Hermes Agent systems. Built and running.

AI that works for you even if you don't check on it. seriously.

I build and operate private Hermes Agent systems. They handle the busywork, monitoring, and reporting while you keep strategy and final control.

9 n8n templates published ↗Hermes Agent + Python + n8nRemote · PHT
MISSION TDH-09
Retro Space Race illustration of Hermes Agent connecting tools, workflows, and decisions
BUILD TOMORROW’S EDGEHERMES AGENT · AUTOMATION · ALGORITHMIC SYSTEMS
9published n8n templates
3core engineering domains
24/7scheduled-system mindset
5+years around trading systems
LIVE OPS · RUNNING NOWREAL-TIME MONITORING · 15-MIN DATA CYCLE
TOP PERFORMERS · AUTONOMOUS AI OPERATIONS

Top performers.

These are the top three public strategy performers so far, based on the full tracking window, after comparing each strategy’s best Fixed TP no-cap result with its No TP EMA20 no-cap result. The AI operations team runs the monitoring and outcome workflow autonomously using Elijah’s predefined strategy and risk rules. Elijah remains the strategist and human control layer, reviewing logic, anomalies, source data, and every published metric.

FULL TRACKING WINDOW2026-07-05 → 2026-09-02Data checked 2026-09-01 07:45 PHT
TOP PERFORMER · Fixed TP 1:5 · No cap

Reclaim V2

+22.0%
$1,220 tracked balance
145 signals25/103/17 W/L/O$10 risk/trade
TOP PERFORMER · Fixed TP 1:2 · No cap

Reclaim

+14.0%
$1,140 tracked balance
193 signals61/108/24 W/L/O$10 risk/trade
TOP PERFORMER · No TP EMA20 · No cap

Liquidity Sweep

+5.3%
$1,053 tracked balance
361 signals60/260/40 W/L/O$10 risk/trade

Read this correctly: $1,000 strategy bases, $10 risk per trade, open outcomes included, and results measured across the full tracking window. Results do not guarantee future performance.

Per-strategy equity curves from Elijah's Hermes Agent research and operations systemField report · Hermes Agent operations
From the lab · Featured case study

Building a Personal AI Operating System with Hermes Agent

I turned manual setups, scattered notes, backtests, chart scans, and gut feel into a structured Hermes Agent system for research, market monitoring, variant tracking, journaling, dashboards, and daily reports. Hermes handles repetitive operations; I keep control of strategy logic, risk rules, and review.

First-person build storyPersonal fund operationsHermes Agent team
Qualified AI Operating System planning call

Have a real workflow ready to become an AI Operating System?

Bring the process, tools, bottleneck, desired outcome, timeline, and practical budget range. Elijah will assess fit, identify the safest first scope, and explain what evidence is needed before implementation.

Choose your path.

One site, three clear routes. No vague CTA maze.

02

Need a custom system?

Scope an n8n workflow, Python bot, integration, or MQL5 build.

Explore services →
03

Looking for a ready-made tool?

Browse supported templates, reference systems, and implementation packages.

View products →

Selected systems.

Engineering proof before performance promises.

Reference system

Market-context orchestration

A reference architecture normalizes market context, validates structured AI signals, and routes instructions to MQL5.

Stackn8n · Claude · MQL5
ProofReference system

Built across the whole system.

From trigger design and API integration to error routes, deployment, and handoff.

AI

AI automation & n8n

Production workflows connecting forms, CRM, APIs, AI decisions, notifications, and human approvals.

M5

Trading & operations automation

Hermes Agent-assisted MQL5 and Python operations with monitoring, scheduled reports, Discord bots, dashboards, and controlled execution infrastructure.

What people say.

Human proof from people Elijah has worked with.

“Love Elijah’s attitude and humor. He made the team more lively, and he’s good at what he does.”

MikeMikeCo-founder of a financial group

“Your work stood out to us, and we’re glad we reached out to collaborate with you on this project.”

CherylAI Studio
Meet Elijah

Strongest where a process crosses multiple tools.

I started by translating trading rules into MQL systems. That pulled me into Python, APIs, scheduled jobs, n8n, AI-assisted workflows, and community automation. Today, I build the connective tissue that makes the whole system work.

Portrait of Elijah