Sage-A1.5 发布：35B MoE 智能体模型强化长程任务与科学探索能力
Sage-A1.5: From Long-Horizon Execution to Scientific Exploration with Capability Composition
一个 35B 的 MoE 智能体模型 Sage-A1.5，能让多个子智能体并行分工干活，还会自己检查进度、换思路，甚至做探索性科学研究。
Sage-A1.5 是一个基于 A1 的 35B Mixture-of-E专家智能体模型，主打长程问题求解中的能力自适应组合。相比 A1，它在编排上引入子智能体任务委派与并行协作，子智能体使用隔离上下文以降低相互干扰。验证机制方面增加了进度检查、证据校验和反思式策略修正，可识别无效搜索路径并切换方案。该模型还把智能体能力延伸到开放式科学发现，支持探索性研究与可检视的研究产物生成。
Sage-A1.5: From Long-Horizon Execution to Scientific Exploration with Capability Composition
In this report, we introduce Sage-A1.5, a 35B Mixture-of-Experts agentic model that builds on A1 to advance long-horizon problem solving through adaptive capability composition. Compared with A1, Sage-A1.5 learns not only to solve individual tasks, but also to organize work and revise its approach during execution. Sage-A1.5 highlights three improvements: agentic orchestration, verification, and open scientific discovery. First, agentic orchestration extends single-agent execution through task delegation and parallel collaboration among subagents with isolated contexts, enabling complex tasks to be decomposed and addressed concurrently and supporting efficient execution while reducing interference across concurrent subagents. Second, agentic verification strengthens long-horizon reliability through progress checking, evidence validation, and reflective strategy revision, allowing the agent to recognize unproductive search paths and pursue alternative approaches. Third, open scientific discovery extends agentic capabilities beyond answering predefined questions to conducting exploratory research, connecting scientific inquiry with interactive analysis and inspectable research artifacts. We showcase these capabilities through complicated agentic tasks and multidisciplinary scientific applications. Besides, we hope Sage-A1.5 provides the community with an accessible foundation for open scientific discovery, offering a practical path from long-horizon task execution to collaborative, verifiable, and inspectable scientific exploration.