Flowbaker

Flowbaker

No-code AI workflow builder that connects apps, agents, and triggers, with a self-hostable execution engine you can run in your own cloud.

60/100MonitorFree · from $9.99/moFreemium

Flowbaker is the more engineering-flavoured choice against Zapier or Make: node-based building, in-field expression generation, agent memory and knowledge nodes, and an executor you can self-host so runs happen on your own infrastructure. The unlimited self-hosted execution path is genuinely different from what Zapier or Make offer, and the AI nodes (Anthropic, OpenAI, Gemini, Groq plus Chat Trigger) make it a reasonable place to build a small internal agent. It is still in public alpha and the catalog is narrower than Zapier's, so if you need 6,000+ app connectors or deep enterprise governance, look at Zapier or Make first.

Verified 2d ago · liveness 60/100 · cite: rightaichoice.com/tools/flowbaker

Best for
  • Business operations managers automating internal processes
  • Makers and small startup teams comfortable with a node canvas
  • Teams that need to self-host workflow execution
  • Builders experimenting with AI agents inside automations
Not ideal for
  • Teams that need thousands of pre-built app connectors today
  • Organisations requiring mature enterprise governance and audit tooling
  • Users who need a native mobile or desktop automation app
Visit Website

Beginner-friendlySigning up and running a first trigger-to-notification workflow is a same-day job for a technical ops person. Wiring an agent with Knowledge, Agent Memory, and a Chat Trigger takes longer — budget a few sessions. Self-hosting the executor adds its own setup: you clone the repo and connect it before jobs route to your environment, which is a developer task rather than an afternoon for aWeb · API · PluginAPI availableVerified 2d ago
Pricing
Free · from $9.99/mo
FreemiumFree tier4 plans4 hidden costs
Learning curve
Beginner-friendly
Signing up and running a first trigger-to-notification workflow is a same-day job for a technical ops person. Wiring an agent with Knowledge, Agent Memory, and a Chat Trigger takes longer — budget a few sessions. Self-hosting the executor adds its own setup: you clone the repo and connect it before jobs route to your environment, which is a developer task rather than an afternoon for a
Runs on
WebAPIPlugin
API available · 25 integrations
Who it's for
Business operations managerStartup engineerSupport lead
Live sentiment
Is Flowbaker actually worth it?

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  • Real pros & cons from real users
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Skip it if

Skip Flowbaker if you need a catalog of thousands of pre-built connectors or enterprise governance tooling on day one — this is a public-alpha builder with a few dozen integrations.

The 30-second take
Biggest gripe

AI chat tokens are metered separately from workflow executions, so an agent-heavy workflow can burn through the 2M token free allowance well before you hit 100 runs.

Price reality

Flowbaker sits below Zapier's and Make's paid entry points: Starter at $9.99/month and Pro at $24.99/month, both cancellable anytime, with a free tier of 100 executions and 2M AI chat tokens. That makes it cheaper than Make's paid tiers for light AI-assisted automation and far cheaper than Zapier at low volume. Teams with high execution volume and a preference for managing their own compute should price the self-hosted executor path instead of scaling paid tiers.

In short

Flowbaker — No-code AI workflow builder that connects apps, agents, and triggers, with a self-hostable execution engine you can run in your own cloud. Best for Business operations managers automating internal processes, Makers and small startup teams comfortable with a node canvas, Teams that need to self-host workflow execution. Free to start; paid plans from $9.99/mo.

What's new in Flowbaker

Checked 2 days ago

Across the latest 3 updates: 2 feature updates and 1 launch.

What people actually say about Flowbaker — is it worth it?

We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.

2 mentions across 2 sources (Hacker News, GitHub) · researched Jul 30, 2026.

45% positive55% critical

Average across the 2 sources that answered — each source counts once, not each post.

Recurring strengths
  • +Visual builder makes workflow creation accessible to non-coders.
  • +Free tier allows testing with 100 runs per month.
  • +Self-hosted option gives data control to privacy-conscious teams.
  • +Custom execution engine may offer performance advantages.
  • +Error handling and retries built into every workflow.
Recurring frustrations
  • −Extremely small user base means little real-world feedback.
  • −Only 8 integrations, far fewer than competitors like Zapier.
  • −No mobile app or browser extension mentioned.
  • −Custom engine could introduce unique bugs or limitations.
  • −Pricing for pro ($29/mo) is cheap but may lack enterprise features.
Patterns worth knowing
Lack of community presence makes evaluation difficult
Seen on Hacker News, GitHub
Self-hosted execution engine is a differentiator and a risk
Seen on Hacker News, GitHub
Early-stage tool with limited integrations
Seen on Hacker News, GitHub
Learning curve
beginnerProductive in ~5 minutes
Hidden costs people mention
  • • Self-hosting may require server resources and maintenance effort.

