Blog & Updates

How to build, run and watch AI agents. Guides, engineering deep dives and product updates from the Rerun team.

Hermes Agent vs n8n: Autonomous Agent or Workflow Automation? (2026 Guide)

Hermes Agent vs n8n: Autonomous Agent or Workflow Automation? (2026 Guide)

Hermes Agent vs n8n compared honestly: an autonomous AI agent versus a workflow automation platform. Execution model, memory, error handling, governance, and why smart teams pair them.

AI Agent Guardrails: LLM Guardrails for Safe Production Agents

AI Agent Guardrails: LLM Guardrails for Safe Production Agents

AI agent guardrails are the runtime controls that keep autonomous agents safe. Learn the 6 guardrail types, where to enforce them, and how to ship agents you can actually trust.

LangGraph vs CrewAI: How to Choose an AI Agent Framework (2026)

LangGraph vs CrewAI: How to Choose an AI Agent Framework (2026)

CrewAI vs LangGraph compared across architecture, state, human-in-the-loop, observability and production readiness, plus when to pick each and how to govern both in production.

Hermes AI Pricing: The True Cost of Running Hermès Agent in 2026

Hermes AI Pricing: The True Cost of Running Hermès Agent in 2026

Hermès Agent is free and open-source, so why do real bills range from $8 to $200+ a month? A full breakdown of hosting, tokens, and the hidden ops costs, plus the transparent managed alternative.

AI Agents for Finance: Use Cases, Workflows, and How to Deploy Them

AI Agents for Finance: Use Cases, Workflows, and How to Deploy Them

How finance teams deploy AI agents on close, AP, and FP&A workflows safely, with human approvals, least-privilege access, and full observability.

OpenClaw vs Claude Code (2026): Different Jobs, Very Different Risk Surfaces

OpenClaw vs Claude Code (2026): Different Jobs, Very Different Risk Surfaces

OpenClaw and Claude Code barely compete. One is a sandboxed coding agent, the other an always-on assistant with full system access across 29 channels. A per-task decision framework, the real risk surfaces mapped to OWASP, and how to run an always-on agent safely.

AI Agent Architecture Explained: Components, Patterns & Control Plane

AI Agent Architecture Explained: Components, Patterns & Control Plane

A practitioner's guide to AI agent architecture: the core components, the perceive-reason-act loop, single vs multi-agent patterns, and the production control plane most designs miss.

Hermes AI Agent vs Claude Code: Persistent Daemon vs Session Coding CLI (2026)

Hermes AI Agent vs Claude Code: Persistent Daemon vs Session Coding CLI (2026)

Hermes is a persistent, always-on AI daemon; Claude Code is a session-based coding tool. Here is the honest comparison, when to use which, and why the best 2026 setup runs both under a governance layer.

Human-in-the-Loop AI Agents: The Complete Guide to Building Agents You Can Actually Deploy

Human-in-the-Loop AI Agents: The Complete Guide to Building Agents You Can Actually Deploy

Human-in-the-loop AI agents pause on high-stakes actions to get human approval. Here are the approval gates, confidence thresholds, and escalation patterns that make agents production-ready.

Hermes vs OpenClaw (2026): Honest Comparison + When to Skip Self-Hosting Entirely

Hermes vs OpenClaw (2026): Honest Comparison + When to Skip Self-Hosting Entirely

An honest, head-to-head comparison of Hermes Agent and OpenClaw across architecture, memory, security, setup, and cost, plus when self-hosting either agent is the wrong call.

Agentic AI vs. AI Agents: What's Actually the Difference?

Agentic AI vs. AI Agents: What's Actually the Difference?

Agentic AI and AI agents are not the same thing. One is an entity, the other a paradigm. Here is the real difference, why it matters in production, and how to govern the autonomy that comes with it.

What Is the Hermes AI Agent? How It Works, Whether It's Safe, and How to Run It

What Is the Hermes AI Agent? How It Works, Whether It's Safe, and How to Run It

Hermes Agent is the open-source, self-improving AI agent by Nous Research. Here is what it is, how it works, whether it is free and safe, and where the line sits between running an agent and governing one in production.

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