WGlynn/-Net-PsiNet---the-Psychic-Network-for-AI-Context.

ΨNet is an ambitious 'kitchen-sink' architecture that attempts to solve the AI context silo problem by layering multiple Web3 technologies (IPFS, Arweave, DIDs, ZKPs). Quantitatively, with 1 star and 0 forks over 159 days, the project is currently a personal experiment or theoretical framework with zero market traction. From a competitive standpoint, it faces a 'chicken-and-egg' network effect problem: for a decentralized context protocol to be useful, multiple agent platforms must adopt it. Frontier labs (OpenAI, Anthropic) are moving in the opposite direction, building proprietary, vertically integrated memory systems (e.g., ChatGPT Memory, Assistants API threads) to increase lock-in. While frontier labs won't build a decentralized version, their dominance makes a third-party P2P protocol a hard sell. Its primary competitors are not the labs, but rather standardized context tools like MemGPT or decentralized data platforms like Ceramic Network. The defensibility is low because the moat in P2P protocols is the network effect, which this project currently lacks entirely. The technical complexity of merging CRDTs with ZKPs for context history is non-trivial, but without a developer ecosystem, it remains a fragile prototype.