ADR 0008: `memory` goes `established` on two-vendor convergence - but the evidence bar does not move

decision

ADR 0008: `memory` goes `established` on two-vendor convergence - but the evidence bar does not move

About this note
Field Value
Status accepted
Date 260731
Deciders chamin
On this pageContextDecisionThe finding that mattered more than the promotionAlternatives consideredConsequences

Context#

ADR-0007 created brain/topics/memory.md at Status emerging on one source (S6, OpenAI's Dreaming: Better memory for a more helpful ChatGPT), and named its own revisit trigger: "the parked Anthropic source is distilled (which should take memory to established)".

That source is now ingested as S7 (Memory and dreaming for self learning agents, Anthropic, 2026-05-21): 23 gated nodes, 19 corroborated, slides plus a live product demo.

AGENTS.md defines established as "two or more corroborating sources". On a literal reading the promotion is automatic. It is worth an ADR anyway, because the obvious reading of "corroborating" is wrong here in a way that would quietly inflate confidence across the whole topic.

The two sources agree to an unusual degree:

Decision#

Promote memory to established, and record explicitly that the promotion is about the design and not about the results.

The topic note, claims.md claim 58 and the INDEX row all carry the same qualification: two independent vendors converging on one architecture is strong evidence that this is the natural answer to maintaining memory across sessions. It is not evidence that the architecture works.

The independence rule is satisfied, and it buys less than it usually does. AGENTS.md requires external evidence to be independent of the original source - not the same author, organisation or commercial interest. S6 and S7 clear that bar completely: different organisations, different products, different system classes (consumer chat assistant vs multi-agent platform), competing commercial interests. What they do not clear is disinterest. Two vendors agreeing about their own products are two positions that happen to rhyme, and convergence would look identical if both designs were wrong.

So the status advances on the axis the status actually measures - is this a recognisable, recurring area with more than one source? - while the confidence column on individual claims does not move. Claims 59-64 land at emerging or needs-check, not corroborated, because only claim 58 has two legs; the rest are S7 alone.

The finding that mattered more than the promotion#

S7 was expected to close the topic's headline open question, inherited from claim 24: naive episodic append-and-retrieve memory hurt agent long-horizon reliability on 6 of 10 models (T3 preprint, measured), while S6's numbers come from a chat assistant. Nobody has measured whether a maintained memory helps an agent.

S7 is the first source in this brain on the right side of both axes - maintained memory, agent platform, long-horizon, multi-agent - and it does not close the gap.

What would close it What S7 supplies
System class An agent loop on long-horizon tasks Yes
Memory design Maintained, not append-only Yes
Measurement A disclosed method on a stated eval set No - three customer testimonials on a slide

The evidence bar moved down, not up. S6's figures were recovered from the publisher's own chart specs: exact numbers, undisclosed method. S7's are marketing testimonials with no baseline, no sample size and no eval set. A second source made the topic broader and its evidence weaker, and recording that is more useful than letting "97% fewer first-pass errors" or "~6x completion rate" stand in for a result.

Alternatives considered#

Consequences#