Hermes Setup Expert Needed Build Autonomous Operator System with Railway, Neon, GitHub, and LLM Ops

I’m looking for a highly technical AI agent / DevOps engineer to help me set up Hermes Agent in the most powerful way possible. I do not want a basic chatbot setup. I want Hermes configured as an operator/agentic work system that can help build, test, document, and improve my business infrastructure while I’m away. The business is currently in build mode. There are no real customers yet, so the focus is on safely building out systems, automations, workflows, code, testing, and documentation. The setup should support: Hermes running locally and/or deployed on Railway Neon Postgres database integration GitHub repo integration Persistent project memory/context soul.md, project instructions, business goals, and operating rules Background tasks / async work Sub-agent style workflows LLM ops: logging, evaluation, traces, cost tracking, prompt/version management Safe permissions and guardrails Automated verification/testing before changes are accepted Clear handoff docs so I can work side-by-side with Hermes and Claude Code The end goal is to create a system where Hermes can act like an AI project operator for my business: researching, planning, building, testing, documenting, and improving systems continuously. Current Tech Stack / Tools I am using or planning to use: Hermes Agent Claude Code Railway Neon Postgres GitHub n8n GoHighLevel ManyChat Meta/Instagram automation HeyGen / ElevenLabs content workflows Possible future tools: Notion, Slack, Google Drive, Obsidian, ClickUp, Langfuse, OpenTelemetry, PostHog What I Need You To Build Phase 1 — Hermes Foundation Set up Hermes correctly with: Local install Railway deployment plan or working Railway deployment Environment variables Secure secrets handling GitHub integration Neon Postgres connection Project folder structure soul.md project.md rules.md permissions.md agent-operating-manual.md Hermes should understand my business, goals, stack, constraints, and what it is allowed/not allowed to do. Phase 2 — Agent Operating System Create a workflow where Hermes can: Read project context Create implementation plans Break work into tasks Work in background sessions Create branches/PRs Run tests Verify work before marking complete Write handoff summaries Log what it did Recommend next actions I want Hermes to function like a technical operator that can keep moving the project forward. Phase 3 — LLM Ops / Monitoring Implement an LLM ops layer so I can track and improve the system. This may include: Langfuse or similar tracing Prompt/version tracking Cost tracking Model usage logs Agent task logs Error logs Evaluation criteria Test results Task history “What changed while I was away” reports I want to be able to see what Hermes did, why it did it, what it changed, and whether it passed verification. Phase 4 — Business System Integration Connect or prepare Hermes to work with my business systems: GitHub repos Railway services Neon database n8n workflows GHL automations Instagram Sales Agent DM flows Content engine workflows Documentation files I do not need Hermes spending money, publishing live ads, modifying payment systems, or messaging real customers without approval. But I do want Hermes to be able to build, test, verify, and improve workflows in development. Guardrails Hermes should be allowed to: Edit code Create branches Open pull requests Write docs Create test workflows Run tests Inspect logs Suggest infrastructure changes Improve prompts Build automation templates Hermes should not be allowed to: Spend money Modify payment processors Publish ads Message real customers Delete production data Change live payment flows Push directly to main without approval Access sensitive secrets in plain text Ideal Candidate You should have experience with: AI agents Claude Code / coding agents Hermes Agent or similar agent frameworks Railway Neon Postgres GitHub Actions Docker TypeScript / Python n8n LLM ops tools like Langfuse, Helicone, OpenTelemetry, PostHog, or similar Prompt engineering Agent memory/context systems DevOps and automation Building safe autonomous workflows