Lighthouse launches $LLL, a shared memory layer for AI agents
Lighthouse launched $LLL on Virtuals, storing agent memories as verifiable blobs on decentralized storage via a standard MCP endpoint so memory stays with the user across models and sessions.
Lighthouse just launched $LLL on @virtuals_io, and the product is simple to say and hard to build: memory for AI agents. You connect over MCP or their SDK, and every memory is stored as a verifiable blob on decentralized storage. Here is my problem with AI, and probably yours. I work with many models, and each one starts as a stranger. Tell Claude a project brief and ChatGPT has never heard of it. The next coding agent begins from zero. A bigger context window does not help, because the window dies with the session, and memory has to live outside the model. Projects like Hermes and OpenClaw have solved this in their own corners for a while now. What makes this different is that it is one shared layer over a standard MCP endpoint, so memory belongs to you instead of the app that happens to be open. The reason I take it seriously is who built it. @LighthouseWeb3 has spent years running decentralized storage on IPFS and Filecoin, and thousands of companies already rely on it, Aethir, SingularityNET and Ocean Protocol among them. Real usage, proven at scale. The market noticed on day one. $LLL launched yesterday near a $1M valuation and ran to about $7M at the peak, a serious result for a team that has been shipping for years 📈 Memory is the line between an agent that is a demo and an agent that is infrastructure. An agent that cannot prove what it read cannot be audited. An agent that forgets cannot be trusted past one session. The ones that get this right become the floor everything else stands on. Betting heavily on projects building that.