Agent Memory & Context Drift Diagnostic Workbench

⚙️ Strategy & Trace Editor

Memory Architecture Strategy

System Prompt

Execution Trace Sequence (8 Turns)

📊 Real-Time Telemetry & Context Buffer

Hybrid KV RAG

Context Window Composition Stack (Tokens per Turn)

Sys Prompt Tools History KV Cache

State Decay & Parameter Precision Trajectory

Retention Score Tool Accuracy

🎯 Diagnostic Benchmark

Overall Retention 0.92 Target: > 0.85

Context Efficiency +44% Saved vs Full Window

Tool Precision 0.96 Parameter Accuracy

Drift Status Optimal Low Noise Index

Recommended Architecture

Optimized Context Architecture Blueprint

Turn State Inspector

Select a turn on the left or click a chart node to inspect memory composition and parameter hallucination risks.

Assigned memory curves are illustrative rather than model benchmarks

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Read the explanation

The memory workbench assigns system tokens one hundred fifty and tool tokens two hundred fifty on every turn. Hybrid memory adds one hundred eighty history tokens and one hundred forty key value tokens. The displayed stack is therefore seven hundred twenty each turn. At half a pixel per token system and tools measure seventy five and one hundred twenty five, while combined history and key value memory measures one hundred sixty. The system prompt text and actual visitor input length do not determine those counts. This is a coded comparison of architectures, not tokenization or a real agent run. Full window assigns three hundred fifty history tokens for each previous turn. At turn eight, index seven, history is two thousand four hundred fifty and total stack two thousand eight hundred fifty. Hybrid remains seven hundred twenty. At one pixel per ten tokens these bars are two hundred eighty five and seventy two, with difference two hundred thirteen. The naive full total also includes a visitor proxy of eighty plus twenty times turn index, while displayed stacks omit it. The context efficiency label is a literal plus forty four percent for hybrid, not a calculation from accumulated token savings. Hybrid retention is one minus zero point zero zero nine per previous turn, floored at zero point nine two. Accuracy is one minus zero point zero zero five, floored at zero point nine five. At turn eight those round to zero point nine four retention and zero point nine seven accuracy. Full window at the same index rounds to zero point five one and zero point five five. At three hundred pixels per score, hybrid bars measure two hundred eighty two and two hundred ninety one, versus full retention one hundred fifty three. These assigned curves recommend an architecture without testing tools or a language model. Native edits and JSON can work before D3 fails during chart rendering; preserve that distinction.