TitanU AI — Agent Fleet | Julius Cameron Hill

106 Autonomous AI Agents.
Built by one person. From scratch.

Each agent uses Gemini 2.5 Flash as its reasoning brain and connects to a partner's real-world tools via MCP (Model Context Protocol). They don't just answer questions — they take real actions: hunting threats, healing pipelines, auditing code, optimizing databases.

106

Total Agents

6 partner tracks

Agent Runs

live counter

Live Moat Agents

Rust · Julia · Python

2.5

Gemini Flash

reasoning core

—

Avg Latency

ms per agent call

⚡ The 6 Heavyweight Agents

These are the flagship moat agents — production-grade, multi-step, autonomous. Each one connects to a real partner platform via MCP and takes real actions.

🗂 Full Agent Fleet — 106 Agents

Every agent is open source with its own repo. Click any track to filter.

🏗 How It Works

Technical and non-technical breakdown of the TitanU Agent architecture.

🧠

Gemini 2.5 Flash

Reasoning Brain

↔

🔌

MCP Server

Partner Tools (Arize, Elastic, etc.)

↔

⚙️

Autonomous Execution

Multi-step planning + action

For Non-Technical People

Think of each agent like a specialist employee that never sleeps.

You give it a job. It figures out the steps. It uses the right tools. It gets it done — and reports back with a full breakdown of what it did and why.

The difference from a chatbot: it acts, not just answers.

For Technical People

          Python asyncio agents

          Gemini 2.0/2.5 Flash (generative reasoning)

          MCP Python SDK (partner tool actuators)

          Structured JSON output + action execution

          Multi-phase autonomous execution loops

          Fallback: Gemini self-eval when MCP offline

          Patent: JCH-2026-001 (orchestration IP)

106 Autonomous AI Agents.Built by one person. From scratch.

106 Autonomous AI Agents.
Built by one person. From scratch.