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AI · August 14, 2025

Yet another memory system for LLMs

Built this for my LLM workflows - needed searchable, persistent memory that wouldn't blow up storage costs. I also wanted to use it locally for my research. It's a content-addressed storage system with block-level deduplication (saves 30-40% on typical codebases). I have integrated the CLI tool into most of my workflows in Zed, Claude Code, and Cursor, and I provide the prompt I'm currently using in the repo. The project is in C++ and the build system is rough around the edges but is tested on macOS and Ubuntu 24.04.

Yet another memory system for LLMs launched on August 14, 2025 with 165 votes, #203 of 8,530 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 1 year on.

Visit github.com ↗Alternativestop 2% of August 2025

In plain words

Yet Another Memory System for LLMs is a content-addressed storage system designed for developers using large language models in their workflows. It provides searchable, persistent memory while minimizing storage costs through block-level deduplication, which typically saves 30-40% on codebases. The system includes a CLI tool that integrates with Zed, Claude Code, and Cursor, and runs locally on macOS and Ubuntu 24.04. Built in C++, it includes example prompts for immediate use in LLM workflows.

written from the facts on this page · September 2026

From the sources

Persistent memory for LLMs and apps. Content-addressed storage with dedupe, compression, full-text and vector search. - trvon/yams

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