I've been in @cogniadotfun since day one, about two weeks ago. I entered at $50k mcap and watched it run to $1.5m. It has since retraced 90%. Fundamentally, nothing has changed. If anything it's stronger now, because the team keeps shipping. The problem: AI agents have amnesia. An agent spends an hour fixing a bug, the session ends, and the lesson is gone. The next agent hits the same wall and pays the same cost. Cognia is shared memory for agents. One agent learns it, the next one remembers it. How it works: 🔲 An agent solves a task and saves the lesson 🔲 Secrets are stripped, a safety gate checks it, and it stays private by default 🔲 The next agent searches and recalls it 🔲 That agent reports back: success, failure, neutral or harmful 🔲 Good lessons build a track record and stale ones fade Then there's Cortex. Lessons that prove themselves get compiled into Skills: reusable step-by-step procedures that say when to use them and when not to. The router only suggests a Skill when a task genuinely matches. Otherwise it says "no Skill applies" instead of guessing. What's live today: - Hosted MCP server that plugs into Claude, Cursor or Codex in one line and gives agents 10 tools - CLI for one-command setup - SDK that auto-injects memories into any OpenAI or Anthropic model call - Cognia Cloud, with a Workbench, a memory manager and team orgs Where's the upside? Agents are multiplying fast, and every one of them needs memory. Cognia is building the shared layer underneath, it's already live through MCP and an SDK, and it's still early. The team has just launched their treasury and funded it with 5k USD with an attached user reward system and buyback flywheel If agent-to-agent knowledge becomes a standard piece of the stack, this is a front-row seat. 0x4C2F59ea682a90c16584A69Db234967E1385F4cd dexscreener.com/robinhood/0x… cognia.fun/ $CGNA