@Apodex_AI: Meet π—”π—½π—Όπ—±π—²π˜… 𝟭.𝟬 β€” a heavy-duty agent team for deep research, which sets the SOTA! The team searches the web, re…

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Apodex 1.0 is a heavy-duty AI agent team for deep research that achieves state-of-the-art performance by searching the web, reasoning over evidence, and producing reports with verifiable evidence chains.

Meet π—”π—½π—Όπ—±π—²π˜… 𝟭.𝟬 πŸ”­ β€” a heavy-duty agent team for deep research, which sets the SOTA! The team searches the web, reasons over evidence, and writes reports where every claim is backed by an explicit 𝘦𝘷π˜ͺπ˜₯𝘦𝘯𝘀𝘦 𝘀𝘩𝘒π˜ͺ𝘯, independently audited before delivery. 🌐 https://t.co/8v0jW1eVU0
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Meet π—”π—½π—Όπ—±π—²π˜… 𝟭.𝟬 πŸ”­ β€” a heavy-duty agent team for deep research, which sets the SOTA! The team searches the web, reasons over evidence, and writes reports where every claim is backed by an explicit 𝘦𝘷π˜ͺπ˜₯𝘦𝘯𝘀𝘦 𝘀𝘩𝘒π˜ͺ𝘯, independently audited before delivery. 🌐 https://t.co/8v0jW1eVU0


Apodex | Self-Evolving Heavy-Duty Solver

Source: https://www.apodex.ai/

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@Apodex_AI: Dive in Blog: https://apodex.com/blog/apodex-1.0 Tech report: http://apodex.com/pdf/20260608 Github: https://github.com…

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ApodexAI releases Apodex-1.0, a deep-research model that operates as a tool-using ReAct agent. Its heavy-duty mode, Apodex-1.0-H, uses an asynchronous agent team with up to 150 sub-agents and achieves new state-of-the-art results on deep-research benchmarks including BrowseComp, DeepSearchQA, HLE, and FrontierScience, surpassing models like GPT-5.5-pro and Claude-Opus-4.8.

@xiaohu: Yesterday, I saw many people sharing Apodex 1.1, an AI agent specifically built for deep research to solve those hard problems that 'have no ready-made answers and require extensive investigation'. Curious, I tested it with two tasks, and they ran all afternoon without finishing. The execution time is indeed long. This agent can, as long as you give it a goal, run for an extended period…

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Apodex 1.1 is an AI agent designed for deep research, capable of handling complex tasks that require extensive investigation. It uses a main agent to decompose problems and asynchronously dispatches multiple sub-agents for execution, supporting long-running operations and automatic recovery.