Retain control over products
built through agents
A shared control and memory layer for building with humans, agents, and multiple AI providers — without losing what is actually being built.
AI solved code generation.
It did not solve project control.
Modern AI-native development creates a new kind of chaos. We call it AI entropy.
- Code changes faster than humans can absorb
- Project context gets fragmented across chats, IDEs, tickets, and markdown files
- Docs, intent, and implementation drift apart
- Delivery becomes hard to track
- Onboarding every new agent means rebuilding context from scratch
A control system for agentic product development.
Not another IDE plugin. Not another coding copilot. Not another dashboard.
Gardener helps operators retain:
What actually exists in the system
What is planned, active, reviewed, or blocked
How the system is structured and changing
How work moves through agents without losing context
Onboard agents into a shared source of truth.
Today, project reality is often trapped inside one chat thread, one IDE session, one model provider, or one founder's head.
Instead of re-briefing every new agent manually, you connect agents into a persistent project reality — one coherent source of truth across all of them.
Do not onboard context into every new agent.
Onboard agents into a shared source of truth.
Evolving toward beta.
Gardener is currently being dogfooded on itself and shaped around a simple thesis: AI solved code generation faster than it solved project control.
If that resonates, you are exactly the kind of builder Gardener is for.