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Context Engineering for Agents

Techniques for constructing, pruning, and augmenting context windows to improve LLM agent performance and reliability.

23 papers · 3 months

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  1. June 2026

    Pruning context to recent tool calls improves agent reliability and efficiency

    Pruning context to recent tool calls improves reliability and efficiency, comparing four context engineering strategies.

  2. June 2026

    An agentic framework that fills in missing context for real-world image generation

    Agentic framework that fills in missing context for real-world image generation via Context-Aware Planning.

  3. 14 further papers

    Sept 2026 · University of California San Diego

    Coding agents retrieve better by targeting missing evidence sets

    Proposes MSS-Complement retrieval that targets missing evidence, directly improving context construction for coding agents.

  4. 1 further paper

    Sept 2026 · Southern University of Science and Technology, Peking University

    Selective attention calls, guided by model's own state, speed long-context inference

    ODA uses a trained recall head to selectively invoke global attention during long-context inference, directly optimizing context access efficiency.

  5. Sept 2026 · NLPR&MAIS, Institute of Automation, Chinese Academy of Sciences

    Bounded visual workspaces improve multimodal agents’ accuracy and efficiency

    Bounded visual workspace via ledger storage reduces context length and improves accuracy.

  6. Sept 2026 · Carnegie Mellon University, Bosch Center for AI

    Dropping Rather Than Rewriting Context Cuts Long-Horizon Agent Costs

    Proposes a context-compaction method that truncates rather than rewrites, reducing errors and costs in long-horizon agent tasks.

    released code

  7. Sept 2026 · Shanghai Jiao Tong University, Theseus Labs

    Restructuring agent environments improves performance on noisy, evolving tasks

    Introduces Env-Rethink, which restructures agent environment information to improve performance on noisy tasks.

  8. Sept 2026 · TierFlow Team, Renmin University of China

    Agents Can Drop Old Reasoning After Externalizing Task State

    Shows that agents can drop old reasoning after externalizing task state using online compression, reducing token use and improving accuracy on WorkBuddyBench.

8 of 23 papers shown