Billion-context: layered compression lets agents restore billion-token history
Unlike one-shot summaries, restoring original content on demand means day-one decisions remain traceable after weeks-long sessions with multiple refactors — no detail is permanently lost to compression. Developers running long-horizon coding or tool-using agents can adopt it across Claude Code, Codex, OpenCode and DeepSeek Harness to cut token costs while keeping history searchable.
