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Internal build, AI knowledge systems · AI infrastructure

A multi-agent AI system that never forgets

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case
context

The situation

The brief was to design and build a personal AI operating system: multiple distinct AI agents, each with a specific role, all drawing on one shared memory rather than starting from zero in every conversation.

work

What we did

The architecture runs on self-hosted infrastructure, n8n, a vector database and Postgres, all in Docker on a cloud VPS, ingesting events from more than ten sources continuously. Four distinct agents were built as genuinely separate entities sharing one memory backend, with a hard rule that knowledge is never silently deleted, only removed through a deliberate manual admin action. The whole system is reachable through a simple chat interface rather than a dashboard.

result

Result

A working multi-agent memory system built from open infrastructure rather than a single vendor's black box, with a six-phase build plan guiding the rollout in stages.

stack

Stack

n8nvector databasePostgresDockercloud VPS

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