Langflow Extensions overview
Langflow ships component bundles that are maintained and released separately from the core Langflow server as Extensions.
Instead of every integration being built into langflow, each bundle is its own pip-installable package, such as lfx-duckduckgo or lfx-arxiv.
When you run uv pip install langflow, you install:
- All Langflow core components
- All bundles that ship as dependencies of the
langflowmetapackage
Some bundles that were previously included in langflow are moved into standalone packages.
The langflow metapackage adds them as regular pip dependencies, so pip install langflow continues to include them.
Current Extension bundles
The following Extension bundles are included with uv pip install langflow:
| Package | Bundle | Components |
|---|---|---|
lfx-arxiv | arXiv | arXiv search |
lfx-docling | Docling | Document parsing and chunking |
lfx-duckduckgo | DuckDuckGo | Web search |
lfx-ibm | IBM | IBM watsonx.ai LLM and embeddings, IBM Db2 Vector Store |
The internal identifier for each component changes.
For example, a DuckDuckGo component previously referenced as a DuckDuckGoSearchComponent class is now ext:duckduckgo:DuckDuckGoSearchComponent@official.
Langflow rewrites these references automatically when you open a saved flow, so in most cases the migration is invisible.
If a component is missing after an upgrade
If you open a flow and a node shows an error like component-not-found, it means the automatic migration couldn't resolve the component reference.
This can happen when:
- The bundle the component came from was not installed in the upgraded environment.
- The component was referenced by a name that appears in more than one bundle (
component-name-ambiguous).
In both cases the error message includes a hint that names the expected canonical ID. For example:
_10component-not-found-with-hint: DuckDuckGoSearchComponent not found._10Hint: try ext:duckduckgo:DuckDuckGoSearchComponent@official
Use the bundle name from the hint, such as duckduckgo in this example, to find and install the correct extension package, and then reload the flow.
Install a bundle extension
If a bundle you need is not included in your Langflow environment, install it with pip:
_10uv pip install lfx-duckduckgo_10uv run langflow run
Langflow discovers the package at server startup and loads the components into the palette automatically. No additional configuration is required.
To see what extensions are currently loaded, run:
_10lfx extension list
Build your own extension
If you have custom components that you want to distribute and version independently of your Langflow install, you can package them as an extension.
For more information, see Build your first Langflow Extension.
