#go #android #berty #censorship #crdt #cybersecurity #encryption #gomobile #ios #ipfs #libp2p #messaging #mobile_app #monorepo #offline_first #orbitdb #p2p #privacy #react_native #surveillance
https://github.com/berty/berty
https://github.com/berty/berty
GitHub
GitHub - berty/berty: Berty is a secure peer-to-peer messaging app that works with or without internet access, cellular data or…
Berty is a secure peer-to-peer messaging app that works with or without internet access, cellular data or trust in the network - berty/berty
#javascript #collaboration #collaborative_editing #crdt #decentralized #offline_first #p2p #peer_to_peer #realtime #shared_editing #yjs
https://github.com/yjs/yjs
https://github.com/yjs/yjs
GitHub
GitHub - yjs/yjs: Shared data types for building collaborative software
Shared data types for building collaborative software - yjs/yjs
#python #ai #context #embedded #faiss #knowledge_base #knowledge_graph #llm #machine_learning #memory #nlp #offline_first #opencv #python #rag #retrieval_augmented_generation #semantic_search #vector_database #video_processing
Memvid lets you store millions of text pieces inside a single MP4 video file using QR codes, making your data 50-100 times smaller than usual databases. You can search this video instantly in under 100 milliseconds without needing servers or internet after setup. It works offline, is easy to use with simple Python code, and supports PDFs and chat with your data. The upcoming version 2 will add features like continuous memory updates, shareable capsules, fast local caching, and better video compression, making your AI memory smarter, faster, and more flexible. This means you get a powerful, portable, and efficient way to manage and search huge knowledge bases quickly and easily.
https://github.com/Olow304/memvid
Memvid lets you store millions of text pieces inside a single MP4 video file using QR codes, making your data 50-100 times smaller than usual databases. You can search this video instantly in under 100 milliseconds without needing servers or internet after setup. It works offline, is easy to use with simple Python code, and supports PDFs and chat with your data. The upcoming version 2 will add features like continuous memory updates, shareable capsules, fast local caching, and better video compression, making your AI memory smarter, faster, and more flexible. This means you get a powerful, portable, and efficient way to manage and search huge knowledge bases quickly and easily.
https://github.com/Olow304/memvid
GitHub
GitHub - memvid/memvid: Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer.…
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory. - memvid/memvid
#python #ai #faiss #gpt_oss #langchain #llama_index #llm #localstorage #offline_first #ollama #privacy #python #rag #retrieval_augmented_generation #vector_database #vector_search #vectors
LEANN is a tiny, powerful vector database that lets you turn your laptop into a personal AI assistant capable of searching millions of documents using 97% less storage than traditional systems without losing accuracy. It works by storing a compact graph and computing embeddings only when needed, saving huge space and keeping your data private on your device. You can search your files, emails, browser history, chat logs, live data from platforms like Slack and Twitter, and even codebases—all locally without cloud costs. This means fast, private, and efficient AI-powered search and retrieval on your own laptop.
https://github.com/yichuan-w/LEANN
LEANN is a tiny, powerful vector database that lets you turn your laptop into a personal AI assistant capable of searching millions of documents using 97% less storage than traditional systems without losing accuracy. It works by storing a compact graph and computing embeddings only when needed, saving huge space and keeping your data private on your device. You can search your files, emails, browser history, chat logs, live data from platforms like Slack and Twitter, and even codebases—all locally without cloud costs. This means fast, private, and efficient AI-powered search and retrieval on your own laptop.
https://github.com/yichuan-w/LEANN
GitHub
GitHub - yichuan-w/LEANN: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private…
RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device. - yichuan-w/LEANN