Qubitor $QBT - Layer 1 Quantum Resistance Chain
Quantum-resistant infrastructure. Smart accounts, bridge, & operator key hardening built for the next cryptographic era.
The most mispriced asymmetry in AI right now: claude-mem: 82,000 GitHub stars. One of the most-starred AI memory projects in the world on GitHub of ALL TIME. 21,000 Daily active users. $200k token savings per day. Every AI agent ships with the same defect: amnesia. Claude Code, Codex, Gemini, Copilot β all of them wake up empty. The session ends, the context dies, the work evaporates. claude-mem fixes this. It captures everything your agent does, compresses it with AI, and injects relevant context back into future sessions. Works across Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode. Not a whitepaper. Shipping, installed, in daily use by developers around the world. The labs are racing on models. Models are becoming commodities. The layer nobody has won is MEMORY β the substrate where an agent's context compounds instead of resetting to zero. Whoever owns that layer owns the agent economy's hard drive. The open-source default is forming right now. It has 82K stars. And the token? $CMEM wasn't an ICO. No VC allocation waiting to unlock on your head. It emerged from the community, the dev bought in alongside everyone else and locked his position, and the contract address sits in the README of the repo itself. How many micro-caps can say their CA lives inside one of GitHub's most-starred AI projects? Agents are about to be everywhere. Every single one of them forgets. $CMEM is the bet that they shouldn't. CA (Base): `0x76b1967eec0ccaeb001bbbb2b40dc4badba31ba3`
Qubitor $QBT - Layer 1 Quantum Resistance Chain
Quantum-resistant infrastructure. Smart accounts, bridge, & operator key hardening built for the next cryptographic era.
The most mispriced asymmetry in AI right now: claude-mem: 82,000 GitHub stars. One of the most-starred AI memory projects in the world on GitHub of ALL TIME. 21,000 Daily active users. $200k token savings per day. Every AI agent ships with the same defect: amnesia. Claude Code, Codex, Gemini, Copilot β all of them wake up empty. The session ends, the context dies, the work evaporates. claude-mem fixes this. It captures everything your agent does, compresses it with AI, and injects relevant context back into future sessions. Works across Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode. Not a whitepaper. Shipping, installed, in daily use by developers around the world. The labs are racing on models. Models are becoming commodities. The layer nobody has won is MEMORY β the substrate where an agent's context compounds instead of resetting to zero. Whoever owns that layer owns the agent economy's hard drive. The open-source default is forming right now. It has 82K stars. And the token? $CMEM wasn't an ICO. No VC allocation waiting to unlock on your head. It emerged from the community, the dev bought in alongside everyone else and locked his position, and the contract address sits in the README of the repo itself. How many micro-caps can say their CA lives inside one of GitHub's most-starred AI projects? Agents are about to be everywhere. Every single one of them forgets. $CMEM is the bet that they shouldn't. CA (Base): `0x76b1967eec0ccaeb001bbbb2b40dc4badba31ba3`