The One-Person Company Is a Coordination Problem
I am exploring how a one-person company can use agents, observability, and market intelligence without turning automation into an ungoverned second company.
I am exploring how a one-person company can use agents, observability, and market intelligence without turning automation into an ungoverned second company.
A practical, architectural comparison of Hermes, OpenClaw, NanoClaw, ZeroClaw, and IronClaw, and why a layered agent system beats picking one winner.
A repeatable way to download, serve, benchmark, and choose small GGUF models for Hermes and coding-agent work across different CPU and memory budgets.
A practical guide to using Hermes Agent with a local Gemma model for routine coding work, while reserving cloud models for tasks that genuinely need them.
从 Prime Agent、Cloudflare Computer、agent-skills、mattpocock/skills 和 Superpowers 看 Agent 基础设施正在如何从聊天框走向持久工作台、长任务运行时和工程方法论。
Notes on turning repeated AI workflows into scripts, skills, cron jobs, and guardrails so agents become cheaper, safer, and more useful over time.
A practical reflection on prompt, context, memory, loop, and graph engineering, and what each layer reveals about working with LLMs day to day.
A practical walkthrough for moving Hermes API keys out of local env files and into Bitwarden Secrets Manager, with verification and cleanup steps.
A practical note on promoting repeated AI workflows into slash commands, scripts, and cron jobs, weighing judgment, cost, and safety trade-offs.
How I wired Hermes Agent to accept Telegram voice notes, transcribe them locally, and reply with local text-to-speech without adding another paid speech API.
How I tightened my Hermes agent setup after adding a local model for PII and credential-sensitive work: tool limits, manual approvals, and a quiet watchdog.
Why I run Hermes Agent inside OpenShell when it reads untrusted content, and how filesystem, network, process, and credential policy change the security model.
How I gave Hermes a persistent local code graph, semantic diagnostics, and stable project instructions without turning agent memory into a stale symbol index.
A practical setup giving an AI agent read-only access to debug QA and production on GCP, AWS, GKE, and EKS without touching workloads or secrets.
How I wired Hermes Agent on a remote Linux box into Telegram, email, calendar, error monitoring, GitHub, and a daily morning briefing routine.
React Native's default JS engine moved from JSC to Hermes for faster startup and lower memory use, and here is how to control which one your build uses.