SelfHosting

Hermes Agent from Nous Research is a model-agnostic, tool-using assistant you run locally or on a VPS.

MinIO Community Edition is no longer a safe default for new production systems.

Modern assistants still forget everything when you close the tab unless something persists beyond the context window. Agent memory providers are services or libraries that hold facts and summaries across sessions — often wired in as plugins so the framework stays thin while memory scales.

This section collects guides on persistent knowledge and memory for AI systems — how assistants keep facts, preferences, and distilled context across sessions without stuffing every token into one prompt. Here, memory means intentional retention (user facts, summaries, plugin-backed stores), not GPU RAM or model weights.

You know the drill. You open a chat with an AI agent, explain your project, share your preferences, get some work done, and close the tab. Come back the following week and it’s like talking to a stranger — all context gone, every preference forgotten, the project re-explained from scratch.

OpenClaw did not fail as a product. It lost its fuel.

For a long time, llama.cpp had a glaring limitation:
you could only serve one model per process, and switching meant a restart.

Personal knowledge management spans Obsidian, Logseq, DokuWiki, Zettelkasten, and PARA — the right choice depends on whether you want a local note graph, a self-hosted wiki, or an outliner-driven workflow.

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.

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.

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 -

SGLang is a high-performance serving framework for large language models and multimodal models, built to deliver low-latency and high-throughput inference across everything from a single GPU to distributed clusters.