Langflow
by Community
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
OSS
Langflow
Added 1 June 2026
Overview
Langflow is a Python-based orchestration framework for building and deploying AI agents and workflows. It provides a visual interface and programmatic API for connecting language models, tools, and data sources into executable pipelines.
Best for
Best for
Developers building experimental or production LLM workflows who want visual design with code flexibility
Use cases
- Chaining multiple LLM calls with conditional logic and memory
- Prototyping multi-step agent workflows before production deployment
- Integrating external APIs and data sources into AI applications
Notes
Langflow is a Python-based orchestration framework for building and deploying AI agents and workflows. It provides a visual interface and programmatic API for connecting language models, tools, and data sources into executable pipelines.
149,019 stars on GitHub. Last updated 2026-06-01. Licensed MIT.
Use cases
- Chaining multiple LLM calls with conditional logic and memory
- Prototyping multi-step agent workflows before production deployment
- Integrating external APIs and data sources into AI applications
Pros
- Large active community with 149k GitHub stars and ongoing development
- Visual workflow builder reduces boilerplate for common orchestration patterns
- Open source with no vendor lock-in
Cons
- Requires Python expertise for custom components and deployment
- Community-maintained project without commercial support guarantees
- Learning curve for complex multi-agent scenarios
Indexed from awesome-langchain and enriched against its public facts.
Pros
- Large active community with 149k GitHub stars and ongoing development
- Visual workflow builder reduces boilerplate for common orchestration patterns
- Open source with no vendor lock-in
Cons
- Requires Python expertise for custom components and deployment
- Community-maintained project without commercial support guarantees
- Learning curve for complex multi-agent scenarios
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