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Giselle vs Langflow

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Free plan
Both — Giselle has a free plan, Langflow is free to use
Public API
Langflow has one; not confirmed by us for Giselle
Best fit
Giselle: Engineering teams automating pull-request review and documentation updates · Langflow: teams prototyping RAG and agent flows visually before coding them
Platforms
Giselle: Web · Langflow: Web, macOS, Windows, Linux
Trust score
About even — Giselle 89, Langflow 85

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

GiselleOpen-source visual builder for chaining AI models, web research and GitHub actions into agents without writing code.LangflowOpen-source visual builder for LLM agents and RAG flows, deployable as an HTTP API or an MCP server.

Side by side

FactGiselleLangflow
CategoryAI Workflow BuildersLLM Orchestration Frameworks
Pricing modelFreemiumFree
Starts at$20/mo—
Public APINot confirmedYes
Trust score89 / 10085 / 100
PlatformsWebWeb, macOS, Windows, Linux, API
CompanyROUTE06, Inc.Langflow
Launched2024—
Last verifiedOct 2, 2026Sep 6, 2026

What our research says

Giselle

Giselle suits small product teams that want to wire models into repeatable tasks like PR review, research and spec drafting, and that value being able to read or self-host the source. The hosted free tier is only a trial, and the team plan is not yet available.

Pros

  • Open source under Apache-2.0, with a hosted option
  • Ready-made templates for research, code review, specs and docs
  • Vector stores for documents, GitHub repositories and Postgres data
  • Pro includes monthly AI credits and access to premium models

Cons

  • Free plan is just 30 minutes of model usage
  • Team plan with sharing and up to 10 users is listed as coming soon
  • Pay-as-you-go beyond credits carries a 10% markup on base model rates

Langflow

Langflow is the visual layer most teams reach for when a flow needs to be shown to someone who does not write Python, and the escape hatch into real code keeps it from becoming a toy. Deploying a flow as an API or MCP server in one step is the feature that earns it a place in production. The gap is commercial: no published pricing, no named vendor on the site, and support only via a contact form.

Pros

  • MIT-licensed with roughly 154,000 GitHub stars and an active release cadence
  • Any flow deploys as an HTTP API or an MCP server
  • Runs identically self-hosted, in the free cloud, or as a desktop app
  • Components can be edited as Python when the visual layer runs out

Cons

  • No pricing or support tiers published anywhere on the site
  • Desktop download requires a signup form and covers only Mac and Windows
  • The site names no operating company or jurisdiction
  • Visual flows get hard to reason about once they grow past a screen

Which one fits

Choose Giselle if you need

  • Engineering teams automating pull-request review and documentation updates
  • Solo builders prototyping multi-step agent workflows visually
  • Developers who prefer an Apache-2.0 builder they can self-host

Choose Langflow if you need

  • teams prototyping RAG and agent flows visually before coding them
  • self-hosters who want an MIT-licensed orchestration layer
  • exposing a flow to other tools as an MCP server

Giselle vs Langflow: the questions people ask

Is Giselle cheaper than Langflow?

Langflow is free to use; Giselle starts at $20/mo.

Does Giselle or Langflow have a free tier?

Both: Giselle has a free tier, and Langflow is free to use.

Which has a public API, Giselle or Langflow?

Langflow ships a public API, as of our last verification. A public API for Giselle is not confirmed by us — check its developer docs before you plan an integration.

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