Infrastructure for trustworthy
machine judgment

Define AI agents once. Run them everywhere. Track what they find. One command to get started.

$ npx @uluops/setup

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Most tools validate code against known rules. UluOps operates judgment — asking not just "does this work?" but "is this the right approach?"

135+ agents

6 agent types

4 definition languages

The System

Four layers. One feedback loop.

Each layer feeds the next. Definitions become runs. Runs become data. Data improves definitions. The system gets smarter with every validation.

Registry

DEFINE

Define AI agents in structured YAML. Version them. Publish to a shared registry. 135+ agents across validators, analysts, explorers, and forecasters.

Tracker

VALIDATE

Run agents against any artifact. Track issues with fingerprint correlation. Detect regression automatically. See quality converge over time.

Recursive Appreciation

IMPROVE

Agents improve themselves. Meta-layer agents audit domain agents. Improvements cascade through the ecosystem. The system appreciates — it gets better without proportional investment.

SDK & MCP

INTEGRATE

Integrate into any workflow. MCP servers give Claude Code native access. The SDK handles orchestration. One command: npx @uluops/setup.

Two Interfaces

Define. Validate. Repeat.

app.uluops.ai

++++

▶OPS-ULUOPS-REGISTRYDASHBOARD

3open

14resolved

2deferred

[ VALIDATORS ]

↑code-validator92

→security-analyst88

↓test-architect78

registry.uluops.ai

code-validatorv2.1.0

PUBLISHEDCOMMUNITYsoftware

Validates code quality, standards compliance, test coverage, and best practices. Blocks progression if critical issues found.

Scoring0–100 · 6 dimensions · 48 checks

Executions1,247 runs · 94% completion

Authoruluops

Execution History1,247

code-qualitytypescriptsecurity

SHARED TRUST LAYER

The Loop

Self-improving by design

Every validation run closes the feedback loop. The system doesn't just measure quality — it compounds it.

{ }

DefineRegistry

ValidateAgents

TrackTracker

ImproveRAH

{ }

DefineRegistry

ValidateAgents

TrackTracker

ImproveRAH

↻ CONTINUOUS LOOP

Multi-Target

One command. Multiple harnesses.

Install UluOps into every agentic harness on your machine in a single run. Failure isolation, per-target summary, one set of prompts.

$ npx @uluops/setup --all-detected

Claude Codestable

OpenCodestable

Gemini CLIstable

Codexexperimental

Or pick a subset: --harness claude-code,gemini-cli. Auto-detection skips experimental harnesses; opt in to Codex with --harness codex.

How It Works

Three steps. Thirty seconds.

Install, validate, track. Every run feeds the system. Quality compounds from the first command.

install

$ npx @uluops/setup --signup

  ⟨u⟩ ulu·ops
      operating intelligence as infrastructure

  ✓ Account created (you@example.com)
  ✓ API key generated
  ✓ MCP config → ~/.claude.json
  ✓ 23 agents · 28 commands installed

  Setup complete!

Validation runs

Agent definitions

Active validators

Completion rate

For Developers

SDK-first design

Four packages. One pipeline. The SDKs handle auth, type safety, and error handling. The CLI ties them together.

Submit validation runs, track issues, query analytics. The operational layer.

$ npm install @uluops/ops-sdk

example.ts

import { OpsClient } from '@uluops/ops-sdk';
 
const client = new OpsClient({
apiKey: process.env.ULUOPS_API_KEY,
});
 
// Submit a validation run
const run = await client.runs.submit({
project: 'my-app',
agent: 'code-validator',
score: 87,
issues: findings,
});
 
// Query project analytics
const trends = await client.analytics.getTrends(
'my-app'
);