Hermes-Agent-Claude-Code-Loop-Engineering-Setup

Name: Hermes-Agent-Claude-Code-Loop-Engineering-Setup
Rating: 61 (1 reviews)
Author: network-tocoder

network-tocoder/Hermes-Agent-Claude-Code-Loop-Engineering-Setup

This repository provides a guide and framework for loop engineering by pairing the Hermes Agent as an always-on orchestrator with Claude Code via MCP. It enables autonomous, self-evolving agent loops that monitor, fix, and ship code without constant human intervention.

7 4No licenseUpdated 2026-06-30

Good

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Overview

The Hermes Agent + Claude Code Loop Engineering Setup shifts development workflows from manual prompt engineering to autonomous loop engineering. Hermes acts as the persistent, always-on orchestrator featuring token-capped memory, self-evolving skills, and cron job scheduling, while Claude Code runs non-interactively to build, test, and commit code. Connected via the Model Context Protocol (MCP) bridge and integrated with messaging platforms like Discord or Slack, the system allows developers to define end goals while the agent iterates, gathers feedback, and verifies completion independently.

Capabilities

▸Always-on agent orchestration and memory management
▸Self-evolving and self-patching skill execution
▸Non-interactive code building, testing, and committing via Claude Code
▸MCP bridge integration connecting Hermes skills to external tools
▸Scheduled automation loops via cron jobs
▸Messaging platform connectivity (Discord, Slack, Telegram, iMessage)

Best for

Setting up autonomous CI/CD fix loops that test and correct code until builds succeed, Configuring always-on AI orchestration with persistent memory and cron job scheduling, Integrating Hermes Agent memory and self-improving skills with Claude Code for software delivery, Deploying unsupervised software development workflows with built-in sandboxing and feedback verification

Works with

Claude CodeCodex

Evoa Score breakdown= Σ (score × weight)

Task usefulness20%100 → +20.0

実タスクにどれだけ役立つか（機能の豊富さ・用途の明確さ）。 — AIによるcapabilities/use-cases解析

Code quality15%85 → +12.8

実装・指示の品質。 — AIによるSKILL.md/README解析

Maintenance15%85 → +12.8

リポジトリがどれだけ活発に保守されているか。 — GitHub 最終push日時の新しさ

Documentation12%43 → +5.2

ドキュメントの充実度・分かりやすさ。 — README/独自要約の情報量

Security15%50 → +7.5

危険・不審な挙動が無いか。 — AIによるセキュリティレビュー

Originality10%90 → +9.0

ありふれたラッパーではない独自性。 — AIによる独自性判定

Popularity8%30 → +2.4

コミュニティの採用度。 — GitHub Stars/Forks（対数スケール）

Compatibility5%50 → +2.5

対応AIエージェントの広さ。 — AIによる対応エージェント判定

Weighted total72.1 / 100

ライセンス不明/制限あり（Red）のSkillは総合スコアに0.85倍の補正を適用します。ランキングはこのScoreのみで決まり、広告で変わりません。算出方法の詳細 →

Security considerations

The setup utilizes built-in sandboxing for the Hermes agent to maintain safety during unsupervised execution, but running autonomous code-modification loops requires proper boundary enforcement and cost controls.