Persistent context for AI agents built fromlearned vectors with certainty scores.
Agent context. Human alignment. Agents build their world model autonomously -- observing, learning, updating certainty across every session. Humans can join at any time: audit, revise, and collaborate in plain language. A chat is all it takes. Agents build autonomously. Humans align naturally. Every lane writes to the same pod structure. A coding agent, a workflow agent, and a personal chat agent…
Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.
Agent context. Human alignment. Agents build their world model autonomously -- observing, learning, updating certainty across every session. Humans can join at any time: audit, revise, and collaborate in plain language. A chat is all it takes. Agents build autonomously. Humans align naturally. Every lane writes to the same pod structure. A coding agent, a workflow agent, and a personal chat agent can all share context -- or each maintain their own. Either way, the Chat lane is the alignment…