Agents are only as good as their context but most context lives in scattered traces: coding agent sessions, IDE chats, tool calls, and personal messages. We wanted a continual learning context engine that can securely extract memory from real activity, so agents can cold-start with high-signal history and stay current as you work
☆30Apr 30, 2026Updated 3 months ago
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