Reeflect provides a memory layer for AI assistants, enabling ChatGPT to retain and recall user‑specific information across sessions. The platform offers users full control over what is stored, flexible management tools, and visual insights into the remembered data, addressing the common frustration of having to repeat details to AI systems.
Funding
Funding not disclosed
Founders
Product
Problem
Users of conversational AI often lose context between interactions, forcing them to repeat information and reducing efficiency in repetitive tasks.
Solution
Reeflect provides an AI memory platform that stores conversational context across sessions and makes it retrievable on demand. Users can configure memory retention policies, customize what data is saved, and adjust how long information persists. The platform offers visual dashboards that display stored memories, allowing both developers and end‑users to understand and manage the retained data. By preserving relevant context, Reeflect reduces the need for repeated inputs and streamlines AI‑driven workflows.
Target Audience
Reeflect is aimed at developers building conversational AI products and end‑users who engage in repetitive AI interactions, such as customer support agents, virtual assistants, and workflow automation tools.
Features
- Persistent memory store that captures and retrieves conversation history across sessions
- Granular control settings for retention duration, scope, and privacy of stored data
- Customizable memory rules and filters to tailor what information is remembered
- Visual analytics dashboard showing stored memories and usage statistics
- API integration for developers to embed memory management into existing AI applications