Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
ea6bbc7666* publish-pane * export-flow * update-publish-page-for-input-schema * input-schema * mcp-one-click-install * release-notes * models-components-page * components-updates * url-example * embedding-model-example * models * release-notes * data-components-new-intro * docs: update data components section for clarity and detail * move-batch-run * add-sql-component-example * type-convert * anchor * type-convert-and-web-search-example * fix-broken-links * overview-and-screenshots * playground-componente-and-overview * import-and-export-flows * fix-build-error * move-em-and-em-bundled-components * links-to-embeddings * smart-filter * python-repl * processing-done * screenshot-for-python-interpreter * message-history-component * include-imports * merge-conflict * fix: update link in memories documentation and add icon import to API example * move-agent-components * starter-flow-updates * components-and-overview * fix-links * api-pane-screenshot * quickstart * link * merge-conflicts-builds-successfully * add-document-analysis-metadata * Apply suggestions from code review Co-authored-by: KimberlyFields <46325568+KimberlyFields@users.noreply.github.com> * docs-review * release-notes * broken-links * add-language-model-output-example-andupdate-screenshot * add-auth-to-release-notes * replace-astra-chat-memory * move-memories-to-bundles * component-screenshots * component-screenshots * Apply suggestions from code review Co-authored-by: April I. Murphy <36110273+aimurphy@users.noreply.github.com> * clarify-global-env-with-export * further-explanation * docs-review * Add LLM Router component documentation and image * remove-text-summarizer-example * multiple-mcp-clients * update-mcp-tools-client-use * export-flow-api-keys * uncomment-prompts-and-fix-build-error * docs-review * bundles-and-embeddings-docs-review * language-model-docs-review * restore-see-alsos * Apply suggestions from code review Co-authored-by: April I. Murphy <36110273+aimurphy@users.noreply.github.com> * mcp-autoinstall * template-explanations * Apply suggestions from code review Co-authored-by: April I. Murphy <36110273+aimurphy@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: KimberlyFields <46325568+KimberlyFields@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: April I. Murphy <36110273+aimurphy@users.noreply.github.com> * release-notes * Apply suggestions from code review Co-authored-by: April I. Murphy <36110273+aimurphy@users.noreply.github.com> * fix-links * mcp-settings-page * Apply suggestions from code review Co-authored-by: April I. Murphy <36110273+aimurphy@users.noreply.github.com> * update-actions-to-tools * cleanup-mcp-nomenclature * Update docs/docs/Support/release-notes.md * output-type-selection * replace-changelog-with-release-notes * cleanup * input-schema-name-endpoint --------- Co-authored-by: KimberlyFields <46325568+KimberlyFields@users.noreply.github.com> Co-authored-by: April I. Murphy <36110273+aimurphy@users.noreply.github.com> |
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| CODE_OF_CONDUCT.md | ||
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| LICENSE | ||
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| README.md | ||
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Caution
Users must update to Langflow >= 1.3 to protect against CVE-2025-3248.
Langflow is a powerful tool 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.
⚡️ Quickstart
Langflow requires Python 3.10 to 3.13 and uv.
- To install Langflow, run:
uv pip install langflow -U
- To run Langflow, run:
uv run langflow run
- Go to the default Langflow URL at
http://127.0.0.1:7860.
For more information about installing Langflow, including Docker and Desktop options, see Install Langflow.
📦 Deployment
Langflow is completely open source and you can deploy it to all major deployment clouds. To learn how to use Docker to deploy Langflow, see the Docker deployment guide.
⭐ Stay up-to-date
Star Langflow on GitHub to be instantly notified of new releases.
👋 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.