multi turn context management

5 articles · 15 co-occurring · 0 contradictions · 1 briefs

ACE specifically addresses how to manage context across multiple agent episodes, with strategies persisting and evolving

Related concepts

tool integration patterns 2 multi agent orchestration 2 tool use and context 1 structured context organization 1 state preservation across operations 1 state persistence across sessions 1 state management 1 session persistence 1 retrieval augmented learning 1 retrieval augmented generation 1 prompt engineering automation 1 prompt engineering 1 memory persistence across sessions 1 feedback loops 1 external memory for agents 1

Signal history

2026-W12

Evidence chain (5 articles, showing 5)

Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models extends

ACE specifically addresses how to manage context across multiple agent episodes, with strategies persisting and evolving

@Hesamation: LLM agents use static skills. but you can evolve them over time. this paper c... extends

Extends beyond single conversation to managing context across agent interactions at scale

@realtron: Built an agent trace viewer with a timeline UI. Works with @badlogicgames' pi... example_of

The trace viewer is managing visibility of context across multiple turns in agent sessions. Timeline UI is a solution to the multi-turn context problem.

@NirDiamantAI: OpenHands resolves GitHub issues by reading issue descriptions, writing code,... example_of

OpenHands explicitly requires maintaining context across multiple turns/operations (issue reading → coding → testing → PR submission), making this a concrete example of multi-turn context challenges

@ClementDelangue: We keep saying we want open-source frontier agents. example_of

Agent traces are inherently multi-turn sequences; the proposal to crowdsource them is about systematizing how to preserve and learn from full interaction context across sessions.

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