{"schema_version":"onlylabs.public_signal.v1","title":"InclusionAI (Ant Group) Writing: AWorld: The Agent Runtime for Self-Improvement","description":"InclusionAI (Ant Group) writing signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/53a71342-738c-4be5-8617-0f2e49ecdc3f","json_url":"https://onlylabs.fyi/signals/53a71342-738c-4be5-8617-0f2e49ecdc3f/signal.json","generated_at":"2026-06-11T03:23:10.368719+00:00","org":{"slug":"inclusionai","name":"InclusionAI (Ant Group)","category":"neolab","category_label":"Neolab","dossier_url":"https://onlylabs.fyi/labs/inclusionai","dossier_json_url":"https://onlylabs.fyi/labs/inclusionai/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/53a71342-738c-4be5-8617-0f2e49ecdc3f","signal_json":"https://onlylabs.fyi/signals/53a71342-738c-4be5-8617-0f2e49ecdc3f/signal.json","source":"https://www.inclusion-ai.org/blog/aworld","lab_dossier":"https://onlylabs.fyi/labs/inclusionai","lab_dossier_json":"https://onlylabs.fyi/labs/inclusionai/dossier.json","analysis":"https://onlylabs.fyi/analysis/inclusionai","analysis_json":"https://onlylabs.fyi/analysis/inclusionai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/inclusionai/evidence.json","category":"https://onlylabs.fyi/neolabs","category_json":"https://onlylabs.fyi/neolabs.json","category_feed":"https://onlylabs.fyi/neolabs/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neolab","topic":"https://onlylabs.fyi/topics/talking","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json?category=neolab","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml?category=neolab","data_business":null},"answer_pack":{"answer":"InclusionAI (Ant Group) published AWorld: The Agent Runtime for Self-Improvement. This talking signal gives public context for research themes, product direction, policy, or launch framing. 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Introduction — Overview and purpose of the project. Installation — Step-by-step setup instructions. Quick Start — Get started with usage examples. Architecture — Explore the multi-agent system design. Demo — See the project in action with demonstrations. Contributing — How to get involved and contribute. License — Project licensing details. News ​ 🦤 [2025/07/07] AWorld, as a runtime, is now ready for agentic training. See Self-Improvement section for details. We have updated our score to 77.08 on the GAIA test. Learn how to construct a GAIA runtime in the Demo section . 🦩 [2025/06/19] We have updated our score to 72.43 on the GAIA test. Additionally, we have introduced a new local running mode. See ./README-local.md for detailed instructions. 🐳 [2025/05/22] For quick GAIA evaluation, MCP tools, AWorld, and models are now available in a single Docker image. 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Quick Start — Get started with usage examples. Architecture — Explore the multi-agent system design. Demo — See the project in action with demonstrations. Contributing — How to get involved and contribute. License — Project licensing details. News ​ 🦤 [2025/07/07] AWorld, as a runtime, is now ready for agentic training. See Self-Improvement section for details. We have updated our score to 77.08 on the GAIA test. Learn how to construct a GAIA runtime in the Demo section . 🦩 [2025/06/19] We have updated our score to 72.43 on the GAIA test. Additionally, we have introduced a new local running mode. See ./README-local.md for detailed instructions. 🐳 [2025/05/22] For quick GAIA evaluation, MCP tools, AWorld, and models are now available in a single Docker image. 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