{"schema_version":"onlylabs.public_signal.v1","title":"Tencent Hunyuan Model: tencent/ContextPilot-8B","description":"Tencent Hunyuan model signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/4cda8ded-300a-48f7-8fc4-884f42ab3e4a","json_url":"https://onlylabs.fyi/signals/4cda8ded-300a-48f7-8fc4-884f42ab3e4a/signal.json","generated_at":"2026-09-01T15:13:43.612Z","evidence_latest_fetched_at":"2026-08-31T07:20:23.729783+00:00","signal_first_seen_at":"2026-08-31T07:20:09.779852+00:00","org":{"slug":"tencent-hunyuan","name":"Tencent Hunyuan","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/tencent-hunyuan","dossier_json_url":"https://onlylabs.fyi/labs/tencent-hunyuan/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/4cda8ded-300a-48f7-8fc4-884f42ab3e4a","signal_json":"https://onlylabs.fyi/signals/4cda8ded-300a-48f7-8fc4-884f42ab3e4a/signal.json","source":"https://huggingface.co/tencent/ContextPilot-8B","lab_dossier":"https://onlylabs.fyi/labs/tencent-hunyuan","lab_dossier_json":"https://onlylabs.fyi/labs/tencent-hunyuan/dossier.json","analysis":"https://onlylabs.fyi/analysis/tencent-hunyuan","analysis_json":"https://onlylabs.fyi/analysis/tencent-hunyuan/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/tencent-hunyuan/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":"https://onlylabs.fyi/topics/releases","topic_signals_json":"https://onlylabs.fyi/topics/releases/signals.json","topic_feed":"https://onlylabs.fyi/topics/releases/feed.xml","data_business":null},"answer_pack":{"answer":"Tencent Hunyuan published tencent/ContextPilot-8B. 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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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