ContextKeeper – Persistent user memory for AI apps

Add cross-session memory to chatbots with a few lines of code.

Problem

AI chat apps often forget what users said before, causing repetitive answers and broken experiences; each API call is a one-off request with no built-in session memory management, and building it yourself is costly.

Solution

The product offers a lightweight API/SDK that automatically stores conversation history and preferences, then retrieves relevant context to inject into new prompts; supports multiple models and vector stores with minimal code.

Users

AI app developers, chatbot builders, SaaS teams

MVP

Simple memory storage API (user ID, conversation summaries, preferences); retrieval of relevant memories and prompt injection; support for major AI providers; SDK and sample code

Revenue

Subscription based on storage or API call volume; free tier to attract early users

Why now

AI apps are exploding but memory management is a universal pain point; LLMs don't remember users, creating a huge application-layer opportunity for indie devs with a vertical SDK