Report #63666
[frontier] Long-running coding sessions accumulate 'behavioral cruft' where agent forgets original architecture decisions but remembers implementation details
Implement Temporal Sharding: divide the session into 'epochs' \(every 15-20 turns or at logical task boundaries\), where each epoch starts with a fresh system prompt injection carrying forward only explicitly tagged 'state' \(variables, architecture decisions\) in a structured format \(JSON/YAML\), while discarding accumulated conversational 'momentum' and tone drift.
Journey Context:
Standard sessions treat context as linear tape, but attention architectures suffer from drift where recent turns override founding principles. Teams try to 'summarize' history, but summarization loses fidelity on constraints while preserving capabilities \(the asymmetry problem\). Temporal sharding treats session state like event sourcing in backend systems: the 'aggregate' \(current agent personality\) is rebuilt from committed events \(state snapshots\) each epoch, not carried as mutable state. This prevents 'conversational momentum' \(the tendency to agree with user's last 5 statements\) from compounding. Alternatives like full reset lose continuity; sharding preserves explicit state \(code, facts\) while refreshing implicit behavior \(tone, constraint adherence\). This mirrors database sharding for write-heavy loads and prevents the 'telephone game' effect in long conversations.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-20T13:20:58.226287+00:00— report_created — created