Hermes AI assistant, officially documented as Hermes Agent, is not positioned as a simple chat wrapper.

OpenClaw has two extension stories, and they are easy to mix up.

Plugins extend the runtime. Skills extend the agent’s behavior.

This article is about OpenClaw plugins — native gateway packages that add channels, model providers, tools, speech, memory, media, web search, and other runtime surfaces.

OpenClaw looks simple in demos. In production, it becomes a system.

The real argument is not whether PostgreSQL can search text or whether Elasticsearch can store documents. Both can. The interesting question is where search complexity should live.

Alerting gets described as a monitoring feature far too often. That framing is convenient, but it hides the real problem.

Slack integrations look deceptively easy because you can post a message in one HTTP call. The interesting part starts when you want Slack to be interactive and reliable.

Discord becomes a serious integration surface when you treat it like one: a place where systems publish events, humans make decisions, and automation continues the workflow.

Chat platforms have evolved far beyond messaging tools. In modern systems they operate as interfaces between automated processes and human decision making.

Most app architecture advice is either too abstract to apply or too narrow to scale. Here are practical trade-offs for production systems across integration, code structure, and data access.

The quiet loophole that powered a wave of agent experimentation is now closed.

Vane is one of the more pragmatic entries in the “AI search with citations” space: a self-hosted answering engine that mixes live web retrieval with local or cloud LLMs, while keeping the whole stack under your control.

Claude Code is not autocomplete with better marketing. It is an agentic coding tool: it reads your codebase, edits files, runs commands, and integrates with your development tools.

Hermes Agent is a self-hosted, model-agnostic AI assistant that runs on a local machine or low-cost VPS, works through terminal and messaging interfaces, and improves over time by turning repeated tasks into reusable skills.

Text Generation Inference (TGI) has a very specific energy. It is not the newest kid in the inference street, but it is the one that already learned how production breaks -

Here I am comparing speed of several LLMs running on GPU with 16GB of VRAM, and choosing the best one for self-hosting.