AI Coding Agent Memory
AI coding agent memory is the information a coding agent can use to continue useful work across sessions.
In AICTX, memory is repo-local and operational. It is not a hidden model memory feature or a cloud knowledge base.
What AICTX treats as memory
AICTX focuses on facts that help future coding-agent sessions:
- active task state;
- decisions and handoffs;
- known failures and resolutions;
- execution summaries;
- relevant repository entry points.
Why this matters
Coding-agent sessions often start cold. AICTX gives the next session a compact continuity surface that can reduce rediscovery without claiming to make the agent autonomous or always correct.
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