AI Agent Skills

[MLsys2026]: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.

An open source, standard data file format for graph data storage and retrieval.

The trust-minimized, zero-knowledge bridging protocol, designed for censorship resistance, extremely high security, and usage in decentralized finance.

Universal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state management for next-g…

pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai

A fast and lightweight framework for creating decentralized agents with ease.

Open-source Back-end, self-hostable & ready to use - Real-time, storage, advanced search - Web, Apps, Mobile, IoT -

A zkVM for Decentralized Private Computations (DPC)

🤖 A Node queue API for generating PDFs using headless Chrome. Comes with a CLI, S3 storage and webhooks for notifying subscribers about generated PDFs

Hermes Agent memory plugin/provider for scope-aware recall, SQLite truth, LanceDB semantic search, and hybrid retrieval.

MemoRizz: A Python library serving as a memory layer for AI applications. Leverages popular databases and storage solutions to optimize memory usage. Provides utility cl…

Grafeo is a pure-Rust, high-performance graph database that can be embedded as a library or run as a standalone database, with optional in-memory or persistent storage.…

Cloud-Native distributed storage built on and for Kubernetes

neutriNote - the original Markdown + Math note app. Programmatically extensible. Sync-ready note storage. Non-commerical. No lock-ins. Only 3 MB footprint & highly optim…

A p2p, secure file storage, social network and application protocol

SeaweedFS is a distributed storage system for object storage (S3), file systems, and Iceberg tables, designed to handle billions of files with O(1) disk access and effor…