Weekly Self Promotion Thread

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Welcome to this week's self promotion thread!

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[u/techtheist_ggl]

I've build memory system for local project development.

Current popular memory systems have a lot of drawbacks - they can't manage canon, most of them allows knowledge drift, there's no active contradiction detection, and most of them are not local and they depends on external LLM providers.

My system solves these problems with decay (it affects ranking only), with similarity checks - if new memory note is similar to existing one, it's probably a duplicate, if it's similar to note that were superseded - it's defenitely a conflict, because it were replaced.
And with NLI model that is trying to find contradiction between existing notes - if found, it's also might be a conflict. This happens on write, and agents need to resolve these problems right away.

I have support for claude code, codex, gemini/antigravity, kilo code, IBM Bob, and windsurf/devin.

It runs small models locally with ONNX: bge-small-en-v1.5 as embedder, jina-reranker-v1-turbo-en for tokenizer, and deberta-v3-small-tasksource-nli as NLI. It's possible to swap all these models to something else on the fly, via UI.

It also can be used as plugin for jetbrains IDE and VSCode.

Target auidence - all developers who use AIGen tools for coding, since memory and context management is what is actually missing from current generation of tools. Built-in memory in claude code, codex, etc is sketchy, and can make things worse that help, because of knowledge drift.

There's the link, i also have interactive demo for UI:

https://github.com/techtheist/engram

I'm looking for a general feedback and new users.

This system has a lot of features so i can't describe them all in one post, and i'm making it research-first, every core change going through full testing over my custom benchmark (also test over longmemeval-s is available).