- Deploy on your cloud, VPC, or even OnPrem
- No-code, Low-code and LangChain-based Framework
- AI Agents Libraries and Templates
CloudGeometry provides end-to-end support for platform deployment, maintenance, and AI Agent adoption through our managed services plans
Unified in the LangBuilder AIAgent Platform to enable step-by-step, accurate AI Agent adoption in your business processes
- Visual Editor and Workflow Designer
An intuitive, no-code drag-and-drop IDE for business users and project managers to quickly prototype and validate AI workflows
- Prebuilt connectors to popular and domain specific data sources, and APIs
- Choose your own LLM: OpenAI/Claude/Bedrock/Gemini and local Mistral/LLaMA/Falcon/++
- RAG pipelines and Vector DBs for adding your business internal and domain knowledge
- Playground mode for fast experimentation and concept validation before scaling
- Access controls and roles for secure collaboration
- Reusable agent templates—e.g., for customer support, copilots, process automation, and other common use cases
Based on the popular LangFlow OpenSource project with CloudGeometry AddOns enabling you to continuously run those AI Agents for your company's internal processes.
- Programmable AI Agent Framework
For LLM developers to extend agents with custom logic, integrations, and advanced orchestration
- LangChain Expression Language (LCEL) for precise, expressive orchestration logic
- Prebuilt components and primitives
- Full support for memory integration, including short-term session and long-term memory out of the box
- Multi‑agent orchestration; use handoffs or supervisor/swarm patterns for complex workflow
- Rich API layer, including Control Plane & Data Plane APIs
- Robust concurrency and reliability
Based on the popular LangChain open source project framework and LangFlow builder, with CloudGeometry AddOns enabling a seamless transition from rapid prototyping to enterprise ready and secure agents
- AI Agent Deployment & Management Platform
For operations teams and business analysts who need production-ready tools for AI powered processes governance, cost optimization, and continuous improvement
- Cloud deployment with built-in CI/CD
- Built-in task queues and auto-scaling
- Checkpointers and memory storage
- Scalability and fault tolerance
- AI Quality Control AddOns
- Cost Control, Cloud, Data, Tokens
- Human‑in‑the‑loop support—pause workflows for manual intervention at any stage
Based on the popular open source projects LangGraph and Kubernetes with CloudGeometry components for quick deployment, observability and cost control.
LangBuilder 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. LangBuilder comes with batteries included and supports all major LLMs, vector databases and a growing library of AI tools.
- 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.
LangBuilder requires Python 3.10 to 3.13 and uv.
- To install LangBuilder, run:
uv pip install langflow -U- To run LangBuilder, run:
uv run langflow run- Go to the default LangBuilder URL at
http://127.0.0.1:7860.
For more information about installing LangBuilder, including Docker and Desktop options, see Install Langflow.
LangBuilder is completely open source and you can deploy it to all major deployment clouds. To learn how to use Docker to deploy LangBuilder, see the Docker deployment guide.
Star LangBuilder on GitHub to be instantly notified of new releases.
We welcome contributions from developers of all levels. If you'd like to contribute, please check our contributing guidelines and help make LangBuilder more accessible.