Self-Archaeology

Problem

When the agent asks itself 'what have I learned about X', the linear log gives every entry equal weight. There is no visible trajectory — no 'in period 1 I thought X; in period 2 I revised to Y; now I hold Z'. Mistakes and corrections sit side-by-side with no signal as to which is current. The agent cannot see its own learning, only the texture of having thought.

Solution

Periodically (e.g. every N ticks, or on demand) run a compaction pass that groups recent thoughts on the same topic, extracts the position the agent held in each period, and writes a short trajectory note: '(period 1, dates) held position A; (period 2) revised to B because evidence Z; (period 3) now holds C'. Store these trajectory notes in a dedicated topic-keyed surface (one note per topic) and index them by topic. On any topic-related query, surface the latest trajectory note before raw thoughts. Mark superseded positions explicitly so they don't compete with the current one for attention.

When to use

• The agent runs long enough that its position on a topic genuinely changes across days or weeks.
• Humans need the agent to articulate how its understanding has evolved, not just its current view.
• An append-only thought stream or comparable trajectory log already exists to mine.