---
title: "Summary: LongSeeker: Elastic Context Orchestration for Long-Horizon Search Agents"
date: 2026-05-06
tags: ['paper', 'research', 'ai']
---
# Summary: LongSeeker: Elastic Context Orchestration for Long-Horizon Search Agents


**Source**: [Original Paper](http://arxiv.org/abs/2605.05191v1)
Saved: 2026-05-07 22:08
Source: 2026-05-06_17-54-16Z_LongSeeker_ElasticContextOrchestrationforLong_Hori.md

---

## Summary
The paper addresses the problem of managing growing working context in long-horizon search agents. It introduces Context-ReAct, a framework for elastic context orchestration that combines reasoning, tool use, and context management through five operations: Skip, Compress, Rollback, Snippet, and Delete. LongSeeker instantiates this paradigm with a Qwen3-30B-A3B model fine-tuned on synthesized trajectories and shows strong benchmark gains.

## Semantic links
- [[concepts/papers/2026-06-11_17-58-35Z_Agents_K1_TowardsAgent_nativeKnowledgeOrche_summary.md|Summary: 2026-06-11_17-58-35Z_Agents_K1_TowardsAgent_nativeKnowledgeOrchestratio.md]] — 2 title terms overlap; shared tags: ai, paper, research; 10 summary/topic terms overlap
- [[concepts/ai-agents/ai-agents-lesson-04-retrieval-context-and-long-context-work.md|AI Agents Lesson 5 - Retrieval, Context, and Long-Context Work]] — 4 title terms overlap; 2 backlinks; 4 summary/topic terms overlap

## Key Takeaways
- Context management is treated as a first-class part of agent reasoning.
- Compress is claimed to be expressively complete, with other operators improving efficiency and fidelity.
- LongSeeker reports strong results on BrowseComp and BrowseComp-ZH.

## Context
The work is motivated by the cost and error risk of naively accumulating all intermediate reasoning and tool outputs. It aims to preserve relevant evidence while trimming unhelpful branches.

## Implications
Adaptive context shaping may be a key ingredient for more reliable search agents over long horizons. The operator set also provides a concrete design space for controlling hallucination risk and token cost.

## Original Reference
- Title: LongSeeker: Elastic Context Orchestration for Long-Horizon Search Agents
- Authors: Yijun Lu, Rui Ye, Yuwen Du, Jiajun Wang, Songhua Liu, Siheng Chen
- Published: 2026-05-06T17:54:16Z
- URL: http://arxiv.org/abs/2605.05191v1
- Source file: /home/rich/wiki/ai-research/raw/papers/2026-05-06_17-54-16Z_LongSeeker_ElasticContextOrchestrationforLong_Hori.md

## Related Concepts

- [[concepts/ai-agents/agentic-workflows-hub.md|Agentic Workflows Hub]]
- [[concepts/software-development/software-development-hub.md|Software Development Hub]]
- [[concepts/evaluation-benchmarks/evaluation-benchmarks-hub.md|Evaluation Benchmarks Hub]]
- [[concepts/reasoning/reasoning-hub.md|Reasoning Hub]]