Contextlab OS

Behind Contextlab

Building Context Engineering in Public.

Why Contextlab exists

Today's AI workflows are drowning in one-shot prompts — lost when a tab closes, hard to share, impossible to audit.

We believe the problem isn't the model, it's the context. Even a world-class model fails without the right context.

Contextlab was created to turn prompts into reusable knowledge that teams, agents, and products can rely on.

Our vision: become the context layer for modern AI systems.

Short prompts, rich context. The platform does the rest.

Every AI decision is backed by sources, rules, and memory.

Prompts are stored as structured knowledge, not notes.

Every piece of context is reusable across tools.

Works across providers — you stay in control.

Workspaces are private. Memory never trains public models.

We write about product decisions, challenges, and progress in the open.

Founder

Fajar Tri

AI Product Engineer

Building AI tooling for teams that treat context as a first-class asset.

Vision

Become the Context Layer for modern AI systems.