Mendon Kissling 421d895237 docs: 1.7 release branch (#10081)
* langflow-webhook-auth-enable

* add-not-contains-filter-operator

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* docs: add jq and path selection to data operations (#10083)

add-jq-and-path-to-data-operations

* smart transform historical names

* change back to smart transform

* jq expression capitalization/package name

* small edit for clarity of not contains operator

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Co-authored-by: April I. Murphy <36110273+aimurphy@users.noreply.github.com>

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* docs: screenshot audit (#10166)

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* docs: auto-add projects as MCP servers  (#10096)

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* Apply suggestion from @aimurphy

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* Apply suggestion from @aimurphy

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Co-authored-by: Edwin Jose <edwin.jose@datastax.com>

* docs: amazon bedrock converse (#10289)

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* Update docs/docs/Components/bundles-amazon.mdx

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* docs 1.7 release: add mock data component (#10288)

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* docs: update custom component docs (#10323)

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* completed-quickstart

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* docs: add cometapi back for 1.7 release (#10445)

* add-comet-bundle-back-for-1.7

* add-comet-to-release-notes

* docs: add back docling remote vlm for release 1.7 (#10489)

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* docs: ALTK component (#10511)

* broken-anchor

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* move-note-to-table

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* docs: dynamic create data component (#10517)

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* docs: cuga component bundle (#10589)

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* docs: remove docling vlm component from 1.7 release branch (#10630)

remove-vlm-component

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* docs: OpenAPI spec version upgraded from 1.6.5 to 1.6.8 (#10627)

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* up to models and agents

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* chore: Fix indentation on bundles-docling.mdx (#10640)

* sidebars

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* docs: combined web search component (#10664)

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* leave-old-release-note-but-remove-link

* docs: add altk reflection component (#10660)

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* docs: mcp streamable http client (#10621)

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* docs: add cuga decomposition strategy as advanced parameter (#10672)

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* docs: datastax bundles page (#10686)

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* docs: llm router changed to llm selector (#10663)

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* docs: log alembic to stdout (#10711)

* docs-alembic-log-env-var

* cleanup

* remove-legacy-component-link

* docs: configure s3 for file storage backend (#10678)

* configure-file-storage-s3

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* clarify-s3-credentials

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* fix-parse-error

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* docs: clarify docling components (#10722)

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* component-name

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* docs: legacy processing components for 1.7 (#10661)

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* add-back-dynamic-create-data

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* docs: remove dataframe to toolset component (#10854)

remove-df-to-toolset-component

* docs: clarify superuser flow run behavior (#10865)

superuser-clarification

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more-composio-components

* docs: additional dependencies for running Docling in Linux-based Docker environments (#10861)

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* docs: change component h3 headings to h2 (#10886)

bump-headings

* docs: include webhook request example with auth (#10885)

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* docs: configurable api key validation (#10882)

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* docs: langflow server supports streamable http (#10891)

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* remove-delete-endpoint-for-legacy

* Revert "docs: langflow server supports streamable http (#10891)"

This reverts commit e1dbefc21d.

* docs: new registration endpoints, email form, and telemetry events (#10816)

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* docs: more info on smart router component (#10916)

* continue-example

* remove-duplicate-info

* match-by-route-name

* docs: sidebars release notes (#10949)

* move-to-support-section

* support

* docs: update comet api component parameters (#10950)

update-parameters

* docs: mcp server streamable http (#10955)

* content

* transport

* add-back-webhook-env-var

* Update docs/docs/Components/bundles-cuga.mdx

* docs: use bootstrap instead of deprecated launchctl load (#10951)

use-bootstrap-and-semicolons

* docs: lfx serve and lfx run (#10498)

* add-content

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* partial-for-dependencies

* clarify-api-key-and-uvx

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* docs: authorization changes (#10992)

* files-superuser

* get-config-endpoint-requires-api-key

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* remove-parentheticals

* docs: custom components input types (#11027)

* io-links-and-update-paths

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* docs: cuga bundle updates (#10998)

* change-policies-to-instructions

* new-screenshot

* Apply suggestions from code review

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* files-when-knowldge-is-not-enabled

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revert-lfx

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Langflow logo

Release Notes PyPI - License PyPI - Downloads Twitter YouTube Channel Discord Server Ask DeepWiki

Langflow is a powerful platform for building and deploying AI-powered agents and workflows. It provides developers with both a visual authoring experience and built-in API and MCP servers that turn every workflow into a tool that can be integrated into applications built on any framework or stack. Langflow comes with batteries included and supports all major LLMs, vector databases and a growing library of AI tools.

Highlight features

  • Visual builder interface to quickly get started and iterate.
  • Source code access lets you customize any component using Python.
  • Interactive playground to immediately test and refine your flows with step-by-step control.
  • Multi-agent orchestration with conversation management and retrieval.
  • Deploy as an API or export as JSON for Python apps.
  • Deploy as an MCP server and turn your flows into tools for MCP clients.
  • Observability with LangSmith, LangFuse and other integrations.
  • Enterprise-ready security and scalability.

🖥️ Langflow Desktop

Langflow Desktop is the easiest way to get started with Langflow. All dependencies are included, so you don't need to manage Python environments or install packages manually. Available for Windows and macOS.

📥 Download Langflow Desktop

Quickstart

Requires Python 3.103.13 and uv (recommended package manager).

Install

From a fresh directory, run:

uv pip install langflow -U

The latest Langflow package is installed. For more information, see Install and run the Langflow OSS Python package.

Run

To start Langflow, run:

uv run langflow run

Langflow starts at http://127.0.0.1:7860.

That's it! You're ready to build with Langflow! 🎉

📦 Other install options

Run from source

If you've cloned this repository and want to contribute, run this command from the repository root:

make run_cli

For more information, see DEVELOPMENT.md.

Docker

Start a Langflow container with default settings:

docker run -p 7860:7860 langflowai/langflow:latest

Langflow is available at http://localhost:7860/. For configuration options, see the Docker deployment guide.

Caution

  • Langflow versions 1.6.0 through 1.6.3 have a critical bug where .env files are not read, potentially causing security vulnerabilities. DO NOT upgrade to these versions if you use .env files for configuration. Instead, upgrade to 1.6.4, which includes a fix for this bug.
  • Windows users of Langflow Desktop should not use the in-app update feature to upgrade to Langflow version 1.6.0. For upgrade instructions, see Windows Desktop update issue.
  • Users must update to Langflow >= 1.3 to protect against CVE-2025-3248
  • Users must update to Langflow >= 1.5.1 to protect against CVE-2025-57760

For security information, see our Security Policy and Security Advisories.

🚀 Deployment

Langflow is completely open source and you can deploy it to all major deployment clouds. To learn how to deploy Langflow, see our Langflow deployment guides.

Stay up-to-date

Star Langflow on GitHub to be instantly notified of new releases.

Star Langflow

👋 Contribute

We welcome contributions from developers of all levels. If you'd like to contribute, please check our contributing guidelines and help make Langflow more accessible.


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Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
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