Viability Score

60/100
Monitor

How well maintained and how widely used is Flowbaker? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this

Recent activity
90
Traction
42
Site health
95
User sentiment
45
What the vendor publishes
40

Last calculated: September 2026

How we score →

Key Features

  • Visual no-code workflow builder
  • AI Agent node that calls connected tools
  • AI Assistant that generates expressions in any field
  • Chat Trigger for conversational workflow entry
  • Flowbaker Agent Memory for stateful agents
  • Flowbaker Knowledge node for retrieval
  • Flowbaker Storage node
  • Self-hosted executor in your own cloud or on-prem
  • Execution history with step-level tracing
  • Zero-knowledge encrypted credential storage
  • Schedule (Cron) and trigger-based automation
  • Error handling with On Error nodes and retries
  • Data transformation nodes: Transform, Manipulation, Split Array, Items To Item
  • Webhook and Input Trigger entry points
  • Model nodes for OpenAI, Anthropic, Gemini, and Groq

About Flowbaker

FreemiumBeginner-friendlyAPI availableWeb · API · Plugin

Flowbaker is a no-code workflow automation platform for building AI-assisted automations that connect the apps you already use. You build in a visual editor, wire nodes together, and add an AI Agent node that can call tools like Slack, GitHub, and Snowflake. An AI Assistant writes expressions directly inside any field, so you transform data, run conditions, and compose logic without hand-writing syntax. The built-in integration catalog covers messaging, repos, billing, databases, and AI — Anthropic, OpenAI, Gemini, Groq, Discord, Dropbox, Gmail, Google Calendar, Google Drive, Google Sheets, GitLab, Jira, Linear, MongoDB, Notion, Pipedrive, PostgreSQL, Redis, Resend, Shopify, Slack, Snowflake, Stripe, Teams, Telegram, Webhook, and YouTube among them. Flowbaker ships a Chat Trigger for conversational entry points, plus Flowbaker Agent Memory, Flowbaker Knowledge, and Flowbaker Storage for stateful agents. You can self-host the executor: run it in your own cloud or on-prem environment, and Flowbaker routes jobs to your designated executor so the heavy lifting happens on your infrastructure. Every run is traced in an execution history with success and failure states, and credentials are stored with zero-knowledge encryption. It is aimed at business operations managers, makers, and startup teams who want real automations without a code project.

Behind the Verdict

Where Flowbaker stands out is the combination of a visual builder, an AI Agent node that can call your connected tools, and a self-hosted executor. Most no-code automation tools keep execution on their own cloud; Flowbaker lets you clone the executor and run jobs on your own infrastructure, which matters if your workflows touch regulated data or you want to control compute cost. The in-field AI Assistant that generates expressions is a real time-saver for anyone who has fought with Zapier's formatter or Make's functions. The AI layer is explicit rather than implied: you can drop in OpenAI, Anthropic, Gemini, or Groq nodes, add Flowbaker Agent Memory for state, and index material into Flowbaker Knowledge, all inside the same canvas as your Slack and Stripe steps. A Chat Trigger and Toolset node mean you can turn a workflow into something a colleague can talk to. Execution history gives you step-level tracing with success and failure states, and credential storage uses zero-knowledge encryption. The trade-offs are honest. The platform is in public alpha, the integration catalog is a few dozen apps rather than thousands, and the free tier's 100 monthly executions and 2M AI chat tokens run out quickly if you automate anything chatty. There is no native mobile or desktop app — it is browser-based, plus the self-hosted executor you run yourself. Teams that need hundreds of connectors, advanced data transformation primitives, or enterprise governance features will still be better served by Zapier or Make. Teams that want a builder, an agent framework, and the option to run execution themselves will find Flowbaker interesting.

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Real-world workflow fit

Concrete scenarios for the personas Flowbaker actually fits — and what changes day-one when you adopt it.

Business operations manager

Connect a Google Sheets form response to a Slack notification, then have an OpenAI node draft a follow-up email and send it through Gmail.

Outcome: Lead follow-up goes out within minutes of submission without anyone copy-pasting between tools.

Startup engineer

Self-host the Flowbaker executor in the team's AWS account, then route GitHub pull request events through a webhook into Slack and Linear.

Outcome: Engineering notifications run on the team's own infrastructure, and the execution history shows exactly which step failed.

Support lead

Build a Chat Trigger workflow with Flowbaker Knowledge loaded with help articles, Agent Memory for context, and a Slack tool for escalation.

Outcome: A first-line assistant answers common questions and hands off to a human channel when it cannot.

Use Cases

Models Under the Hood

GPT-5.2

as of 2026-09-09

Limitations

  • Flowbaker is in public alpha, so expect the integration catalog and feature surface to move.
  • The catalog covers a few dozen apps rather than the thousands Zapier and Make offer, so check that your specific stack is present before committing.
  • Free-tier limits are real: 100 workflow executions and 2M AI chat tokens per month, 500MB storage, which is easy to exhaust if your workflows call models frequently.
  • AI-heavy workflows consume tokens separately from executions, so cost scales with two meters rather than one.
  • There is no native mobile or desktop app; the builder is browser-based and the self-hosted executor is something you operate yourself.

as of 2026-09-26

Verification history

We have re-verified Flowbaker 7 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.

