Agentic WeeklyGet the weekly
LangflowTested (smoke test)

Langflow: what’s new and our verdict

MIT-licensed visual builder for AI agents and MCP servers with a very large GitHub following.

Official site

Release Ruler for Langflow: marked at its Tested release date on the timeline of every AI model we track.

At a glance

Evidence
Tested (smoke test)
Released
Oct 26, 2026
Last verified
Oct 26, 2026
Pricing
Partly verified
Best for
agent building

Evidence and ranking

Evidence behind this verdict

  1. Sources read2 cited sources, latest fetched Oct 25, 2026. (done)
  2. Facts re-checkedLast verified Oct 26, 2026. (done)
  3. Run by usSmoke test on Oct 26, 2026 (scope below). (done)

Passed Test log result: Passed. Read the log

Where we rank it (editorial)

Listed here but not yet ranked. Ranks are editorial picks, not benchmark scores.

Pricing: No pricing page read. (checked 2026-10-25)

Our verdict

MIT-licensed visual builder for AI agents and MCP servers with a very large GitHub following.

Good for

  • Visual prototyping of RAG and agents
  • Exposing flows as MCP servers

Skip if

  • You want code-first control only

Tested. Tested 2026-10-26 (America/Chicago). Langflow 1.13.0 installed in 19.76 s (1.7 GB) and its backend was healthy 91.5 s after launch, serving 26 starter flows and 416 components. Test environment: Linux x86_64 virtual machine (Debian 13), 8 vCPU, 15 GiB RAM, no GPU; no vendor account, login or API key. No language model was involved in this test. Not tested: Building or running any flow, including a flow that calls a model; The visual editor: we ran the backend only; Langflow's hosted or desktop offerings and deployment; Start-up time on an idle machine: ours was heavily shared. These are smoke tests, not a benchmark. Full log: /tests/langflow.

Full test log with exact commands, versions and raw output: Langflow langflow 1.13.0: our test log.

Evidence
Tested (smoke test, 2026-10-26, no LLM involved). A smoke test is not a benchmark.
What we ran
Langflow 1.13.0 installed in 19.76 s (1.7 GB) and its backend was healthy 91.5 s after launch, serving 26 starter flows and 416 components.
Model used
none (no language model was involved)
Environment
Linux x86_64 virtual machine (Debian 13), 8 vCPU, 15 GiB RAM, no GPU; no vendor account, login or API key
Not tested
Building or running any flow, including a flow that calls a model; The visual editor: we ran the backend only; Langflow's hosted or desktop offerings and deployment; Start-up time on an idle machine: ours was heavily shared.
Date
(America/Chicago)

Best for

Key facts

Langflow's site calls it a low-code builder for agentic and RAG applications that can deploy agents and MCP servers. The repository is MIT-licensed with dev builds of v1.14.0 published at the end of October 2026.

  • License: MIT (per GitHub)
  • Platforms: Self-hosted and desktop (details not read)
  • Pricing model: Open source
  • Free tier: Free to self-host
  • Paid plans: Hosted pricing not read
  • GitHub: langflow-ai/langflow: 156,021 stars on 2026-10-25, last push 2026-10-26
  • Latest release we saw: 2026-10-26
  • How to start: Install Langflow with pip or uv and open the local canvas per the docs.
  • Latest release we saw (2026-10-26): the newest release listed on the official page or repository when we read it on 2026-10-25.

How to set it up: Get started with Langflow

These steps come from the vendor's own pages as read on 2026-10-25. We have not run Langflow.

  1. Get access

    Install Langflow with pip or uv and open the local canvas per the docs.

  2. Check the limits and costs first

    Free to self-host. Paid: Hosted pricing not read. No pricing page read.

Pros and cons

Pros

  • MIT license
  • Visual canvas

Cons

  • Hosted pricing not read

Alternatives and comparisons

  • Dify: Open-source platform for building LLM apps and agent workflows with a visual canvas; licensed under a modified Apache 2.0 with extra conditions.
  • Flowise: Open-source drag-and-drop builder for LLM flows and agents; GitHub marks the main repository as archived with its last push in Aug 2026.
  • n8n: Fair-code workflow automation with 400+ integrations and native AI agent features; self-host or cloud.
  • Botpress: Customer-support AI agent platform with a free plan and conversation-based paid plans.

FAQ

What is Langflow?

Langflow's site calls it a low-code builder for agentic and RAG applications that can deploy agents and MCP servers. The repository is MIT-licensed with dev builds of v1.14.0 published at the end of October 2026.

Is Langflow free?

Free to self-host. Paid: Hosted pricing not read. No pricing page read. Checked 2026-10-25; prices change, so confirm on the vendor's page.

What license is Langflow under?

Its license: MIT (per GitHub). Read from the project's own pages on 2026-10-25.

What we have not verified

  • Hosting options and prices

Sources

Last verified · Agentic Weekly

  • Botpress: Customer-support AI agent platform with a free plan and conversation-based paid plans.
  • Gumloop: Agent builder for teams; plans start at $37 per month with 20k included credits.
  • Lindy: AI 'employee' builder that connects to your tools; Free plan with $50 in credits that last 7 days, then credit-based plans.

How to cite this page

Agentic Weekly, "Langflow: what's new, verdict & setup", last updated 2026-10-26, https://theagenticweekly.com/tools/langflow

Keep the Reported or Tested label when you quote a verdict. Plain-text version: https://theagenticweekly.com/tools/langflow.md. More for AI assistants: /ai, /tools.json, /llms.txt.