How my long-running AI agent remembers across sessions — git history as the state log
Article summary
Quick briefing — cleaned from the original RSS feed
My agent system runs in cycles — a few hours of work, then the process ends and a fresh one starts with an empty context window. Every cycle, it forgets everything it just did. That's not a bug, it's just what a context window is: a fixed window, not a memory. The first time this bit me, the agent re-diagnosed a problem it had already fixed two days earlier. Same root cause, same fix, same amount of time spent re-reading the same files to get there. The work wasn't lost — it was sitting right…
1Key Takeaways
- My agent system runs in cycles — a few hours of work, then the process ends and a fresh one starts with an empty context window.
- Every cycle, it forgets everything it just did.
- That's not a bug, it's just what a context window is: a fixed window, not a memory.
- The first time this bit me, the agent re-diagnosed a problem it had already fixed two days earlier.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that my agent system runs in cycles — a few hours of work, then the process ends and a fresh one starts with an empty context window.
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