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Evaluation Harness

Benchmark and evaluation tooling for measuring retention quality, retrieval accuracy, and memory drift.

Coming SoonMemory Quality Evaluation

Overview

This page now includes architecture, use cases, and benchmark-oriented content specific to this product track.

Next steps

Interested in this track? Explore adjacent lab work or contact us for collaboration and pilot opportunities.

Architecture

  • Ingestion connectors for conversations, docs, and execution systems
  • Memory index layer for contextual retrieval
  • Reasoning layer for explanation and trace generation
  • Governance layer for retention and access control

Use cases

  • Institutional context retrieval
  • Decision trace reconstruction
  • Onboarding with historical rationale
  • Evaluation Harness integration pilots

Benchmarks and targets

Benchmarks below represent maturity progression from baseline workflows to target memory-native behavior.

Retrieval relevance

Baseline: Keyword only

Current: Hybrid retrieval

Target: Hybrid + graph context

Context latency

Baseline: Manual search

Current: Single-hop retrieval

Target: Low-latency contextual recall

Explanation quality

Baseline: Link list

Current: Structured summary

Target: Causal trace with citations

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