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Codex Hermes Worker

Current release / 当前正式版本:1.0.0

English | 简体中文

English

A Windows-first, dual-mode MCP bridge that lets Codex delegate bounded work to Hermes Agent and a local Qwen model served through an OpenAI-compatible endpoint such as LM Studio.

Architecture

Codex
  -> project-local stdio MCP bridge
  -> Hermes Agent
  -> LM Studio / local Qwen
  -> restricted deterministic tools or explicitly authorized host tools

Codex remains responsible for planning, high-risk judgment, verification, and the final answer. Hermes and the local model handle repetitive, batch-oriented, and tool-heavy work.

Key capabilities

  • Eight high-level MCP tools for health, delegation, durable jobs, result summaries, bounded queries, cancellation, and explicitly authorized host work.

  • SQLite job state with WAL, JSONL exports, review manifests, and recovery.

  • restricted_batch for read-only research inputs and project-scoped outputs.

  • trusted_full for explicitly authorized terminal, file, code, browser, skill, memory, and delegation capabilities available in Hermes.

  • Windows PowerShell scripts for install, status, tests, and uninstall.

  • Unit, integration, live MCP, Hermes, and local-model capability tests.

Safety

restricted_batch is the default for untrusted or bulk input.

trusted_full is intentionally high risk. It can launch an unsandboxed host terminal and must never be selected automatically merely because restricted execution is inconvenient. Network access requires a separate opt-in.

Local secrets, generated Codex configuration, virtual environments, job data, SQLite databases, logs, and Hermes profiles are excluded from version control. See SECURITY.md before enabling host tools.

Quick start

Requirements:

  • Windows

  • Python 3.11+

  • Codex CLI or Desktop with local stdio MCP support

  • Hermes Agent

  • LM Studio or another OpenAI-compatible local model server

  • A tool-capable local model

git clone https://github.com/RANJIANG23/codex-hermes-worker.git
cd codex-hermes-worker
powershell.exe -NoProfile -ExecutionPolicy Bypass -File .\scripts\install.ps1
powershell.exe -NoProfile -ExecutionPolicy Bypass -File .\scripts\status.ps1

Run the complete validation flow:

powershell.exe -NoProfile -ExecutionPolicy Bypass -File .\scripts\test.ps1

For configuration, first delegation examples, recovery, and uninstall instructions, read the Chinese guide.

License

MIT


Related MCP server: hermes-mcp-server

简体中文

这是一个可运行、可测试、可供其他团队成员复用的 Windows 本地分层代理系统:

Codex / GPT-5.6
→ 项目级 stdio MCP Bridge
→ Hermes Agent
→ LM Studio / Qwen3.6 27B
→ 受限批处理工具或显式授权的完整 Hermes 工具

Codex 负责规划、复杂推理、冲突裁决和最终验收;Hermes/Qwen 负责批量、重复和本机工具密集型工作。

组件作用

  • Codex:上层主代理和最终决策者。

  • Bridge:提供 8 个高级 MCP 工具、参数校验、任务状态、摘要隔离和双模式权限。

  • Hermes:本地 Agent Loop,选择并调用工具。

  • Qwen:负责本地语义判断、分类、初筛、复核和工具规划。

  • SQLite/JSONL:持久保存任务、证据、结果和复核清单。

两种执行模式

restricted_batch(默认)

用于游戏研究数据、外部输入和批处理:

  • 无通用终端、无浏览器、无网络工具。

  • 只读 testdatawork/inputconfig/local.yaml 中明确加入的目录。

  • 只写本项目的 work 目录。

  • 通过专用工具执行哈希、字符串、二进制切片、FFprobe 和结构化查询。

trusted_full(显式授权)

用于你明确希望 Hermes/Qwen 像 Codex 一样执行的电脑任务:

  • 可选择 terminal、file、code_execution、browser、skills、memory、delegation、cronjob 和可用 MCP。

