AI prototyping
You're moving quickly, experimenting constantly, and working across multiple repositories.
Tapestry helps preserve decisions, surface recurring patterns, and reduce the amount of context that must be rebuilt between sessions.
Use cases
Different scale.
Same thing leaks away.
Whatever you're building, context disappears between sessions and across projects. Here's where keeping it changes the outcome.
Long-running projects
The longer a project lives, the harder it becomes to understand why things are the way they are.
Tapestry captures project intelligence as work happens, making it easier to understand how the project evolved.
Research teams
Knowledge often lives in conversations, notebooks, documents, and individual contributors.
Tapestry helps make project intelligence observable and easier to share across a team.
Agent workflows
As agent usage grows, coordination becomes harder than generation.
Tapestry helps teams understand how agents, memory, workflows, and project structure interact over time.
Organizational learning
The most valuable lessons are often rediscovered repeatedly.
Tapestry helps identify reusable patterns, emerging skills, and durable structures that can be applied across projects.
Onboarding
New people spend their first weeks figuring out why the project is the way it is.
Tapestry makes past decisions, patterns, and context discoverable, so people get up to speed faster.