OpenHuman’s Memory Tree architecture separates hot and cold data paths, uses content‑addressed IDs, and builds layered summaries, offering low‑latency queries and robust idempotency for AI agents that need continuous background learning.
This article explains the fundamentals of IPFS, covering its file system nature, content‑addressed Merkle‑DAG structure, the multi‑layer architecture (naming, merkledag, exchange, routing, network), IPLD data modeling, and libp2p’s modular networking stack, illustrating how data is stored, addressed, and transferred in a distributed manner.
The article explains IPFS as a peer‑to‑peer, content‑addressed storage system built on a five‑layer architecture, detailing how the Merkle‑DAG, Kademlia routing, IPLD’s multiformats, and libp2p’s modular network stack work together to enable decentralized, tamper‑resistant data storage and retrieval, complementing blockchain.
