AI Agents

GitHub’s monthly trending page works for a language, because a language filter already defines the set. Open source AI asks a different question: the work spans five languages, and the useful cut is the job a repository does.

AI coding agents can already write functions, modify repositories, run tests, and open pull requests. The harder problem is getting an agent to follow a repeatable engineering process before, during, and after the code is written.

Deep Research has become its own category of software, not just a model pointed at a search box. This article compares twelve self-hosted systems and the research architectures behind them.

Migrating an AI assistant is not the same as copying an application config. The hard part is preserving identity, memory, tool behavior, scheduled work, and messaging access without two gateways acting as the same bot.

Hermes Agent treats skills as the default way to teach repeatable workflows. Official documentation describes them as on-demand knowledge documents aligned with the open agentskills.io shape, loaded through progressive disclosure so the model sees a small index first and only pulls full instructions when a task actually needs them.

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