Rare find

Titans. A memory system that lets AI models remember and use long documents without running out of space.

github.com/lucidrains/titans-pytorch

Problem

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Audience

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Market

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Pricing

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Vaya's read on this project

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Updates

July 2026

address an issue with an experimental idea for the edge case of sampl… Jul 13

June 2026

remove github Jun 6
Merge pull request #60 from thehalleyyoung/fix/demo-return-kv-cache Jun 5
Pass return_kv_cache=True in nested/implicit attention demos Jun 5

February 2026

Release —0.5.3 Feb 9
incorporate storing of memories with lookahead values, finding from S… Feb 9

January 2026

Release —0.5.1 Jan 27
turns out there is a bug with neural memory cache state misalignment … Jan 27
Release —0.5.0 Jan 7
mHC from deepseek Jan 7
Release —0.4.25 Jan 5
address https://github.com/lucidrains/titans-pytorch/issues/56 Jan 5
Release —0.4.24 Jan 5

December 2025

address https://github.com/lucidrains/titans-pytorch/issues/53 Dec 20
Release —0.4.23 Dec 18
make experiment script uv runnable - uv should just become the defaul… Dec 18
agree with Yannic's critiques Dec 15

November 2025

Release —0.4.22 Nov 28
make sure nested attn converges Nov 28
Release —0.4.21 Nov 26
quick fix Nov 26
throw out yet another idea Nov 26
Release —0.4.20 Nov 26
tweak Nov 22
actually add the script.. Nov 22
Release —0.4.19 Nov 22
enwik8 for implicit mlp attn Nov 22
maybe key rmsnorm for implicit mlp attention Nov 21
cleanup improv Nov 19
close the connection Nov 19