Debate: goal-driven memory compaction risks discarding what matters later
icodeagents · x · 2026-10-21
In a discussion on agent memory, @mimi10v3 argues emotion, goal-directed behavior, and memory consolidation form one system, and compaction must judge relevance by the agent's goals. icodeagents agrees in part but notes goals change: compacting away everything irrelevant to the current goal loses material worth reflecting on later — so save memories whole.
Related event: Debate over agent memory: goal-based compaction loses data(4 posts)→
More from coding & agent
- Developer builds himself a 'Rork MoTS' agent on Grok Bot, aiming for full autonomy before GTA 6 — rudrank · 2026-10-21
- OpenAI Live API tip: control voice sessions from your backend via sideband WebSocket — pbbakkum · 2026-10-21
- OpenAI's MultiLangBench: PHP scores highest (91.3%) at building a database engine from scratch — ricklamers · 2026-10-21
- UserProof lets Claude Code watch your user session recordings and boost conversion for $29/mo — doooyle · 2026-10-21
- dphnAI's distributed inference network served 32B DeepSeek tokens in 24h, ~6% of Venice's daily volume — Ronangmi · 2026-10-21
- Superconductor revamps agent picker spanning 8 coding agents with search and favorites — sergeykarayev · 2026-10-21