Looking for feedback: Memory system that both AI agents and humans can use

I’ve been building Noosphere, an open-source memory/wiki layer for AI agents, mostly because I kept running into the same problem: long-term context is useful, but it gets messy quickly when it is only hidden embeddings or scattered notes. After a slightly unreasonable number of late nights, I’m trying to get outside feedback from people who build or use agent systems. The current direction is: structured Postgres-backed memory, Redis-cached recall, human-editable wiki pages, confidence/status metadata, revision history, conflict handling, and a draft → curated workflow. There are plugins for OpenClaw, OpenCode, and other agent systems, plus an API for custom integrations. I needed such a memory system for my own projects, this was one of the reasons I had to build it. The repo is open, and I’d really appreciate critique, contributors, or blunt feedback on what should be simpler. And general discussion here :) Repo is on GitHub. ( SweetSophia/noosphere)