A shared context workspace for your humans and AI

Think GitHub for context. For your entire team.

Bring your team's skills, tools, and reusable know-how into one shared context workspace. Find what already works, adapt it to the task, and put it to use in the AI tools your team already uses.

Try now →Start with a skill your team already uses.

Build a compounding company

Your team's best AI work shouldn't end with one person's session. Make the skills, knowledge, and methods behind it available to the next person. Give every improvement and feedback loop somewhere to go.

Context is like code. Treat it and manage it like code.

Skills, metrics, ontology, knowledge, code repos, secrets, artefacts. Connect context across your ecosystem to create one common context collaboration plane. Works across harnesses — Claude Code, Codex, and more.

The product changed. Keep the context current.

Switch between versions, dependencies, and review to see how shared context stays current. Declared relationships give reviewers a place to check which guidance needs an update. People who know the work review the change.

From traces to better context

Traces and session history show how shared context was used. Give the domain expert the evidence to inspect the profile and update the guidance behind the next run.

One workspace. Different ways to make it better.

Skill builders — “Someone may have solved this already. I need a starting point I can maintain.” Find and adapt existing skills in the AI tools you use. Test changes, share reviewed versions, and use evidence from real work to guide the next revision.

Skill consumers — “I want this to help with my work. What do I need to use it?” Find a useful starting point, understand its access requirements, and put it to work through your team’s supported AI tools.

AI workflow owners — “Does this workflow still deliver the outcome we need?” Define what good looks like, review the evidence, and decide when a shared workflow should improve, expand, or retire.

Admin & security teams — “How can people experiment while we keep shared work accountable?” Review ownership, access, and security findings. Help teams decide what stays local and what is ready for broader use.

The thinking behind brain

Practices inspiring brain

Give your team's context a shared home.

Try now →Start with a skill your team already uses.