Optimizations & self-improving agents
Key Questions
What optimizations does SkillWeaver from Alibaba provide?
SkillWeaver uses a SAD feedback loop for compositional tool routing, achieving 99% token reduction through DAG execution plans and compatibility checking.
How do Kimi K2.6 day-long swarms function?
They support swarms with 300 sub-agents over 4k steps while managing orchestration limits and incorporating self-learning RL capabilities.
What is the role of granular decomposition in self-improving agents?
It remains a key bottleneck; frameworks like SkillWeaver address it by skipping unnecessary tool loading and optimizing routing dynamically.
Climaxing. Kimi K2.6 days-long swarms (300 subs/4k steps/orch limits); self-learning RL; Autogenesis gap/fix/rollback; ML-Master Caching; SkillClaw (+88%)/Mastra (95%)/Nemotron; SuperLocalMemory/memory transfer; Qwen3.6/Hermes local skills. New: SkillWeaver (Alibaba) — SAD feedback loop for compositional tool routing, 99% token reduction, DAG execution plan, compatibility checking. Reinforces granular decomposition as bottleneck.