--- title: "A no-nonsense explainer to Agentic AI" url: https://daily.dev/posts/a-no-nonsense-explainer-to-agentic-ai-zu62mz1ox source_url: https://tailscale.com/blog/agents-are-coming type: article source: "Tailscale" published: 2026-06-26T15:24:26.859Z updated: 2026-06-26T15:25:08.289Z tags: ["llm", "ai-agents", "mcp"] reading_time: 14 upvotes: 3 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # A no-nonsense explainer to Agentic AI **[Tailscale](https://daily.dev/sources/tailscale)** · 14 min read · 3 upvotes · 0 comments ## Summary A beginner-friendly breakdown of what AI agents actually are, demystifying the buzzwords around models, tools, sandboxes, runtimes, and harnesses. The agent stack is explained layer by layer: the LLM as the brain, tools as its interface to the world, sandboxes for security, and the harness/runtime as the orchestration glue. Three real-world agentic tools are compared — OpenClaw (a gateway/control plane), Pi.dev (a minimal coding harness), and Hermes (a persistent autonomous runtime with memory and skill creation). The post closes with a practical example of wiring Hermes, Telegram, and Home Assistant together for natural-language smart home control, and briefly promotes Tailscale's Aperture as an AI model gateway. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#llm](https://daily.dev/tags/llm), [#ai-agents](https://daily.dev/tags/ai-agents), [#mcp](https://daily.dev/tags/mcp) [View this post on daily.dev](https://daily.dev/posts/a-no-nonsense-explainer-to-agentic-ai-zu62mz1ox)