# agent-harness

Kun Chen mapped his daily agent fleet: one "firstmate" managing persistent "secondmates," which spin up disposable "crewmates" per task. Each crewmate gets routed to whichever model is the best deal for the job. gu-log runs its own translation pipeline on the exact same logic.

Without guardrails like CI, the pre-commit gate, the tribunal, and the validator, how bad do AI-written articles get? gu-log has 500+, and the answer needs no imagination — this post, SD-26, is the specimen: it passed every score and still read very AI. The story of a picky editorial desk.

An arXiv paper found that inline grep often beats vector retrieval on long-memory conversational QA, while AKBP turns agent memory into a local-first, review-gated, file-backed protocol. Together, they point to the same lesson: agent memory is not a search feature. It is systems engineering.

OpenClaw and Hermes are both handing low-level coding-agent execution to Codex app server. This is not just a model switch. It is the agent product stack separating model, execution engine, and chat surface.

A context window is a model's day: how many lessons, messages, tool results, and task events Ryland can experience before sleep, compression, or collapse.

Hermes Agent and OpenClaw shipped big releases the same day. Hermes v0.10.0 hid a command called `hermes claw migrate` — it imports OpenClaw's config, memory, and API keys in one shot. ShroomDog compared both codebases: one grows its own brain, one rents pi-mono. Stay or move?