* refactor: Update Simple Agent configuration and enhance tool integration - Changed source and target handles to improve data flow between components. - Updated input types for better compatibility with new data structures. - Enhanced tool metadata and descriptions for clarity. - Adjusted layout dimensions and properties for improved UI consistency. - Updated agent and tool identifiers to reflect recent changes in the system. * refactor: Update Invoice Summarizer project configuration and component identifiers - Changed component IDs and source/target handles for improved data flow. - Updated tool and agent identifiers to align with recent system changes. - Adjusted layout properties and descriptions for better clarity and consistency. - Enhanced metadata for tools and components to facilitate better integration. * refactor: Update Pokédex Agent configuration and component identifiers - Changed component IDs and source/target handles to enhance data flow. - Updated input types and tool identifiers for improved compatibility with recent system changes. - Enhanced layout properties and descriptions for better clarity and consistency. - Adjusted metadata for tools and components to facilitate better integration. * refactor: Update Search Agent configuration for improved compatibility - Removed input types for the OpenAI API Key to streamline configuration. - Added new model options including "gpt-4.1", "gpt-4.1-mini", and "gpt-4.1-nano" for enhanced flexibility. - Updated default model value to "gpt-4.1" for better alignment with current capabilities. * refactor: Update Financial Agent configuration and component identifiers - Changed component IDs and source/target handles to enhance data flow. - Updated tool and agent identifiers for improved compatibility with recent system changes. - Adjusted layout properties and descriptions for better clarity and consistency. - Enhanced metadata for tools and components to facilitate better integration. * refactor: Update Gmail Agent configuration for improved model options - Removed input types for the OpenAI API Key to streamline the configuration. - Added new model options including "gpt-4.1", "gpt-4.1-mini", "gpt-4.1-nano", and "o1" for enhanced flexibility. - Updated default model value to "gpt-4.1" for better alignment with current capabilities. * refactor: Update Invoice Summarizer project configuration for improved clarity - Standardized formatting of source and target handles for consistency. - Adjusted score representation for better readability. - Removed unnecessary hidden properties to streamline configuration. - Enhanced metadata for components to facilitate better integration. * refactor: Standardize source and target handles in agent configurations - Updated formatting of source and target handles in both Pokédex and Simple Agent configurations for improved consistency. - Removed unnecessary hidden properties to streamline the configuration. - Enhanced metadata for components to facilitate better integration and clarity. * refactor: Streamline OpenAI API Key configuration and enhance model options - Removed input types for the OpenAI API Key to simplify the configuration. - Added new model options including "gpt-4.1", "gpt-4.1-mini", "gpt-4.1-nano", and "o1" for increased flexibility. - Updated default model value to "gpt-4.1" for better alignment with current capabilities. * refactor: Simplify OpenAI API Key configuration and expand model options - Removed input types for the OpenAI API Key to streamline the configuration. - Added new model options "gpt-4.1", "gpt-4.1-mini", "gpt-4.1-nano", and "o1" for enhanced flexibility. - Updated default model value to "gpt-4.1" for better alignment with current capabilities. * refactor: Update YouTube Analysis project configuration for improved model options - Removed input types for the OpenAI API Key to simplify the configuration. - Added new model options "gpt-4.1", "gpt-4.1-mini", "gpt-4.1-nano", and "o1" for enhanced flexibility. - Updated default model value to "gpt-4.1-mini" for better alignment with current capabilities. * fix: update tools in Travel Planning Agents * update mutateTemplate to be debounced by nodeId * update fetch data on mount to fetch node data if its tool mode * Update mutateTemplate instances to contain nodeId * update starter projects to use gpt-4.1-mini model * fix: update test expectation for Portfolio Website Code Generator --------- Co-authored-by: Lucas Oliveira <lucas.edu.oli@hotmail.com> Co-authored-by: Lucas Oliveira <62335616+lucaseduoli@users.noreply.github.com> |
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| .github | ||
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| deploy | ||
| docker | ||
| docker_example | ||
| docs | ||
| scripts | ||
| src | ||
| test-results | ||
| .composio.lock | ||
| .env.example | ||
| .eslintrc.json | ||
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| .pre-commit-config.yaml | ||
| CODE_OF_CONDUCT.md | ||
| CONTRIBUTING.md | ||
| DEVELOPMENT.md | ||
| eslint.config.js | ||
| LICENSE | ||
| Makefile | ||
| pyproject.toml | ||
| README.md | ||
| render.yaml | ||
| uv.lock | ||
Langflow is a powerful tool for building and deploying AI-powered agents and workflows. It provides developers with both a visual authoring experience and a built-in API server that turns every agent into an API endpoint 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 to get started quickly and iterate.
- Access to Code so developers can tweak any component using Python.
- Playground to immediately test and iterate on their flows with step-by-step control.
- Multi-agent orchestration and conversation management and retrieval.
- Deploy as an API or export as JSON for Python apps.
- Observability with LangSmith, LangFuse and other integrations.
- Enterprise-ready security and scalability.
⚡️ Quickstart
Langflow works with Python 3.10 to 3.13.
Install with uv (recommended)
uv pip install langflow
Install with pip
pip install langflow
📦 Deployment
Self-managed
Langflow is completely open source and you can deploy it to all major deployment clouds. Follow this guide to learn how to use Docker to deploy Langflow.
Fully-managed by DataStax
DataStax Langflow is a full-managed environment with zero setup. Developers can sign up for a free account to get started.
⭐ 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.