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.

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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.…