Multi-Agent Developer Stack

Build teams of AI agents that collaborate on complex tasks — each with a role, tools, and goals. The multi-agent framework developers use to tackle work that requires more than one model pass.

Build multi-agent pipelines where AI agents converse, execute code, and solve problems collaboratively. Microsoft Research's framework for applications that need more than a single model call.

Debug, trace, and evaluate LangChain applications in production — see every LLM call with full context, run automated quality checks, and catch regressions before they reach users.

Run any open-source ML model via API — Stable Diffusion, Whisper, LLaMA, Flux, and thousands more — without managing GPUs or deployment infrastructure. Pay only for what you use.

Visual drag-and-drop builder for LLM apps — chatbots, RAG pipelines, and agent workflows without code. Open-source and self-hostable.