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Hermes + Codex + Claude Code Stack

Most people try to force one model to do everything inside a single chat window. This stack splits roles instead — and works significantly better because of it. Hermes Agent acts as the always-on coordinator: it holds persistent memory, manages scheduled automations, handles tool execution on your machine, and connects through Telegram so you can interact from anywhere. OpenAI Codex runs as the main agent brain inside Hermes, handling coordination and tool use that keeps the orchestration layer running. Claude Code operates as a focused coding specialist, called from the terminal by Hermes whenever a bounded coding task needs to be completed. Hermes delegates the coding task, Claude Code writes or fixes the code, and Hermes verifies the result, runs smoke tests, and wires it into the system. The result is a practical personal operations setup: you tell Hermes what you want, it decides whether to handle it directly or delegate to Claude Code, and the system does the work across tools rather than handing you a list of instructions to run yourself. The key mental shift is treating Hermes as the manager, Codex as the agent brain, and Claude Code as the specialist — each doing what it is best at rather than one model attempting everything.

The workflow — 3 agents in sequence

1

Always-on orchestrator and memory layer

Open-source autonomous AI agent by Nous Research with a self-improving learning loop. Runs on your own server, remembers what it learns, and supports 20+ messaging platforms.

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Hermes runs persistently on your server. It holds cross-session memory, manages cron-scheduled automations, connects to Telegram for remote access, and decides whether to handle tasks directly or delegate the coding work to Claude Code via terminal.

2

Main LLM brain powering Hermes

Cloud-based AI software engineering agent that runs multi-step coding tasks autonomously in parallel — writing features, fixing bugs, running tests, and filing PRs across real repositories.

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Codex runs as the primary model inside Hermes, handling the back-and-forth coordination, tool use, and decision-making about which tasks to handle directly and which to route to Claude Code as a specialised coding task.

3

Focused coding specialist

Anthropic's agentic coding tool that lives in your terminal, IDE, Slack, or web. Available with Pro ($17/mo from), Max ($100-$200/mo), and Team plans, plus pay-as-you-go API access.

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This entire stack is MCP compatible

MCP (Model Context Protocol) is an open standard that enables AI agents to connect natively. All agents in this stack support MCP, enabling native agent-to-agent connections without manual data handoffs.

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