Maximem provides an encrypted memory layer for AI agents, enabling persistent context that remains private even from the platform provider. Their Synap stack offers persistent memory with anticipatory retrieval, automatic entity resolution, and fast retrieval latency (15 ms), achieving 92% accuracy on LongMemEval benchmarks, while Vity delivers a secure personal context layer for individual users.
Funding
Funding not disclosed
Founders
Product
Problem
AI agents and applications currently operate without persistent memory, causing each interaction to start from a blank state. Context is fragmented across tools, and existing solutions like larger context windows, vector search, or file storage either do not scale or expose data to service providers.
Solution
Maximem provides an encrypted memory layer that gives AI agents and users durable, structured context across sessions and models. The Synap SDK offers developers persistent memory with anticipatory retrieval, automatic entity resolution, and knowledge pipelines, delivering 92% accuracy on LongMemEval benchmarks with 15 ms latency. For end users, the Vity product syncs personal preferences, work history, and tasks across major AI platforms (ChatGPT, Claude, Gemini, etc.) while keeping all data encrypted and private. By handling ingestion, structuring, and fast retrieval of facts, preferences, episodes, and emotions, Maximem enables agents to maintain continuity without exposing data to the provider.
Target Audience
Primary customers are AI developers building conversational agents or support bots that require long‑term, structured memory, and power users who interact with multiple AI assistants and want a secure, unified personal context layer.
Features
- Persistent, encrypted memory storage accessible via Synap SDK for Python and JavaScript/TypeScript
- Anticipatory retrieval with sub‑15 ms latency and 92% LongMemEval accuracy
- Automatic, multi‑tier entity resolution and knowledge pipelines that extract facts, preferences, episodes, emotions, and temporal events
- Cross‑platform personal context sync (Vity) across major AI assistants via a Chrome extension
- Multi‑tenant memory scopes (per‑user, per‑customer, per‑organization) built into the service
- Managed backend with vector + graph engines; no need to run a separate vector database
- Dashboard for monitoring memory architecture, usage, and security controls