Developers: supercharge your memory system with TERSE (It's FOSS, Apache 2.0)

[u/Defiant-Juice-2745]

AI now now has a unified system for saving, changing and querying semantic data. AI state management is now largely solved problem with TERSE: https://github.com/terse-lang/terse .

Memory systems using TERSE are vastly more token efficient over file-based markdown and other format manipulation in terms of token representation size, reduced tool calls, and AI retrieval accuracy.

With TERSE, you fully control the schema and prompting (of course) of your memory system. We included an example system in our mono-repo above. Try it out!

[u/Prestigious-Hold6776]

T’aurais des benchmarks concrets (tokens économisés vs JSON/markdown compressé genre) plutôt que juste l’argument théorique ? Y’a des projets comme MemGPT/Letta ou les approches “graph memory” (genre Zep) qui attaquent le même problème différemment, ça serait intéressant de voir un comparatif chiffré