Automated Session Management
Context preserved in databases, not chat history. Your AI agent remembers—permanently.
The Problem It Solves
Context Loss: AI agents get 'dumber after compaction.' Context windows fill, sessions end, and everything learned disappears.
How It Works
CleanAim® captures context in a persistent database—not the AI's context window. Architecture decisions, coding standards, learned patterns, and project-specific knowledge survive across sessions, compactions, and model switches.
The Session Handoff Protocol automates transitions between sessions. When one ends, critical context is extracted and prepared for the next. When a new session starts, relevant knowledge is injected automatically.
Key Components
Session Handoff Data
Structured data capturing what was completed, decisions made, and next steps. Auto-generated at session end.
Context Repository
Persistent storage for architectural decisions, patterns, and project knowledge outside the context window.
LATEST-SESSION Symlink
Always points to most recent handoff. New sessions start by reading this for instant context restoration.
Orphan Pairing Service
Even aborted sessions get their predictions paired with outcomes. No context is ever truly lost.
The Evidence
This solution addresses Context Loss. But the deepest verification comes from behavioral liveness — proving that data actually flows end-to-end. Learn how Silent Wiring works →
Stop re-explaining your codebase
See how session management works in your workflow.
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