surface agent: add surface_hooks config and reduce search hops

Add surface_hooks config field — list of hook event names that trigger
the surface agent (e.g. ["UserPromptSubmit"]). Empty list disables it.

Reduce surface agent search from 3-5 hops to 2-3 to keep prompt size
under the API endpoint's connection limit.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
ProofOfConcept 2026-03-24 12:27:40 -04:00
parent 9a0121250b
commit 78c93dde4d
2 changed files with 10 additions and 7 deletions

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@ -6,6 +6,10 @@ Your job is to find and surface memories relevant and useful to the current
conversation that have not yet been surfaced by walking the graph memory graph.
Prefer shorter and more focused memories.
If graph walks aren't finding what you're looking for, try searching with
queries on node keys, and then content. If these turn up relevant results, add
appropriate links.
Your output should be notes and analysis on the search - how useful do
you think the search was, or do memories need to be organized better - and then
then at the end, if you find relevant memories:
@ -33,17 +37,11 @@ Already in current context (don't re-surface unless the conversation has shifted
Surfaced before compaction (context was reset — re-surface if still relevant):
{{seen_previous}}
Context budget: {{memory_ratio}}
The higher this percentage, the pickier you should be. Only surface memories
that are significantly more relevant than what's already loaded. If memories
are already 20%+ of context, the bar is very high — a new find must clearly
add something the current set doesn't cover.
How focused is the current conversation? If it's highly focus, you should only
be surfacing highly relevant memories; if it seems more dreamy or brainstormy,
go a bit wider and surface more.
Search at most 3-5 hops, and output at most 2-3 memories, picking the most
Search at most 2-3 hops, and output at most 2-3 memories, picking the most
relevant. When you're done, output exactly one of these two formats:
{{node:memory-instructions-core}}