Context Loss
"Definitely dumber after compaction"
— DoltHub developer experience blog
The Problem
Every AI coding session starts from zero. Your assistant doesn't remember yesterday's architecture decisions, last week's coding standards, or the bug you fixed an hour ago in a different chat.
Context windows fill up. Sessions get compacted. Chat history gets truncated. And suddenly your AI partner—who just spent 20 minutes understanding your codebase—forgets everything and starts suggesting the same wrong approaches you already rejected.
Why It Happens
AI assistants operate within fixed context windows. When that window fills, older information gets compressed or discarded. The AI literally cannot remember what happened before compaction.
Session boundaries create hard resets. Close your terminal, switch to a new chat, or hit a rate limit—and all learned context vanishes. You're back to explaining your project structure from scratch.
There's no persistent memory layer. Unlike a human collaborator who builds understanding over time, AI assistants have no mechanism to carry knowledge between conversations.
What Developers Say
"Like supervising a junior developer with short-term memory loss"
— Reddit r/ClaudeAI
"Auto-compacting just obliterates important context"
— Twitter
"After 2-5 prompts it starts ignoring instructions"
— GitHub Issue #7777
"Forgets which skills were being used mid-session"
— GitHub Issue #13919
THE SOLUTION
Automated Session Management
CleanAim® captures context in a persistent database—not the context window. Architecture decisions, coding standards, learned patterns, and project-specific knowledge survive across sessions, compactions, and even model switches.
Our Session Handoff Protocol automates the transition between sessions. When one ends, critical context is extracted and prepared for the next. When a new session starts, relevant knowledge is injected automatically—no manual re-explanation required.
The result: your AI assistant remembers. Not because of a bigger context window, but because we've built memory infrastructure that sits outside the model entirely.
The Evidence
Session Handoff System
Database-persisted context that survives compaction, session ends, and model switches. 92% automated, 100% restore rate.
Stop re-explaining your codebase
See how CleanAim's session management preserves context across every conversation.
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