Apodex 1.1 turns agents into teams

The important shift is not simply running six chatbots at once; it is treating orchestration, persistence, and verification as core model behavior. That could make agent swarms genuinely useful for complex work, though the benchmark claims still deserve independent validation.

• –Agent Team outperformed Apodex 1.1’s ReAct setup across six reported benchmarks, including APEX-Agents, GDPVal, and FrontierScience-Research.
• –FrontierAgent provides an open-source terminal runtime with ReAct and Agent Team modes, lowering the barrier to local experimentation. [GitHub](https://github.com/ApodexAI/FrontierAgent)
• –Persistent task boards let users steer work mid-run while preserving completed artifacts and dependencies.
• –Statement Review adds an independent check for important sources, calculations, and claims.
• –Parallel coordination adds inference and synchronization costs, so the approach makes most sense for wide, research-heavy jobs rather than every linear coding task.