Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
http://www.langflow.org
2d5c559261* Add comprehensive coverage check workflow Created a dedicated workflow that runs code coverage before PR approval: 🚀 Coverage Runs Early: - Triggers: Push to branches + PR events (opened, sync, ready_for_review) - Smart filtering: Only runs when backend code changes - Fast feedback: Unit tests only for quick coverage results 📊 Comprehensive Reporting: - CodeCov integration with proper flags and naming - PR comments with coverage status and links - Workflow summary with coverage percentage - Coverage artifacts (XML + HTML) saved for review ⚡ Intelligent Execution: - Path filtering: src/backend/**, pyproject.toml, uv.lock - Branch filtering: main, develop, feature/**, fix/**, hotfix/** - Draft protection: Skips draft PRs - Dynamic naming: Different names for push vs PR contexts 🎯 Benefits: - Developers get immediate coverage feedback on push - Reviewers see coverage context during PR review - Coverage issues caught before approval, not after - Continuous monitoring of coverage trends across branches This replaces the previous "coverage after approval" approach with "coverage before approval" - exactly what was requested! 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * Remove all restrictions from coverage workflow - Coverage now runs on ANY push to ANY branch - Coverage runs on ANY PR with ANY changes - No path filtering - runs regardless of what files changed - No branch filtering - runs on all branches - Ensures coverage runs on every PR as requested * move test to be run when we submit pr * Configure CI to run tests before PR approval - Remove 'lgtm' label requirement from CI trigger - Run tests immediately on PR opened/synchronized events - Add ci.yml to path filters to trigger tests when workflow changes - Coverage and tests now run before approval for early feedback 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * add labeled --------- Co-authored-by: Claude <noreply@anthropic.com> |
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Caution
- Users must update to Langflow >= 1.3 to protect against CVE-2025-3248
- Users must update to Langflow >= 1.5.1 to protect against CVE-2025-57760
For security information, see our Security Policy and Security Advisories.
Langflow is a powerful tool for building and deploying AI-powered agents and workflows. It provides developers with both a visual authoring experience and built-in API and MCP servers that turn every workflow into a tool 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 interface to quickly get started and iterate .
- Source code access lets you customize any component using Python.
- Interactive playground to immediately test and refine your flows with step-by-step control.
- Multi-agent orchestration with conversation management and retrieval.
- Deploy as an API or export as JSON for Python apps.
- Deploy as an MCP server and turn your flows into tools for MCP clients.
- Observability with LangSmith, LangFuse and other integrations.
- Enterprise-ready security and scalability.
⚡️ Quickstart
Langflow requires Python 3.10 to 3.13 and uv.
- To install Langflow, run:
uv pip install langflow -U
- To run Langflow, run:
uv run langflow run
- Go to the default Langflow URL at
http://127.0.0.1:7860.
For more information about installing Langflow, including Docker and Desktop options, see Install Langflow.
📦 Deployment
Langflow is completely open source and you can deploy it to all major deployment clouds. To learn how to use Docker to deploy Langflow, see the Docker deployment guide.
⭐ 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.