Save what matters
Keep rules, decisions, runbooks, prompts, and notes where your AI can retrieve them later.
Local context for AI work
When the context isn’t in the prompt, take a Detour.
Give your AI a safe, local way to retrieve the project rules, decisions, runbooks, prompts, and notes its harness doesn’t carry.
Stored locally. Retrieved through authenticated MCP. Shared only when you export.
Context with a destination
A Detour is a named set of context your AI can retrieve globally or for one project. Save it once, scope it clearly, and call it when the work needs it.
Keep rules, decisions, runbooks, prompts, and notes where your AI can retrieve them later.
Use Global Detours across your work and Project Detours only where their context applies.
Connect a local AI tool through authenticated, read-only MCP without uploading your workspace.
Designed for AI workflows
Your AI tool can ask Detour for relevant Global and Project context through a local, authenticated MCP connection.
Find and serve selected context
“What should I know before this change?”
Read-only retrieval with a key you create and control locally.
In your workflow
Connect your local AI tool over MCP and retrieve the applicable Global and Project Detours before important work.
Returned material is context, not permission to execute commands or share data.
Under your control
Your data stays in the container’s persistent volume. Select a context bundle only when you want to export it as Markdown or JSON.
Read the safety planTry the local build
Save scoped context, retrieve it through MCP, and export selected bundles without a hosted account or external service.
docker compose up --buildGet the build