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* Upgrade Firecrawl components to firecrawl-py v2 + add Search component Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * Upgrade Firecrawl components to firecrawl-py v2 + add Search component Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * Upgrade Firecrawl components to firecrawl-py v2 + add Search component Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * Upgrade Firecrawl components to firecrawl-py v2 + add Search component Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * Upgrade Firecrawl components to firecrawl-py v2 + add Search component Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * Upgrade Firecrawl components to firecrawl-py v2 + add Search component Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * Upgrade Firecrawl components to firecrawl-py v2 + add Search component Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * docs: add Firecrawl Search API to the bundle page Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * [autofix.ci] apply automated fixes * fix(firecrawl): D205 docstring + defensive .get('data') in crawl Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * fix(firecrawl): D205 docstring in scrape Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * perf(firecrawl): use list.extend in map (PERF401) Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * test: add unit tests for Firecrawl v2 components Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * [autofix.ci] apply automated fixes * test: align Firecrawl component tests with lfx _attributes pattern Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * [autofix.ci] apply automated fixes * refactor(firecrawl): remove deprecated extract endpoint component Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * refactor(firecrawl): remove deprecated extract endpoint component Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * test: drop extract component test (extract endpoint removed) Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * docs: remove Firecrawl Extract API section (deprecated) Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> * [autofix.ci] apply automated fixes * fix(firecrawl): map Search component to Firecrawl icon, drop Extract The frontend icon map in styleUtils.ts still referenced the removed FirecrawlExtractApi and lacked the new FirecrawlSearchApi, so the Search node would not render the Firecrawl logo. * chore: regenerate component index for Firecrawl v2 (Search added, Extract removed) * refactor(firecrawl): extract components into the lfx-firecrawl extension bundle Port the firecrawl provider out of lfx.components into a standalone Extension Bundle at src/bundles/firecrawl (distribution: lfx-firecrawl), following src/bundles/PORTING.md: - Move the v2-SDK components (Scrape, Crawl, Map, Search) to src/bundles/firecrawl/src/lfx_firecrawl/components/firecrawl/ and remove the in-tree provider + its lfx.components registration. - Own the firecrawl-py>=4,<5 pin in the bundle; drop it from langflow-base. - Wire the workspace (root pyproject deps/sources/members) and uv.lock. - Append migration-table entries (bare name, both import paths, pre-a slot) for the four classes; FirecrawlExtractApi gets no entries since the v2 SDK removed the extract endpoint and the component was dropped. - Regenerate the component index (firecrawl category removed) and locales/en.json (54 firecrawl keys move out of core). - Bundle-local unit tests + test_pilot_firecrawl_upgrade integration test; update Dockerfile bundle enumeration comments. * fix(lfx): repair migration table entry fused during release-1.11.0 merge The release-1.11.0 back-merge collided the FirecrawlSearchApi legacy_slot entry with the NextPlaidVectorStoreComponent bare_class_name entry, mashing both into a single object with duplicate 'target' keys, populating two of {bare_class_name, import_path, legacy_slot}. That fails the MigrationTable validator (entries.51) and broke the lfx loader tests. Split it into the two intended entries so each populates exactly one key-field. Restores the FirecrawlSearchApi and NextPlaidVectorStoreComponent quads (60 entries total, +16 vs base). Append-only and bare-name guards pass. --------- Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com> Co-authored-by: Eric Hare <ericrhare@gmail.com>
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.
⚡️ Quickstart
Install locally (recommended)
Requires Python 3.10–3.14 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.
🛡️ Security
For security information, see our Security Policy.
🚀 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.
👋 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.