Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
68546e06e4* ✨ (Research Translation Loop.spec.ts): Increase timeout value by a factor of 3 for better reliability in waiting for element to appear ✨ (chatInputOutputUser-shard-1.spec.ts): Increase timeout value by a factor of 3 for better reliability in waiting for element to appear * 🐛 (typescript_test.yml): adjust the maximum shard count to 10 to prevent exceeding the limit and optimize test execution. * 🐛 (chatInputOutputUser-shard-1.spec.ts): increase timeout for waiting for "built successfully" text to improve test reliability * ⬆️ (typescript_test.yml): increase maximum shard count to 15 for better test distribution ♻️ (Portfolio Website Code Generator.spec.ts): refactor test assertions to improve readability and maintainability * 🐛 (typescript_test.yml): adjust the maximum shard count to 10 to prevent exceeding the limit of parallel test executions * 🔧 (typescript_test.yml): Increase maximum shard count to 15 for better test distribution efficiency 🐛 (chatInputOutputUser-shard-1.spec.ts): Update timeout values for page element waits to prevent premature failures due to timing issues * templates adjustments * travel planning fix * Update Travel Planning Agents.json * fix templates * ♻️ (Youtube Analysis.spec.ts): remove unused imports and cleanup code for better readability and maintainability * json fix * fix: update simple agent template (#7081) * Update Simple Agent.json * Update Simple Agent.json * feat: update search agent template agent component (#7082) * update agent component with the latest changes * Update Search agent.json * Update Search agent.json * 📝 (ContentBlockDisplay.tsx): wrap headerIcon element in a span with data-testid attribute for better accessibility 📝 (DurationDisplay.tsx): add data-testid attribute to the duration display element for testing purposes 📝 (Simple Agent.spec.ts, Social Media Agent.spec.ts, generalBugs-shard-9.spec.ts): update test assertions to improve readability and accuracy 📝 (chatInputOutput.spec.ts): add a skip test annotation and a todo comment for further investigation * add shard 20 * back to 10 shards * 📝 (tests): add skip tests with TODO comments to understand behavior for Simple Agent, Social Media Agent, Vector Store, files-page, and userSettings tests. * ✅ (publish-flow.spec.ts): skip test and add a TODO comment to understand the behavior ✅ (files-page.spec.ts): skip test and add a TODO comment to understand the behavior --------- Co-authored-by: Edwin Jose <edwin.jose@datastax.com> |
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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.