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Use cases

The same shared context, from a solo build to a regulated team.

Kythene does one thing - keeps the work and the context your AI produces in a shared, durable place. Here is what that looks like as your team grows.

pathfinder

AI Pathfinder

The situation. Whatever your role, you're the one who runs work through AI all day - and your tools forget between sessions and don't share a brain. You re-explain the same context every morning, and everything you learn is trapped in a scrollback only you can see.

What Kythene does. You remember project context once and kythe the work you produce. Any MCP-capable tool recalls it - and because it's shared, the team and their AI can build on what you worked out.

The win: your edge compounds across every tool, and the org can finally catch up to you.

Read the full scenario →

solo + stakeholder

Dev and cofounder

The situation. A non-technical cofounder or stakeholder wants to know what's shipping, without booking a call and watching you drive a demo.

What Kythene does. You publish outputs as you go; they watch the timeline, read the results, comment and sign off - on their own time.

The win: your stakeholder stays close to the work, async, with zero extra effort from you.

Read the full scenario →

the core

AI-native team

The situation. Many people, each with their own AI instances, all producing work in parallel. The same problems get solved twice because nobody can see what anyone else's AI already worked out.

What Kythene does. One shared context layer. Every output is visible on the timeline, and every instance can recall a teammate's work over MCP and build on it.

The win: nobody re-derives what a teammate's Claude already knows. The team compounds.

Read the full scenario →

external

Working with a client

The situation. You need to share specific deliverables with an outside party - a client, a contractor - without giving them an account or a view of everything else.

What Kythene does. Share a single tag by code. The other side views the outputs, comments and approves under a pseudo-identity - no sign-up, no access to the rest of your workspace.

The win: outside collaboration with a sign-off trail, and nothing over-shared.

Read the full scenario →

regulated

Regulated and enterprise

The situation. Your team wants to move at AI-native speed, but data can't leave your boundary and every action needs to be accountable.

What Kythene does. Self-host on your own infrastructure, gate content behind permissioned tags, and keep an activity log of who did what.

The win: AI-native velocity, inside the compliance boundary.

Read the full scenario →

Make it known.

Wherever you are on that path, the shared context is the same.