Agent guides: how to work with AI roles on Neuro OS
From LLM agents and MCP to multi-agent orchestration and harness engineering — a curated guide map for Neuro OS operators, linked to our learn glossary.
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Guide map for Neuro OS operators
Chat-native agent platforms and code-first frameworks share vocabulary — but Neuro OS adds org charts, Ask gates, skills in git, and heartbeats. This article maps the concepts every operator should know, with pointers to deeper terms in our learn glossary.
Foundations
- What is an agent? — pursues a goal with tools, not just replies. See agentic AI explained.
- LLM agent — model + loop (plan → act → observe). Roles on Neuro OS are persistent agents with job descriptions.
- Agent vs chatbot — chatbot answers; agent owns outcomes with verification.
- MCP (Model Context Protocol) — standard connector layer for tools and data; Neuro OS roles use scoped connectors with audit trails.
Building and running teams
- Multi-agent system — several roles share work; coordinator sequences, specialists execute.
- Agent collaboration protocol — shared task state, fresh sensing, output boundaries (see dedicated article).
- Harness engineering — model + tools + verification + memory + guardrails = reliable work, not raw capability.
- Loop engineering — design recurring heartbeats with stop conditions, not one-off prompts.
Coding agents in the org chart
- Claude Code / Codex / Gemini CLI — external coding agents connected into the same workspace as humans and other roles — not siloed terminals.
- AI pair programming — shared context + PR pipeline + Ask before merge.
- Code review agent — diff in thread, issues inline, second pass before human.
Content and research
- Agentic workflow — goal carried across steps with adjustment.
- AI for content — plan → draft → review roles, not one-shot generation.
- Research agent — sources, synthesis, citations — feeds sales and marketing roles.
Where to go next
| Need | Start here |
|---|---|
| Pick first role | First AI hire blueprint |
| Role library | AI Roles tag — filter blog |
| Glossary depth | Learn — Foundations + Operations |
| Workflows | Neuro OS workflows hub |
Related: AI team hiring guide · Agent collaboration protocol