alt Hacker NewsInteresting. I’ve been playing with something similar, at the coding agent harness message sequence level (memory, I guess). I’m looking at human driven UX for compaction and resolving/pruning dead ends
Interesting. I’ve been playing with something similar, at the coding agent harness message sequence level (memory, I guess). I’m looking at human driven UX for compaction and resolving/pruning dead ends
Human-driven compaction is interesting — you sidestep the "what's worth keeping" problem by putting a person in the loop. The tradeoff I've hit is that agents running autonomously need it to happen automatically or coherence degrades fast between sessions.
For pruning we landed on a last-touched timestamp + recall frequency counter per memory. Things not accessed in N sessions that were weakly formed to begin with get soft-deleted. Human review before hard delete is probably better UX if your setup allows it.
Curious what "dead ends" look like in yours; conversational chains that didn't resolve, or factual ones?