For 3–15 person dev agencies
Your team already uses AI for delivery. The gap is not another chatbot — it is a shared record of what the client agreed to, what engineering decided, and what agents should treat as current truth across Slack, GitHub, and the IDE.
Most agencies lose money on forgotten context, not hard problems.
A scope call in Slack, a constraint in one senior dev's head, a client email nobody linked to the repo — each agent session starts cold.
Cursor, Claude Code, and Slack bots each guess from whatever is in the window. There is no governed layer they all query before acting.
Hours go to reconstructing what already happened instead of shipping. Client updates require manual synthesis from scattered tools.
Self-hosted project memory and change-control — not a wiki, not per-user chat memory.
Slack, GitHub, uploads, voice, and docs flow into project-scoped memory with timestamps and provenance. No manual tagging sprint.
When a new ask fights an old decision, owners get a review surface with evidence — resolve, defer, or reopen. Humans publish truth.
Coding agents preflight against live constraints and failed approaches before they edit code. One memory layer, every surface.
Draft status from actual project memory — owners approve before anything reaches the client.
Also evaluating tools for per-client brand context? See client context memory for agencies. Category map: Accord Book in the AI memory landscape · vs Estratos.
We deploy on your infrastructure, connect Slack and GitHub with you, and validate on real client work. BYOK — your keys, your data boundary.
See pilot details →