Flowbaker is live · free plan, paid from $9.99/mo · last verified 25 Oct 2026 · viability monitor
Flowbaker
Flowbaker builds no-code AI workflows with self-hosted execution so agent jobs run on your own infrastructure
Flowbaker is worth a look if self-hosted execution is a hard requirement, not a checkbox — dispatching jobs to an executor you run is the capability the big suites make hard. Memory, Knowledge and Storage as native nodes turn an internal agent prototype into a weekend job. Just budget for public-alpha rough edges and a connector list that is still filling out.
Verdict generatedVerified 20d ago · liveness 60/100 · cite: rightaichoice.com/tools/flowbaker
- Ops teams automating internal processes without starting a code project
- Organizations with data-residency or on-prem rules that need self-hosted execution
- Makers prototyping AI agents with built-in memory, knowledge and retrieval nodes
- Startups wanting automation plus agent building on one canvas at a low entry price
- Teams needing thousands of pre-built connectors today — the catalog is still growing
- Organizations requiring mature enterprise governance and audit tooling
- Buyers who want one-click pre-made playbooks instead of building on a canvas
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Skip Flowbaker if you need a connector library in the thousands today, or if you want a vendor-managed runtime rather than an executor you run and maintain yourself.
Going past your tier's monthly executions means upgrading — 100 on Free, 2,000 on Starter, 10,000 on Pro — so a workflow that loops over a large list can burn a month's allowance in one run.
The published tiers — Free, $9.99/mo Starter and $24.99/mo Pro — sit well below Zapier and Make's paid plans, which makes Flowbaker cheap for a solo maker or a small ops team testing agent workflows. Where it stops being the cheap option is at scale on the non-self-hosted path: execution and token allowances are tiered, so a high-volume operation either steps up to Enterprise (quoted custom) or runs the executor itself and absorbs the infrastructure cost.
In short
Flowbaker — Flowbaker builds no-code AI workflows with self-hosted execution so agent jobs run on your own infrastructure. Best for Ops teams automating internal processes without starting a code project, Organizations with data-residency or on-prem rules that need self-hosted execution, Makers prototyping AI agents with built-in memory, knowledge and retrieval nodes. Free to start; paid plans from $9.99/mo.
What is Flowbaker?
Flowbaker — Flowbaker builds no-code AI workflows with self-hosted execution so agent jobs run on your own infrastructure. Best for Ops teams automating internal processes without starting a code project, Organizations with data-residency or on-prem rules that need self-hosted execution, Makers prototyping AI agents with built-in memory, knowledge and retrieval nodes. Free to start; paid plans from $9.99/mo.
Flowbaker puts app automation and AI agents on one visual node canvas, with the twist that execution can run on infrastructure you control. Teams in public alpha can build flows in Flowbaker's hosted cloud, or clone the GitHub repo and run an executor in their own cloud or on-prem environment so Flowbaker's cloud dispatches jobs to it rather than handling the heavy lifting itself. A workflow starts from a cron schedule, a webhook, or a Chat Trigger, then moves through transform and logic nodes. The AI Agent node can call connected tools mid-flow, and an AI Assistant writes expressions inside any node field via chat, so data mapping and conditions skip hand-written syntax. First-party nodes for Flowbaker Agent Memory, Knowledge and Storage give agents state and retrieval without extra plumbing, and a Toolset node groups agent tools. Connectors cover Slack, Gmail, Google Drive, Sheets and Calendar, Notion, Jira, Linear, GitHub, GitLab, Stripe, PostgreSQL, MongoDB, Redis, Snowflake, Discord, Teams, Telegram, Dropbox, Shopify, Pipedrive, YouTube, AWS S3, Resend, plus HTTP and JWT nodes and model nodes for OpenAI, Anthropic, Gemini and Groq. On Error nodes with retries handle failures, execution history traces each step, and credentials sit behind zero-knowledge encryption. Positioned against Zapier and Make, Flowbaker is the leaner, self-hostable option that treats agent primitives as first-class nodes. It ships as a hosted product alongside an open repository and a Discord community, and it is still in public alpha with a young connector catalog.
