The Hermes Model Family by Version: From Nous-Hermes 13B to Hermes 4.3
Nous Research's Hermes models run from a 2023 LLaMA 13B fine-tune to Hermes 4.3 on Seed-OSS-36B. Every version, base, licence and how to inventory one.
Deep dives, practical guides, and incident analyses from engineers who build Safeguard. No fluff, no vendor FUD — just what you need to ship secure software.
Nous Research's Hermes models run from a 2023 LLaMA 13B fine-tune to Hermes 4.3 on Seed-OSS-36B. Every version, base, licence and how to inventory one.
Eight ways agents improve themselves, from reflection to weight training: what each one changes, who checks the change and how you roll it back safely.
Record model, agent version, skills, task, tools and human approver for every agent-made commit, skill and memory change, then sign it as SLSA provenance.
Published systems improve their own prompts, skills and agent code on fixed benchmarks. None shows a compounding loop that retrains its own model.
Self-improving agents learn by rewriting notes, memory and skill code between tasks, not weights. How Reflexion, Voyager and MemGPT work, and the risks.
A self-extending agent installs packages and writes skills, scripts, cron jobs and MCP configs. Treat each as a supply chain artifact: pin, review, sign.
Hermes Agent learns through two capped memory files, self-written skills, SQLite session search and a background review. How each works and is gated.
Hermes Agent is Nous Research's MIT-licensed agent that keeps memory, writes its own skills and searches old sessions. What it is and how to run it safely.
A USN announces fixed Ubuntu packages; OVAL, OSV and VEX feeds carry the same data for machines. How each works, and how to run, parse and trust them.
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