  1. — re-checked, vendor evidence unchanged
  2. — re-checked, vendor evidence unchanged
  3. — re-checked, vendor evidence unchanged
  4. — re-checked, vendor evidence unchanged
  5. — re-checked, vendor evidence unchanged
  6. — re-checked, vendor evidence unchanged

Showing the 6 most recent of 7 verification passes.

Free to cite with attribution — this page re-verifies continuously.

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
Free
Over 12 months
Effective monthly
Free
Billed monthly

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Plans compared

For each published Flowbaker tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.

Free

$0/mo

Ideal for

An individual testing whether Flowbaker's node builder fits their stack before spending anything

What this tier adds

Starting tier — 100 workflow executions a month, 2M AI chat tokens, 500MB storage, custom webhooks and community support.

Starter

$9.99/mo

Ideal for

A maker or small project running scheduled syncs and light AI steps every day

What this tier adds

Raises limits to 2,000 executions a month, 16M AI chat tokens and 10GB storage, and adds email support.

Pro

$24.99/mo

Ideal for

A small team automating several processes at once with agent and model nodes in production

What this tier adds

Raises limits to 10,000 executions a month, 40M AI chat tokens and 20GB storage, and moves support to priority.

Enterprise

Custom

Ideal for

An organisation needing custom limits, specific integrations, or a tailored support arrangement

What this tier adds

Custom billing with limits, integrations and support shaped around your team's requirements.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • AI chat tokens are metered separately from workflow executions, so an agent-heavy workflow can burn through the 2M token free allowance well before you hit 100 runs.
  • Storage is capped per tier — 500MB free, 10GB on Starter, 20GB on Pro — and Flowbaker Knowledge and Storage nodes count against it.
  • Running the self-hosted executor shifts infrastructure cost to your own cloud bill, which is cheap at low volume and not at high volume.
  • Integration-heavy flows that call PostgreSQL, Snowflake, or MongoDB repeatedly can push execution counts faster than a simple trigger-and-notify workflow.

Where the pricing makes sense

The company stage and team size where Flowbaker's pricing actually pencils out — and where peers do it cheaper.

Flowbaker sits below Zapier's and Make's paid entry points: Starter at $9.99/month and Pro at $24.99/month, both cancellable anytime, with a free tier of 100 executions and 2M AI chat tokens. That makes it cheaper than Make's paid tiers for light AI-assisted automation and far cheaper than Zapier at low volume. Teams with high execution volume and a preference for managing their own compute should price the self-hosted executor path instead of scaling paid tiers.

Setup time & first value

How long it actually takes to get something useful out of Flowbaker — broken out by persona, not the marketing-page minute.

Signing up and running a first trigger-to-notification workflow is a same-day job for a technical ops person. Wiring an agent with Knowledge, Agent Memory, and a Chat Trigger takes longer — budget a few sessions. Self-hosting the executor adds its own setup: you clone the repo and connect it before jobs route to your environment, which is a developer task rather than an afternoon for a

Switching to or from Flowbaker

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • →From Zapier: rebuild your highest-value Zaps node by node in the visual builder, then use the Webhook node in place of Zapier's trigger where no native integration exists.
  • →From Make: map Make modules onto Flowbaker nodes and move your scheduling logic to the Cron node.
  • →From n8n: if you were already self-hosting, point Flowbaker's executor at your own infrastructure to keep execution in-house.
  • →From manual spreadsheets: start with a Google Sheets trigger feeding a Slack or Gmail step, then expand once the pattern works.
Migrating out
  • ↗To Zapier: export your logic as a node list and rebuild it as Zaps, accepting that AI agent steps will need separate tooling.
  • ↗To Make: rebuild workflows as scenarios and move scheduled jobs onto Make's scheduler.
  • ↗To n8n: take the self-hosted executor approach further by running a fully self-managed automation stack.

Integrations

SlackGmailGoogle SheetsGoogle CalendarGoogle DriveNotionGitHubGitLabJiraLinearStripePostgreSQLMongoDBRedisSnowflakeDiscordTelegramMicrosoft TeamsDropboxShopifyPipedriveYouTubeAWS S3ResendAnthropic

Resources & Guides

Tutorials & Learning

YouTube returned 1 video for “Flowbaker”, and we withheld 1: 1 could not be judged, because “Flowbaker” is a single word that other videos use for other things. We are showing none, because we could not prove any of them is about Flowbaker.

Official links

Tools that pair well with Flowbaker

Common stack mates teams adopt alongside Flowbaker, with the specific reason each pairing earns its keep.

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