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Specifically for coding agents, one issue is how to continue work when almost fill the context window.

Compaction always loses information, so I use an alternative approach that works extremely well, based on this almost silly idea — your original session file itself is the golden source of truth with all details, so why not directly leverage it?

So I built the aichat feature in my Claude-code-tools repo with exactly this sort of thought; the aichat rollover option puts you in a fresh session, with the original session path injected, and you use sub agents to recover any arbitrary detail at any time. Now I keep auto-compact turned off and don’t compact ever.

https://github.com/pchalasani/claude-code-tools?tab=readme-o...

It’s a relatively simple idea; no elaborate “memory” artifacts, no discipline or system to follow, work until 95%+ context usage.

The tool (with the related plugins) makes it seamless: first type “>resume” in your session (this copies session id to clipboard), then quit and run

    aichat resume <pasted session id>
And this launches a TUI offering a few ways to resume your work, one of which is “rollover”; this puts you in a new session with the original session jsonl path injected. And in the new session say something like,

“There is a chat session log file path shown to you; Use subagents strategically to extract details of the task we were working on at the end of it”, or use the /recover-context slash command. If it doesn’t quite get all of it, prompt it again for specific details.

There’s also an aichat search command for rust/tantivy based fast full text search to search across sessions, with a TUI for humans and a CLI/JSON mode for agents/subagents. The latter ( and the corresponding skill and sub agent) can be used to recover arbitrary detailed context about past work.



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