How Aside Powers Persistent AI Memory Across 80,000+ Devices
Blog post from Moss
Aside is developing an AI browser designed to retain context from users’ browsing histories and past tasks, allowing agents to understand ongoing projects, contacts, websites, and work patterns without requiring repeated explanations. Its memory system extracts and organizes interactions into episodic, self-organizing context, using a custom semantic chunker and Moss’s on-device embedding, indexing, and retrieval infrastructure to keep sensitive data local rather than sending it to cloud services. The company reports processing about 113 million documents and 24.8 billion tokens monthly across more than 80,000 devices in over 150 countries, with usage growing 25% week over week. Moss provides retrieval latency below 10 milliseconds, while Aside focuses on its browser, agent framework, memory organization, and password manager. By combining persistent local memory with browser access and credentials, Aside aims to let agents locate relevant information, verify it on websites when needed, and complete cross-tool tasks from shorter user instructions, an approach that may also appeal to security-conscious industries such as finance and law.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Agents | 6 | 7,292 | 1,580 | 285 | +10% |
| Vector Search | 6 | 2,170 | 450 | 146 | -18% |
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