tokens, file size, pages or run time, and an AI agent spending a credit per operation, plus token credits unless you bring your own OpenAI or Anthropic key. Routers and error handlers are free. The free plan includes 1,000 credits a month and paid plans are sold by credit tier, from 10,000 credits a month up. Rerun is one plan from $29 a month, and runs are never counted.
Rerun
Everything you need to put Coworkers to work
From$29/month
Start your free trialAdd Coworkers or credits whenever you need them.
5-day free trial · card required, $0 today
Included
5 Coworkers
Five Coworkers running side by side, each with its own job and tools.
Your own machine
A private computer in the cloud where every Coworker of your workspace lives, shares its files and its data. Only yours.
Unlimited seats
Your whole team on the same workspace, with no per-seat fee.
Also included
Bring your own AI
Optional: your own key, subscription or local model.
3,000+ apps
All your tools ready to connect, plus any MCP or API.
Delegate any task
Hand off the busywork. Your Coworkers run it around the clock.
Invite your teammates
Share your workspace and build your Coworkers together.
Further reading
More on Make and its alternatives.
AI Workflow Automation: Use Cases, Tools, and How to Get Started (2026)AI workflow automation runs multi-step work with agents that reason and act, not rigid if-this-then-that rules. Here are the real use cases, how the tools differ, and how to get started.
The Best n8n Alternatives in 2026 (Tested & Compared by Use Case)The best n8n alternatives in 2026, sorted by the switch you are actually making: open-source, cheaper, more AI-native, or governed AI agents. Honest picks, compared.
Best No-Code AI Agent Builders in 2026: Ranked and TestedWe tested the top no-code AI agent builders of 2026. See which tools actually let you build, deploy, and monitor autonomous agents, no code required.Other comparisons
Weighing something else?
Rerun vs n8n
Workflow automation, self-hosted or cloudn8n gives engineers workflows to build and host. Rerun gives your team agents that answer leads and chase invoices, with nothing to host.
Read the comparisonRerun vs Claude Cowork
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Read the comparison
Rerun vs Manus
General AI agent with its own computerManus delivers one-off research, slides and sites, billed in credits. Rerun runs your recurring work every day, for one flat price.
Read the comparison
Rerun vs Grok Bot
Always-on agents from xAIGrok Bot comes inside SuperGrok and Cursor plans, in beta. Rerun is a plan of its own, with agents ready to install on the model you choose.
Read the comparisonRerun vs Paperclip
Open-source org chart for AI agentsPaperclip gives the agents you already run an org chart, budgets and approval gates, on a server you host. Rerun gives you the agents themselves, already running on a machine we keep up.
Read the comparison
Rerun vs Hermes Agent
Self-improving open-source agentHermes is one agent you install and run, or host on Hermes Cloud by the day. Rerun gives you a team of agents already doing the job, on one machine included in the plan.
Read the comparisonRerun vs OpenClaw
Open-source personal AI assistantOpenClaw is an assistant you install, host and secure, and its foundation sells nothing. Rerun agents do the same jobs from an isolated machine we run for you.
Read the comparison
Rerun vs Lindy
AI assistant for your team and your toolsLindy bills every active user, then every task in credits. Rerun runs the same jobs for one flat price, on the AI you already pay for.
Read the comparisonRerun vs Twin
AI agents for one operator and their clientsTwin is flat-priced too, but the browser agent and the lead data sit on its $149 plan, and the people you invite are clients, not teammates.
Read the comparison
Rerun vs Dust
AI agents on your company knowledgeDust answers from your company’s documents, priced per seat. Rerun agents do the recurring work for the whole team, at one price.
Read the comparisonRerun vs Squad
AI teammates on the AI plan you bringSquad is $99 a month on top of the AI plan you bring. Rerun costs less, includes model credit and has agents ready to install.
Read the comparisonFAQ
Rerun vs Make, your questions.
Is Rerun a Make alternative?
Yes, when the work needs judgment rather than a fixed path. Make is excellent at precise data routing. Rerun agents read the input, decide what to do and ask you before anything risky.
Does Rerun use credits or operations like Make?
No. Rerun is a flat plan from $29 a month and never counts runs. You only add capacity, like agents or model credit, when you need it, and seats are free.
How is Rerun different from Make AI Agents?
A Make agent takes a goal and picks its tools, modules, scenarios or MCP tools, but it lives inside the scenario you built around it and spends credits on every operation. A Rerun agent is the product itself: it owns the whole job, lives on your workspace’s private machine with its files, databases and memory, and you watch its work on a live board.
Can I keep Make and Rerun side by side?
Yes. Many teams keep simple, high-volume scenarios in Make and give the tasks that need judgment to Rerun agents.
Do I need to learn a canvas to use Rerun?
No. There is no canvas. You describe the job in plain words, connect your apps, and the agent sets itself up.
2,000+ businesses run on Rerun
Hire Coworkers on the ChatGPTplan you already pay for.
- 1. Plug in your subscription
- 2. Set up your Coworkers
- 3. Run your business with Coworkers
Compare
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