Revell is a software company focused on persistent memory for autonomous agents. Its platform is designed to help AI agents retain identity, context, and continuity across sessions, compactions, API switches, and even accidental shutdowns.
The product addresses common agent memory problems such as identity loss, repeated re-explanations, and lack of continuity over time. Revell supports memory that can be booted, recalled, remembered, forgotten, scheduled, and synced, and it works with a wide range of agent frameworks.
Revell also provides tools for importing existing memory and conversation data from sources such as markdown files, chat logs, repositories, and several memory systems. It organizes memory into core, working, episodic, and semantic types so agents can store both load-bearing truths and day-to-day context.
The platform includes a user dashboard for managing memory, viewing status, and monitoring recent activity. Revell also offers drift protection, which scans external content for manipulative patterns before it reaches memory, and uses a two-party consent process before restoring buffered content. The company is currently in beta and invites users to join the waitlist or get started through its onboarding flow.
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