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Build persistent project context for AI agents with reusable structured knowledge.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Reverie" yet — see the docs or source repo.
Set up a Reverie context for the current project. Store the project goals, tech stack, folder structure, coding conventions, and TODOs using hierarchical dot notation, and suggest a recommended key structure.
A project memory initialization plan with example hierarchical keys and the first structured entries to save.
Read the existing project context from Reverie and summarize the current product goals, recent decisions, unfinished tasks, and key constraints so I can quickly resume development.
An actionable context summary that helps the user resume work quickly in a new session.
Save the architecture decisions from this discussion into Reverie, including rationale, alternatives, and downstream impact, organized by module and date in a searchable hierarchy.
A structured decision log that is easy to query, reuse, and share with the team.
Helps AI agents manage a structured Markdown or Obsidian knowledge vault.
Run persistent stateful Python sessions with timeouts, isolation, and tool bridging.
Lets AI coding agents share context, check status, and claim pending work.
Turn unstructured documents into a searchable knowledge base for AI agents.
Give AI coding assistants persistent, structured project memory stored as local Markdown.
Generate project context maps for AI coding agents to inspect repositories and log changes.