We just open-sourced AtomicMemory.
The AI memory industry has a black-box problem.
AtomicMemory is a configurable open-source SDK + self-hosted Core engine for memory your AI can inspect, correct, swap, and run on your own infrastructure.
Apache 2.0. HTTP-first. Docker quickstart.
https://t.co/pSn52AL7zQ
@Yuchenj_UW Their agent probably starts from zero every morning if their token bill is high.
Here's an AI memory solution to fix that:
https://t.co/J3tyJlcfIQ
@mvanhorn If you're looking for an agentic memory hack, you should check Atomic Memory out. A surprising number of agent failures come from outdated assumptions surviving too long.
https://t.co/J3tyJlcfIQ
@damian_b This feels very close to a memory problem. The implementation changes but the underlying assumptions often don't.
Happy to hear your thoughts if you experiment with Atomic Memory! https://t.co/J3tyJlcfIQ
@plainionist The root cause is often not missing information but failing to revise existing information.
We'd love to hear your opinion on our fix for that! https://t.co/J3tyJlcfIQ
@anildelphi A lot of these workflows feel amazing early on but the long term experience usually comes down on AI's memory persisting.
Check out this memory engine that can be added on top of Hermes! https://t.co/J3tyJlcfIQ
@AnatoliKopadze The moment you're letting agents work for hours unattended, understanding how their knowledge changed becomes as important as understanding what they built.
https://t.co/J3tyJlcfIQ
Andrej Karpathy's pattern is to compile knowledge once and grow smarter for every query you make, which is what we built with LLM-Wiki Compiler.
We extended that idea to AI agent memory. Once you've fed information to your agent, it's tracked as claims with evidence and lineage. When something changes, only what needs to change gets revised. Nothing gets silently replaced without a record of what it used to believe.
The repo is open and we are actively building. Come contribute! β¬οΈ
https://t.co/8eM1UmdTal
@iam_elias1 This is a very useful course! π We're still early on building reliable memory systems around them. You might wanna check this out: https://t.co/J3tyJlcfIQ