Langflow 1.11 just released!
gradient
  1. Home  /

  2. Blog  /

  3. Langflow 1.10 Desktop is now available

Langflow 1.10 Desktop is now available

Langflow Dev Team

Written by Langflow Dev Team

June 18, 2026

Langflow Desktop 1.10 is now available.

For the new 1.10 features, see the Langflow 1.10 blog post.

If you are already using Langflow Desktop, upgrade in the application to version 1.10.

To install Langflow Desktop for the first time, visit Download Langflow Desktop.


Similar Posts

Langflow 1.11.0: Multi-Vector Retrieval is Here with NextPlaid

Langflow Dev Team

Written by Langflow Dev Team

July 23, 2026

Langflow 1.11.0 ships first-class multi-vector retrieval with the lfx-nextplaid extension bundle—ColBERT-style late interaction and ColPali-style visual document retrieval out of the box.

Langflow 1.11 released: Human-in-the-Loop, A2A protocol support, AG-UI streaming, and more

Langflow 1.11 released: Human-in-the-Loop, A2A protocol support, AG-UI streaming, and more

Langflow Dev Team

Written by Langflow Dev Team

July 22, 2026

Langflow 1.11 adds Human-in-the-Loop checkpoints, A2A protocol support, AG-UI streaming for the Workflow API, and more.

Langflow 1.10 released: Assistant flow building, Memory bases, DB Providers, internationalization, and more

Langflow 1.10 released: Assistant flow building, Memory bases, DB Providers, internationalization, and more

Langflow Dev Team

Written by Langflow Dev Team

June 9, 2026

Langflow 1.10 expands Langflow Assistant to build entire flows, introduces Memory bases for long-term semantic memory, adds configurable vector database backends, brings the interface to seven languages, and more.

Scaling Langflow: Unlocking Massive Memory Savings and Bulletproof Reliability

Scaling Langflow: Unlocking Massive Memory Savings and Bulletproof Reliability

Langflow Dev Team

Written by Langflow Dev Team

June 9, 2026

The Langflow engineering team breaks down a comprehensive package of memory and stability enhancements spanning v1.9.0 through v1.10.0—achieving an ~89% reduction in memory consumption through dependency pruning, worker lifecycle management, and advanced Linux Copy-on-Write techniques.