ClearMesh
A Git-like platform for datasets, models, and binary folders
What it does
ClearMesh brings Git-like version control to large files. It helps AI, VFX, research, data, and engineering teams commit, push, clone, sync, branch, and mount datasets, model files, media assets, CAD exports, and binary folders. Files are stored as chunks in S3/R2-compatible Vault storage, with optional client-side encryption. Unchanged chunks can be reused across versions, and repos can be mounted read-only so tools can stream files from a normal path. Would this fit your workflow?
Does the same job
all alternatives →- IRI replaced vector databases with Git for AI memory (PoC)2025 · github.com · ▲198
Hey HN! I built a proof-of-concept for AI memory using Git instead of vector databases. The insight: Git already solved versioned document management. Why are we building complex vector stores when we could just use markdown files with Git's built-in diff/blame/history? How it works: Memories stored as markdown files in a Git repo Each conversation = one commit git diff shows how understanding evolves over time BM25 for search (no embeddings needed) LLMs generate search queries from conversation context Example: Ask "how has my project evolved?" and it uses git diff to show actual…
- SGStellar – Git for PostreSQL and MySQL2014 · github.com · ▲325
- AVA versioned filesystem inspired by Git2012 · github.com · ▲115
- DEDump entire Git repos into a single file for LLM prompts2024 · ▲57
Hey! I wanted to share a tool I've been working on. It's still very early and a work in progress, but I've found it incredibly helpful when working with Claude and OpenAI's models. What it does: I created a Python script that dumps your entire Git repository into a single file. This makes it much easier to use with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems. Key Features: - Respects .gitignore patterns - Generates a tree-like directory structure - Includes file contents for all non-excluded files - Customizable file type filtering Why I find it useful for…
- VCVersion code, models, & datasets together in GitHub2023 · ▲19
Hi HN! We just launched a GitHub integration that scales your Git repos to handle 100 terabytes of files in a single repo. XetData enables data scientists and machine learning engineers to version code, models, and datasets together. Most teams have glued together clunky workflows using S3, DVC, Git, Git LFS, and other tools and make true reproducibility difficult: https://news.ycombinator.com/item?id=37694701 We instead embrace and extend Git so end-users don’t need to learn a new tool and a new set of commands. Our implementation is similar to Git LFS, where we take over the…

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- NW
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