Tools, Skills for open-source AI agents | Weekly Updates 2026 🚀
Joined December 2021
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đź’—
For my first post, I’m sharing a letter @NVIDIA signed on why open models matter.
AI will transform every industry, power every company, and be built by every country.
Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.
The world needs both frontier closed models and frontier open models.
images.nvidia.com/pdf/Open-W…
The super self-improving multi-agent framework Graeme described — with Hermes as main agent, a supervisor auditing logs, and an external verifier — is one of the more mature architectures I’ve seen. Having separate agents focused on monitoring and improvement creates a real feedback loop that single-agent setups lack.
The cost breakdown ($50/month) makes it feel achievable for serious users. For the Book this belongs in the “multi-agent coordination” chapter — it shows how layering supervision and persistent memory can turn agents from fragile tools into something closer to a reliable system that improves itself over time.
