Core hublive
Trivexi
Public hub
The public showcase that frames the products, systems, and operating model behind Trivexi.
Turns the stack into a coherent product story people can actually navigate.
Visit trivexi.app35+ tools shipped · actively maintained
AI-native
developer tooling
that ships.
Trivexi builds production-grade AI systems and developer tooling that turn experimental AI workflows into reliable software operations.
14
Tools shipped
live & maintained
5
Product categories
AI DevOps to Infra
10
GitHub Actions
CI/CD integrations
3
Active builds
in development now
Active Development
Building now
These are actively in development — live systems that power Trivexi's AI operations and will ship as products.
BuildingAI Systems / Infra
Rhodes
Hierarchical multi-agent AI orchestration system
Trivexi's internal multi-agent orchestration platform. Rhodes coordinates specialized agents across planning, execution, memory, and delivery layers.
Active build·Internal system
BuildingAI Systems / Infra
OCMC
OpenClaw Mission Control dashboard
Internal command-and-control dashboard for Trivexi's AI agent fleet. Real-time visibility into agent tasks and operational metrics.
Active build·Internal system
BuildingAI Systems / Infra
ugro
Distributed GPU orchestration system
Orchestrates GPU workloads across distributed nodes for AI model inference and training pipelines.
Active build·Internal system
Featured
Flagship products
The core of the Trivexi ecosystem — production-ready tools built for serious engineering teams.
LiveAI DevOps
ai-devops-actions
The CI/CD layer for AI-native development
A suite of GitHub Actions purpose-built for AI-native engineering teams.
GitHub Actions · OpenAI
LiveAI DevOps
ai-pr-guardian
Detects, scores, and gates AI-generated/low-quality PRs
Automatically detects AI-generated code in pull requests, scores quality signals, and enforces configurable gates before merge.
GitHub Actions · GitHub PRs
LiveAI DevOps
mcp-server-tester
Test MCP servers in CI
Brings MCP server validation into your CI pipeline. Run conformance tests, schema checks, and tool invocation smoke tests automatically on every push.
GitHub Actions · MCP
LiveSecurity & Supply Chain
workflow-guardian
Advanced linter and security validator for GitHub Actions
Deep security analysis for GitHub Actions workflows. Detects misconfigured permissions, pinning violations, and supply chain vulnerabilities.
1GitHub Actions · GitHub Security
LiveSecurity & Supply Chain
actions-lockfile-generator
Pin Action tags to commit SHAs
Generates and maintains a lockfile for GitHub Actions, pinning every third-party action tag to a specific commit SHA to prevent supply chain drift.
GitHub Actions
LiveSecurity & Supply Chain
FuzzyAI
Automated LLM fuzzing for jailbreak detection
Systematically probes LLM endpoints with adversarial inputs to surface jailbreaks, policy bypasses, and unexpected behaviors.
OpenAI · Anthropic
LiveAI Systems / Infra
9router
Universal AI Proxy for Claude Code, Codex, Cursor
A universal proxy layer that routes AI coding agent requests across Claude Code, Codex, and Cursor. Adds observability and cost control.
Claude Code · OpenAI Codex
BuildingAI Systems / Infra
Rhodes
Hierarchical multi-agent AI orchestration system
Trivexi's internal multi-agent orchestration platform. Rhodes coordinates specialized agents across planning, execution, memory, and delivery layers.
Internal
Full Index
All products
14 tools shipped and maintained across 6 categories.
