Your AI Agent Forgets Its Rules Every 45 Minutes. Here's the Fix.

Every AI coding agent has the same silent failure mode: context compression. When the conversation gets long enough, the LLM compresses earlier messages to make room. Your carefully crafted system prompts, project rules, and behavioral constraints? Gone. The agent keeps working, but now it's working without guardrails. This isn't theoretical. We run a 6-agent production system that processes thousands of tool calls per day. Before we fixed this, agents would silently lose their CLAUDE.md instructions, forget which files they'd already modified, and repeat work they'd done 30 minutes ago. The worst part: they never told us. They just kept generating confident, rule-violating output. The Problem: Invisible Knowledge Loss LLMs have finite context windows. Claude's is 200K tokens. Sounds like a lot — until your agent has read 40 files, run 80 commands, and accumulated 150K tokens of conversation history. At that point, the system compresses. Earlier messages get summarized or dropped entir