I've been building Abenix — an open-source multi-agent platform — in the open for the last few months. MIT-licensed, runs on Kubernetes (or docker-compose for laptop dev), and ships with five fully-built apps on top of it so you can see what a real agent platform looks like end-to-end. Single command brings up the whole stack: bash scripts/dev-local.sh # laptop, ~5-7 min bash scripts/deploy-azure.sh deploy # AKS, ~35 min 👉 github.com/sarkar4777/abenix — MIT, Python + TS + Java SDKs, KEDA-scaled, Postgres + Neo4j + Redis + NATS, 12 container images, 5 showcase apps. Enter fullscreen mode Exit fullscreen mode Before the technical bits, the question I keep getting asked: why build this when n8n / LangChain / CrewAI / Dify / Flowise exist? It's a fair question and the answer is genuinely positive — every one of those projects is amazing at what they target, and Abenix would not exist without LangChain demonstrating what an agent loop can be. So this post is the build journal, not a comparison fight.…