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Context Window Management

🧠 Agent Memory⏱ 12 min⭐ 90 BASE XP

Surviving Long Horizons

Even with 1-million token context windows, an agent running for hours will run out of space or suffer from the "Lost in the Middle" phenomenon (where it ignores instructions in the middle of a huge prompt).

Compaction & Distillation

When the context grows too large, the Orchestrator pauses the agent, passes the history to a summarization model, and replaces the massive history block with a dense summary.

# Before Compaction: [Msg1 ... Msg100] (50k tokens)
# After Compaction: [Summary_Msg, Msg95... Msg100] (2k tokens)
SYNAPSE VERIFICATION
QUERY 1 // 1
What is the 'Lost in the Middle' phenomenon?
When an API connection drops halfway through
When an LLM fails to retrieve or recall information placed in the middle of a massive context window
When an agent deletes its own memory
When vector search returns 0 results
Watch: 139x Rust Speedup
Context Window Management | Agent Memory — AI Agents Academy