I spent 5 weeks building an open-source multi-agent orchestrator. The hard part wasn't the agents — it was the memory.

This is the launch post in a series on building Praxia, an Apache-2.0 multi-agent orchestrator. Later posts go deep on the TiDB Vector memory backend and a Japanese-specialized STT integration.

TL;DR

This spring I built and shipped Praxia, a multi-agent orchestrator OS, from scratch in about 5 weeks of nights and weekends (Apache-2.0).

The differentiator is automatic personal → organizational memory promotion. The "prompts that actually work," which a senior engineer painstakingly tunes, usually stay locked in that one person's head. Praxia tries to solve that with a 5-layer memory stack + a 3-path promotion engine.

What I actually started — the decision