I compressed 10k PDFs into a 1.4GB video for LLM memory
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. While building a Retrieval-Augmented Generation (RAG) system, I was frustrated by my vector database consuming 8GB RAM just to search my own PDFs.
오픈소스
반응 (1)
비슷한 프로덕트
설명이 비슷한 순
Personal memory across agents
Continual Learning with .md
github.comTurn your files into a memory filesystem for AI agents.
AI-Augmented Memory for Groups
largemem.comWe’re building Largemem, ( https://largemem.com ) a shared knowledge base where groups upload and maintain a common set of documents (PDFs, scans, audio) and query them conversationally.
Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.
MemorySync
memorysync.ioMemory for AI Agents