openamnesia
Python
★ 25
updated 1mo ago
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
No plain-English explanation yet — one is being written right now. Check back in a minute.