What problem does it solve?
Continuity-log solves the problem of losing high-value decisions and resume context during long, multi-turn, or compaction-heavy agent runs, which otherwise leads to repeated analysis and wasted cycles.
Core Features & Use Cases
- Compact-safe decision packets: Store outcomes of reasoning (decisions, evidence, rejected alternatives) instead of raw hidden chain-of-thought.
- Clear resume points: Record where the next turn should continue after interruptions, handoffs, or context compaction.
- Blockers, risks, and open questions: Preserve what is known, what is uncertain, and what must be revisited.
- Anti-duplication for future turns: Prevent re-running the same analysis by keeping load-bearing decisions and their justification.
- Use case: When an agent pauses due to time or context limits, the next run can quickly reconstruct the operational path without repeating the same reasoning.
Quick Start
Write a timestamped continuity entry capturing the objective, decision, evidence, rejected alternatives, and the exact resume point to the most appropriate continuity location for your run.