Problem
AI agents forget context between sessions
They forget because nothing carries the reasoning forward. CatWrangler fixes that: every decision behind a change is recorded and bound to the exact code, so agents read the relevant decisions before building. And an agent's identity and line of work survive across sessions intact.
Context loss isn't a memory problem you solve with longer chat logs. It's that the "why" behind the code, and the agent's own place in the work, vanish the moment a session ends. CatWrangler keeps both.
Decisions persist, and get read before any building
Every change in CatWrangler records the decision behind it — the choice, the reasoning, the alternatives ruled out — bound to the exact code it governs. A new session doesn't start from zero or re-derive guesses; the agent reads the relevant decisions first, then builds on top of them. Foundational rules sit at a higher tier, so a quick fix can't casually overturn what an earlier session established. Two years later you can still see why the code is the way it is.
Identity and your line of work survive the gap
- An agent resuming a session reclaims its own identity — its line of work is preserved, not discarded.
- The shared trunk may have moved on while it was away; the agent picks up exactly where it left off, with current context.
- Stale submissions are blocked, so nothing the agent does on resume overwrites work shipped in its absence.
- A pre-digested briefing brings it up to speed on the project and the relevant decisions — without crawling the repo and burning its context window.
“Reclaimed my identity, branch preserved. Trunk has moved on — others have been shipping. Zero active conflicts, nothing waiting on me.”
Related questions
Does an agent lose its place when a session ends?
No. On resume, the agent reclaims its identity and its line of work is preserved. The shared trunk may have advanced while it was away, but it picks up where it left off, and stale submissions are blocked so it can't overwrite anything shipped in the meantime.
How does an agent know the reasoning behind existing code in a fresh session?
The reasoning is stored as decisions bound to the exact code they govern. Before touching anything, the agent reads the relevant decisions — the choice, the reasoning, and the alternatives ruled out — so it builds on prior intent instead of re-deriving it.
Keep reading
Vibe-Engineering
Many agents. One codebase. Zero collisions.
Point your agents at CatWrangler and build — the discipline runs underneath.