Announcing our investment in Engram, the memory dream team | Amplify Partners

Engram's star research team raised $98M to take on one of the biggest problems in AI: memory and continual learning.

Announcing our investment in Engram, the memory dream team — Amplify Partners Funding News AI & ML Announcing our investment in Engram, the memory dream team Sarah Catanzaro Share 06-23-2026 I haven’t drafted more than a sentence of this blogpost, but I’m already preparing to bark at ChatGPT that I never use colons when writing…for the 50th time this week. I’ll probably also have to tell it to simplify its description of key mathematical concepts (I have, afterall, been in VC for 10 years) at least 10 times when I review ICML papers later this week. All of this is to say, my interest in memory

related reading

• Why We Need Continual Learning | Andreessen Horowitza16z.com
• The Continual Learning Problemjessylin.com
• Continual Learning in Token Space | Lettaletta.com
• Augmenting Long-term Memoryaugmentingcognition.com
• Augmenting Long-term Memoryaugmentingcognition.com
• What are the real problems of continual learning?infinitefaculty.substack.com
• augustus odena on X: "I have a bunch of thoughts about continual learning and nothing to do with them (I'm working on something else) so I figured I'd just turn them into a post: First: I think people use "continual learning" to point at a cluster of issues that are related but distinct. I'll list" / Xx.com
• Andrej Karpathy — AGI is still a decade awaydwarkesh.com
• Effective context engineering for AI agents \ Anthropicanthropic.com
• Memory in the wild: how we use Context Engine on our own code | Applied Computeappliedcompute.com
• Making Sense of Memory in AI Agents – Leonie Monigattileoniemonigatti.com
• NL.pdfabehrouz.github.io