Hermes Agent v0.10 Ships Closed Learning Loop: Agent Creates Reusable Markdown Skill Files from Experience, Benchmarked at 40% Task Time Reduction

NVIDIA Blog·medium signal

Nous Research's Hermes Agent v0.10 (MIT license) ships 118 bundled skills, three-layer memory, and six messaging integrations. The core differentiator is the closed learning loop: when the agent solves a task, it writes a reusable Markdown skill file, stores the outcome in persistent memory, and adjusts its approach next time. TokenMix benchmarks show self-created skills cut research task time by 40% versus a fresh instance. At ~$0.30 per complex task on budget models and $5-10/month for always-on VPS hosting, the economics are viable for solo builders running personal agent infrastructure.