Closing the Agent Loop: How TokenCap Stages and Redacts Conversation Memory
This story is from 2026-09-30. It is preserved in the archive; the latest stories are on the live feed.
One of the biggest productivity leaks in AI-assisted engineering is context reset. You spend an hour explaining architectural constraints to an agent, write code, close the tab, and the next day you start from zero. We built Session Capture in TokenCap to close the loop between agent chat and repos…
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- 2026-09-30 12:52 · DEV Community — AI
Closing the Agent Loop: How TokenCap Stages and Redacts Conversation Memory