Meaning Memory is built by Clinton Stark. The idea came to him while running an OpenClaw multi-agent deployment in his own Silicon Valley AI lab, where his agents needed a memory layer that didn’t exist yet: durable, structured, accountable, capable of scaling with the fleet.
In 1999, Clinton was project manager on Cisco’s enterprise content management system deployment, an industry-first effort the Smithsonian later recognized for innovation. After Cisco came two decades across Silicon Valley software start-ups, selling into SMB and enterprise. More recently he has worked hands-on in applied AI: retrieval-augmented generation, LoRA fine-tuning, and a self-hosted server farm running production AI workloads. The same governance gap kept showing up across content management, search, caching, vector databases, and now agent context windows. Meaning Memory closes it: the structured cognition layer for enterprise multi‑agent fleets.