  • 必须传入 authorization="explicit_user_authorized"

  • 外部网络或可选第三方工具还必须传入 allow_network=true

  • 主机终端不是沙箱,可能修改文件或执行危险命令。不要对不可信网页、文档或批量输入默认使用。

完整能力和当前缺失依赖见 Hermes 完整工具报告

快速开始

环境要求:

  • Windows

  • Python 3.11+

  • 支持本地 stdio MCP 的 Codex CLI 或 Desktop

  • Hermes Agent

  • LM Studio 或其他兼容 OpenAI API 的本地模型服务

  • 支持工具调用的本地模型

git clone https://github.com/RANJIANG23/codex-hermes-worker.git
cd codex-hermes-worker
powershell.exe -NoProfile -ExecutionPolicy Bypass -File .\scripts\install.ps1
powershell.exe -NoProfile -ExecutionPolicy Bypass -File .\scripts\status.ps1

运行完整验证流程:

powershell.exe -NoProfile -ExecutionPolicy Bypass -File .\scripts\test.ps1

Bridge 是 stdio MCP,不监听常驻端口。Codex 会按任务需要启动它。

在 Codex 中确认 MCP

请调用 hermes_health,并只报告:
1. 总体状态;
2. Hermes 版本;
3. Qwen 模型 ID;
4. 默认执行模式;
5. trusted_full 是否启用。

命令行检查:

codex mcp get hermes_worker

第一个受限批处理任务

请先调用 hermes_health。

然后调用 submit_local_job:
- task_type: asset_classification
- instructions: 使用确定性元数据和字符串证据分类;不修改输入
- input_paths: ["testdata/assets.jsonl"]
- profile: asset_worker
- output_schema: asset_classification_v1
- max_steps: 8

只返回 job_id。随后轮询 get_local_job_status,完成后读取
get_local_job_summary。只在需要复核时调用 query_local_results,
不要把完整批次载入主上下文。

第一个完整工具任务

只在你明确接受风险时使用:

我明确授权本次任务使用 trusted_full,但不授权外部网络。

请调用 delegate_trusted_full_task:
- authorization: explicit_user_authorized
- working_directory: D:\WorkSpace
- toolsets: ["terminal", "file", "code_execution", "skills"]
- allow_network: false
- include_optional_tools: false
- max_steps: 20
- timeout_seconds: 600
- instructions: <具体任务>

完成后只返回结果摘要、修改文件列表和审计日志路径。

如确实需要浏览器或网络,必须在同一任务中明确授权并设置 allow_network: true

结果与配置

  • SQLite:work\database\jobs.db

  • 完整 JSONL:work\results\<job_id>.jsonl

  • 复核清单:work\review\<job_id>.jsonl

  • 受限工具审计:work\logs\tool-audit.jsonl

  • 完整模式审计:work\logs\trusted-full-audit.jsonl

本机目录配置保存在不会提交的 config\local.yaml 中。不要把原始游戏目录加入 writable_roots。本地密钥、生成的 Codex 配置、虚拟环境、任务数据、数据库和日志均已排除在版本控制之外。

安全与团队复用

restricted_batch 是处理不可信输入或批量数据时的默认模式。trusted_full 可以启动非沙箱主机终端,只能用于用户明确授权的可信任务。启用主机工具前请阅读 SECURITY.md

团队成员应复制源码和配置模板,不应复制 .venv.codex/config.tomlwork.env 或任何密钥。每个人都应在自己的电脑上运行安装器,形成:

成员自己的 Codex → 本机 Bridge → 本机 Hermes → 本机 Qwen

团队部署方法见 docs/team-deployment.md。当前版本不是无认证的远程 GPU 服务,不应直接开放到局域网。

更完整的安装、配置、恢复、故障排查和卸载说明见 中文详细指南

许可证

MIT

A
license - permissive license
-
quality - not tested
B
maintenance

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