Key features
- Visual no-code workflow builder on a drag-and-drop node canvas
- Self-host the executor in your own cloud or on-prem environment
- Cloud dispatches jobs to your connected self-hosted executor
- AI Agent node that calls connected tools inside a workflow
- AI Assistant generates expressions in any node field via chat
- Flowbaker Agent Memory node for stateful agents
- Flowbaker Knowledge node for retrieval inside workflows
- Flowbaker Storage node for workflow data
- Chat Trigger for conversational workflow entry points
- Cron scheduling and webhook-driven triggers
- On Error nodes with retries for failure handling
- Execution history with per-step success and failure tracing
- Zero-knowledge encrypted credential storage
- Model nodes for OpenAI, Anthropic, Gemini and Groq
- Toolset node for grouping agent tools
Behind the verdict
The case for Flowbaker starts with one question: does execution have to sit on your own infrastructure? If yes, it is one of the few visual builders that answers honestly. Clone the repo, stand up the executor, connect it, and Flowbaker's cloud routes jobs there. For teams with data-residency rules or an on-prem mandate, that changes the shortlist. If the answer is no, the value proposition thins. On a pure cloud comparison, Zapier and Make bring thousands of connectors and years of governance tooling that a public-alpha product does not. Flowbaker's edge isn't breadth, it's the combination of agent nodes and self-hosting on one canvas. We'd reach for it when an internal ops flow needs an AI step with memory or retrieval and the data can't leave the building. The Flowbaker Agent Memory, Knowledge and Storage nodes mean you aren't wiring a vector store by hand, and the AI Assistant writing expressions lowers the syntax tax on non-developers. Where it bites: the connector catalog is still growing, so check your specific app before committing. Enterprise governance and audit tooling are not there yet, and this is public alpha — don't put contractual uptime on it for customer-facing workflows. There's also an operational cost people underestimate. Self-hosting means someone owns the executor: upgrades, monitoring, restarts. If no one on the team wants that job, the self-hosted pitch becomes a liability rather than a feature. Our read: treat Flowbaker as a prototyping and internal-automation tool first. Build the agent flow, prove it, then decide whether the alpha maturity matches what you need in production.
Models under the hood
as of 2026-09-09
Limitations
- Flowbaker is labelled public alpha on its own homepage, 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 2026-10-14
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Is Flowbaker still active?
Flowbaker is live · free plan, paid from $9.99/mo · last verified 25 Oct 2026 · viability monitor.
Viability score
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
Last calculated: November 2026
How we score →What's new in Flowbaker
Checked 10 days agoAcross the latest 3 updates: 2 feature updates and 1 launch.
Flowbaker now in public alpha
The vendor site labels Flowbaker as now in public alpha, shipping with a GitHub repository and a Discord community alongside the hosted cloud product.
Self-host your executions
After cloning the repository, jobs can be dispatched to an executor you run in your own cloud or on-prem environment, moving heavy lifting off Flowbaker's cloud.
Agent memory, knowledge and storage nodes
Flowbaker Agent Memory, Flowbaker Knowledge and Flowbaker Storage nodes give workflows state and retrieval directly inside the visual builder.
What do users say about Flowbaker?
What people actually say about Flowbaker — is it worth it?
Our community sentiment research written Jul 30, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
How we verified this
Every listed fact about Flowbaker — pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 25 Oct 2026. Analysis is drafted with AI models and checked against our editorial standards before publishing; see how we verify.
Verification history
We have re-verified Flowbaker 13 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.
- — changed pricing tiers, summary, our verdict, description
- — changed summary, features, pricing tiers, description, our verdict
- — changed who it suits, who should skip it, description, summary, our verdict, pricing tiers, features
- — changed summary, our verdict, pricing tiers, who it suits, features, description, who should skip it
- — changed description, who should skip it, our verdict, who it suits, pricing tiers, integrations, summary
- — changed setup time, pricing fit, summary, who should skip it, our verdict, who it suits, features, hidden costs, integrations, limitations, switching in, use cases, switching out, models, description
Showing the 6 most recent of 13 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Flowbaker cost in 2026?
Flowbaker: Free to start; paid plans from $9.99/mo. Pricing last verified 25 Oct 2026.
Plans compared
Every published Flowbaker tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.
| Plan | Price | Billing | Who it's for |
|---|---|---|---|
| Free | Free | — | An individual testing whether a node canvas fits how they think, or automating one low-volume internal task.Adds: Starting tier: 100 workflow executions per month, 2M AI chat tokens, 500MB storage, custom webhooks and community support, with no credit card required. |
| Starter | $9.99/mo | monthly | A maker or small project that has outgrown a hundred runs a month and needs more room for agent calls.Adds: Adds 20x the executions of Free (2,000/month), 16M AI chat tokens instead of 2M, 10GB storage, and email support. |
| Pro | $24.99/mo | monthly | A professional or growing team running automations daily across several connected apps.Adds: Raises the ceiling to 10,000 executions per month and 40M AI chat tokens with 20GB storage, and swaps email support for priority support. |
| Enterprise | Custom | quote | Organizations with execution volumes, integrations or support needs that don't fit the published tiers.Adds: Tailored execution limits, integrations and support, with custom billing arranged with the vendor. |
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where Flowbaker's pricing actually pencils out — and where peers do it cheaper.
The published tiers — Free, $9.99/mo Starter and $24.99/mo Pro — sit well below Zapier and Make's paid plans, which makes Flowbaker cheap for a solo maker or a small ops team testing agent workflows. Where it stops being the cheap option is at scale on the non-self-hosted path: execution and token allowances are tiered, so a high-volume operation either steps up to Enterprise (quoted custom) or runs the executor itself and absorbs the infrastructure cost.
Has Flowbaker's pricing changed?
