Company context for AI agents.
Updated 2026-06-07 · Agent-readable markdown available
What AI agents need from company context before they can work reliably across a team.
AI agents need context that is current, source-linked, scoped, and short enough to act on. Ambience provides that company context layer.
- Agents need compact operational context, not full archives.
- Source-linked memories let agents cite and inspect the origin of a decision.
- Scopes and audit let teams trust context reuse.
The context an agent actually needs
Before editing code, replying to a customer, or drafting a plan, an agent needs the team's current decisions, constraints, conventions, and known failure modes.
Those facts are usually scattered. Ambience gives them a typed, retrievable form.
The prompt is not the system
Stuffing more text into a prompt is a temporary fix. Company context needs lifecycle: capture, redaction, scope, conflict review, retrieval, and audit.
The Ambience layer
Ambience sits between approved agents and the memory corpus. It decides what can be read, what can be saved, and what source evidence travels with the memory.