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It teaches agents to plan, maintain long-term memory, and offload less useful context while they continue reasoning and using tools. For more details, see our [paper](https://arxiv.org/abs/2608.28476) and [code repository](https://github.com/Tencent/ContextPilot). ![ContextPilot overview](assets/contextpilot_overview.png) Overview ContextPilot combines three main components: - an extended context-management toolset with planning, structured memory, retrieval, and soft context offloading; - context-aware partial rollout that focuses exploration on sensitive context-editing decisions; and - fine-grained credit assignment that trains intermediate snapshots using the outcomes of their downstream branches. The resulting agents are evaluated on long-context question answering and deep-search tasks; see the [evaluation instructions](https://github.com/Tencent/ContextPilot/tree/main/infer#evaluation) for details. 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