Flowbaker's pricing is tracked for changes; the moves we have logged since Aug 2026 are below.
| Date | Change |
|---|---|
| Pro: $29 → $24.99 /mo | |
| Plan removed: Team | |
| New plan: Starter ($9.99/mo) | |
| New plan: Enterprise (Custom) |
Who should pick Flowbaker?
Pick Flowbaker if you are Ops teams automating internal processes without starting a code project, Organizations with data-residency or on-prem rules that need self-hosted execution, Makers prototyping AI agents with built-in memory, knowledge and retrieval nodes, Startups wanting automation plus agent building on one canvas at a low entry price.
Look elsewhere if you are Teams needing thousands of pre-built connectors today — the catalog is still growing, Organizations requiring mature enterprise governance and audit tooling, Buyers who want one-click pre-made playbooks instead of building on a canvas, Customer-facing workflows where contractual uptime matters — the product is public alpha.
Skip it if Skip Flowbaker if you need a connector library in the thousands today, or if you want a vendor-managed runtime rather than an executor you run and maintain yourself.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Flowbaker actually fits — and what changes day-one when you adopt it.
Watches a Slack support channel with the Slack node on a trigger, passes each message through the Content Classifier, and uses an AI Agent node with the Toolset node to create the matching GitHub issue or Linear ticket.
Outcome: Inbound requests stop being copied by hand into a tracker, and every ticket carries the original Slack context.
Builds a Chat Trigger workflow backed by Flowbaker Knowledge for retrieval and Flowbaker Agent Memory for state, then adds Postgres and Google Sheets tools so the assistant can read real data.
Outcome: A working internal assistant on a canvas in an afternoon, with the expressions in each node written by the AI Assistant rather than hand-typed.
Clones the Flowbaker repository, runs the executor in their own cloud environment, and connects the Snowflake node so warehouse queries and Slack summaries execute on their own infrastructure.
Outcome: Automations run inside the environment the data team already governs, using the source-available code and the lightweight SQLite-backed platform, with execution history still visible in the builder.
Use cases
- Build an AI agent that reads a Slack channel and files GitHub issues automatically
- Sync records between Google Sheets, Notion and PostgreSQL on a Cron schedule
- Classify inbound form submissions with the Content Classifier node and route them to Pipedrive
- Send personalised order update emails driven by customer fields in Stripe
- Query Snowflake from a workflow and post summary results to Slack or Teams
- Stand up a chat-triggered internal assistant backed by Flowbaker Knowledge and Agent Memory
- Self-host execution for workflows that must not leave your own infrastructure
- Compose expressions with the AI Assistant instead of hand-writing syntax in every node field
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 building a first two-node workflow on the canvas takes roughly 15-30 minutes, since the AI Assistant writes the expressions for you. Connecting a self-hosted executor is a separate job: clone the repository, run it in your own cloud or on-prem environment and link it to your Flowbaker account — budget an hour or two if you're comfortable with containers, more if you're not.
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.
- →From Zapier: rebuild your Zaps as node workflows on the canvas, mapping each Zap step to the equivalent Flowbaker node and Cron or webhook trigger.
- →From Make: recreate scenarios as flows, translating Make modules into nodes and using the Transform and Manipulation nodes in place of Make's built-in functions.
- →From n8n: clone your repo's executor pattern into Flowbaker's self-hosted executor and re-add integrations from Flowbaker's catalog.
- →From hand-rolled scripts: move each scheduled job into a Cron-triggered workflow and keep the logic in expression fields written by the AI Assistant.
- ↗To Zapier: export your workflow logic as documentation, then rebuild it as Zaps once you need a connector Flowbaker doesn't yet carry.
- ↗To Make: rebuild flows as scenarios, since Make's module library is wider and its router handles the branching Flowbaker does with Condition nodes.
- ↗To n8n: move to a self-hosted n8n instance if you want a larger community node library while keeping execution on your own machines.
- ↗To custom code: take the execution history and node logic as a specification and implement the steps directly against each service's API.
Integrations
Resources & guides
Tutorials & Learning
YouTube returned 4 videos for “Flowbaker”, and we withheld 4: 4 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 are about Flowbaker.
Official links
What are the best Flowbaker alternatives?
The closest alternatives to Flowbaker we list are Make, Zapier and n8n. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Make | Freemium | Pricing not published | — |
| Zapier | Freemium | Pricing not published | — |
| n8n | Freemium | Pricing not published | — |
Alternatives to Flowbaker
View allTools that pair well with Flowbaker
Common stack mates teams adopt alongside Flowbaker, with the specific reason each pairing earns its keep.
Make
Make is a visual automation canvas where branching workflows, AI agents and prompt-built scenarios run on the same map.
Zapier
Zapier connects 9,000+ apps to Claude, ChatGPT, Cursor and Gemini Enterprise through one governed MCP server.
n8n
n8n is a visual workflow automation platform where AI agents and integrations run on a canvas you can read, trace, and audit.
Flowbaker vs its closest rival
Flowbaker's closest head-to-head is with Locus Robotics.
Our Flowbaker vs Locus Robotics verdict written Jul 3, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
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