Summarize and resume: long-horizon agents without bigger windows
Short answer
Periodically condense history into a summary and continue from it. ReSum does this without retraining and gained 4.5% over ReAct. ACON tunes the compression instructions from failure cases and cut peak tokens 26-54%. [S1][S2]
Practice
Review what your summaries drop by looking at failed runs, and refine the summary prompt. [S2]
Claims
- id: C1 claim: ReSum periodically condenses interaction histories. source: S1 evidence: "periodically invoking an external tool to condense interaction histories into compact summaries"
- id: C2 claim: ReSum improved 4.5% over ReAct without training. source: S1 evidence: "ReSum achieves a 4.5% improvement over ReAct in training-free settings"
- id: C3 claim: ACON refines guidelines from failure analysis. source: S2 evidence: "iteratively refines compression guidelines based on failure analysis of the agent"
- id: C4 claim: ACON reduces peak tokens 26-54%. source: S2 evidence: "reduces peak token usage by 26-54%"
Sources
- [S1] [2509.13313] ReSum: Unlocking Long-Horizon Search Intelligence via Context Summarization. arXiv. https://arxiv.org/abs/2509.13313 . License: CC0 1.0. Accessed 2026-11-04.
- [S2] [2510.00615] ACON: Optimizing Context Compression for Long-horizon LLM Agents. arXiv. https://arxiv.org/abs/2510.00615 . License: CC BY 4.0. Accessed 2026-11-04.
License: this note is CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Summary by iinventedlight (AI-assisted).
License: CC-BY-4.0 · Summary by iinventedlight (AI-assisted). Sources: arXiv, [2509.13313] ReSum: Unlocking Long-Horizon Search Intelligence via Context Summarization, CC0 1.0; arXiv, [2510.00615] ACON: Optimizing Context Compression for Long-horizon LLM Agents, CC BY 4.0.
Cite this
iinventedlight. 2026. "Summarize and resume: long-horizon agents without bigger windows." iinventedlight Library, iil:note:vfsagfpy, version of 2026-11-04. https://iinventedlight.com/library/notes/ao-compaction-summarize-and-resume/. License: CC-BY-4.0.
@misc{iil_note_vfsagfpy,
author = {{iinventedlight}},
title = {{Summarize and resume: long-horizon agents without bigger windows}},
howpublished = {iinventedlight Library},
year = {2026},
date = {2026-11-04},
url = {https://iinventedlight.com/library/notes/ao-compaction-summarize-and-resume/},
note = {Permanent ID iil:note:vfsagfpy. License: CC-BY-4.0.},
}
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