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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.
Give AI agents a memory layer with storage, recall, forgetting, and reinforcement.
Run persistent stateful Python sessions with timeouts, isolation, and tool bridging.
Connect DevRev workflows to search objects, manage work, and explore hierarchies.
Local-first MCP retrieval for indexing files and finding relevant passages.
Give AI coding agents persistent, traceable memory across projects and past decisions.
Provide local developer context to AI agents for faster, safer initialization.