Showing 14 products
LiveAI DevOps
ai-devops-actions
The CI/CD layer for AI-native development
Production ready
LiveAI DevOps
ai-pr-guardian
Detects, scores, and gates AI-generated/low-quality PRs
Production ready
LiveAI DevOps
llm-cost-tracker
Track LLM API costs in CI pipelines
Production ready
LiveAI DevOps
agent-skill-validator
Lint, validate, and test agent skill repos
Production ready
LiveAI DevOps
mcp-server-tester
Test MCP servers in CI
Production ready
LiveSecurity & Supply Chain
workflow-guardian
Advanced linter and security validator for GitHub Actions
1
LiveSecurity & Supply Chain
actions-lockfile-generator
Pin Action tags to commit SHAs
Production ready
LiveSecurity & Supply Chain
ai-output-redacter
Scan and redact sensitive content in AI outputs
Production ready
LiveSecurity & Supply Chain
workflow-linter-vscode
VS Code extension for real-time workflow linting
Production ready
LiveSecurity & Supply Chain
FuzzyAI
Automated LLM fuzzing for jailbreak detection
Production ready
LiveAI Systems / Infra
9router
Universal AI Proxy for Claude Code, Codex, Cursor
Production ready
LiveAI Systems / Infra
ai-root-cause-hints
Explain why AI pipelines failed
Production ready
LiveOther
gumroad-products
Digital products for GitHub Actions power users
Production ready
LiveOther
awesome-actions
Curated list of awesome GitHub Actions
Production ready
Systems Layer
The infrastructure underneath
Beyond individual tools, Trivexi runs on internal systems that enable AI-native operations at scale. These aren't demos — they run Trivexi day-to-day.
Rhodes
BuildingMulti-agent orchestration
Trivexi's internal hierarchical multi-agent system. Rhodes coordinates planning, execution, memory, and delivery agents — enabling autonomous AI operations at scale.
9router
LiveUniversal AI proxy layer
Routes AI coding agent requests across Claude Code, Codex, and Cursor with observability, rate limiting, cost control, and fallback logic built in.
OCMC
BuildingMission Control dashboard
Command-and-control interface for Trivexi's AI agent fleet. Real-time visibility into tasks, health checks, pipeline status, and operational metrics.
ugro
BuildingDistributed GPU orchestration
Manages GPU workload distribution across nodes for AI model inference and training. Cost-efficient, high-availability, built for production AI pipelines.
These systems are internal infrastructure. Public products in the portfolio use and validate these systems in production.
Ecosystem
Relationships, not just a list of projects
Trivexi is a connected operating stack: one public hub, orchestration and infrastructure beneath it, and products and tools proven in real use.
The hub clarifies the surface. The surrounding clusters power it, observe it, and export the patterns that make the system valuable.
Core
Orchestration layers that coordinate the studio and connect decisions to delivery.
Rhodes
Orchestration core
Coordinates agents, memory, and delivery pipelines across the Trivexi operating stack.
Keeps work moving across the system instead of leaving execution fragmented.
OCMC
Mission Control
Gives Trivexi a command surface for task health, pipeline state, and fleet visibility.
Makes orchestration inspectable so operating complexity stays legible.
Systems
Infrastructure layers that provide routing, observability, and reliable execution underneath the hub.
Products
Productized systems that turn internal operating capabilities into useful, repeatable surfaces.
Tools
Public tools that export Trivexi patterns into reusable developer workflows.
AI DevOps Suite
GitHub Actions toolkit
Public GitHub Actions for PR quality gates, eval harnesses, and AI-native CI/CD workflows.
Packages Trivexi operating patterns into tooling other teams can use directly.
Every node either powers Trivexi directly or turns its internal operating model into something reusable.
Studio Model
How we build
Trivexi operates like a software studio with an AI backbone. Four principles govern how we take ideas from zero to production.
Execution velocity
Ship working software fast. Bias toward real deliverables over specs. Iterate in production, not slide decks. Each release is evidence, not a promise.
Engineering rigor
Fast does not mean sloppy. Every tool has typed interfaces, CI pipelines, and validation layers. AI output is treated as untrusted input — scored, gated, and tested.
Systems thinking
Individual tools are leverage points in a larger system. Trivexi designs for interoperability first — so each component strengthens the whole rather than standing alone.
Modular stack
One repo per tool. One job per service. Composable by default. The stack doesn't lock you in — it gives you a clean seam to cut at every layer.
Validated in production, not staging.
Every principle above is exercised in how Trivexi runs its own AI operations. Rhodes, OCMC, and the DevOps suite are internal validation environments for the tools we ship.
Systems active
Start with the shipped layer
Ready to ship faster, safer AI workflows?
Start with any tool in the portfolio. They're composable — use one or build a complete CI/CD layer for AI-native development.