Best Open Source AI Development Platforms

Open-source observability platform for LLMs using OpenTelemetry. Monitor performance, track costs, and debug AI applications with just 2 lines of code.

Open-source LLMOps platform providing prompt management, evaluation, and observability tools for building robust AI applications with team collaboration.

Integrate graph AI into your products to extract valuable insights and reduce costs from your data.

Execute AI-generated code safely with 90ms sandbox creation, isolated environments, and enterprise-grade security. Perfect for AI agents and development workflows.

Run AI workloads with sub-second cold starts, elastic GPU scaling, and secure sandboxed environments. Scale to zero when idle, burst to thousands instantly.

Open-source vector database optimized for similarity search, scaling to billions of vectors with minimal performance loss

Qdrant is an open-source vector database that provides high-performance similarity search for AI and machine learning applications.

Open source platform for building AI agents, chatbots, and LLM workflows using visual drag-and-drop interface. No coding required for rapid prototyping.

Provide AI agents with secure, isolated sandboxes featuring real-world tools, code execution, and enterprise-grade security. Trusted by 88% of Fortune 100 companies.