Mnexium
Adds persistent memory, chat history, user profiles, records, and live context to AI apps so models remember across sessions
The product is an API-based memory infrastructure that adds persistent memory, chat history, user profiles, and live context to AI applications so models retain facts and preferences across sessions without custom storage. It is for developers and engineering teams at startups and B2B companies building AI apps and agents. It is delivered as a drop-in API/SDK that sits between the application and models such as OpenAI, Anthropic, and Gemini and is positioned as an alternative to building memory infrastructure in-house.
Key features
- Persistent memory across sessions
- Chat history injection
- User profiles and records
- Live context injection
- Automatic fact extraction
- Context ranking and deduplication
- Semantic memory search
- Works with OpenAI Anthropic Gemini
- Drop-in 2-line integration
- Per-subject memory storage
- No social media activity within the last 30 days
GTM channels
- Blog
- Marketplace
- API
- Docs
ICP
- Software developers
- Engineering teams
- Startups