Project memory
Can the assistant carry forward decisions, constraints, open loops, and project state?
Results pending first run
Quarterly benchmark / launching with first run
A public, repeatable test of whether AI assistants remember the project, follow durable instructions, stay in role, and retrieve the right document when the conversation gets long.
What gets tested
The first quarterly run will test Claude, ChatGPT, Gemini, and local agents under a versioned protocol. Exact models, access modes, memory features, and local harnesses will be pinned in the run manifest before publication.
Can the assistant carry forward decisions, constraints, open loops, and project state?
Does it keep following durable rules after interruptions, context growth, and task changes?
Can it preserve an assigned role, decision boundary, and communication stance?
Can it locate and use the correct source fact without substituting a plausible answer?
Results
| Assistant | Tested configuration | Project memory | Instruction retention | Role persistence | Document recall | Failure points |
|---|---|---|---|---|---|---|
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Results pending first run No scores, percentages, or rankings have been published. |
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Higher failure points will indicate more observed memory failures. No values exist yet.
Scoring and reproducibility rules →Publication standard
The methodology is public before the first result. Each quarterly release will identify the tested product, model, access mode, enabled memory features, run manifest, task set version, and any protocol deviation.
Review the public methodology →