♾️ Private Agent Fleet with Spec Coding. Each agent gets their own GPU-accelerated desktop. Run Claude, Codex, Gemini and open models on a full private AI Stack ♾️

Autonomous software engineering fleet of AI agents for production-grade PRs on AgentField: plan, code, test, and ship.

The Schemaverse is a space-based strategy game implemented entirely within a PostgreSQL database. Compete against other players using raw SQL commands to command your fleet. Or, if your PL/pgSQL-foo is strong, wield it to write AI and have your fleet command itself!

Run a fleet of AI agents on Kubernetes. Administer your cluster agentically

Agentic QE Fleet is an open-source AI-powered QA/QE platform designed for use with Coding Agents (works best with Claude Code) featuring specialized agents and skills to support testing activities for a product at any stage of the SDLC. Free to use, fork, build, and contribute. Based on the Agentic QE Framework created by Dragan Spiridonov.

AEO Automation Framework for Claude Code One-click, beginner friendly automation for GitHub. Includes a dedicated fleet of AEO sub-agents handling planning, execution, reports, actionable items, and executive summaries. Trigger work instantly with AEO slash-commands. Fully integrated as a Claude Code Skill and usable across Claude AI App

Runtime security enforcement and threat hunting engine for autonomous AI fleets. Build Swarm Detection & Response (SDR) platforms with Clawdstrike.

AI-powered fleet management platform with an agentic dispatcher that autonomously matches loads to trucks, ensures HOS compliance, and optimizes routes. Built for trucking companies.

Secure autonomous AI agent fleet platform — Docker-isolated, multi-provider, with built-in cost controls. OpenClaw alternative for production use.

Terminal hypervisor for AI agent swarms: real-time pane capture, state-machine pattern detection, and a JSON API for coordinating fleets of coding agents across WezTerm

AI Agent fleet manager for parallel agentic systems like claude code and codex

AI-driven predictive maintenance for vehicles using GBM models on real-time sensor data. Proactive fleet management, cost reduction, and efficient transportation enabled by forecasting maintenance needs and part failure probabilities through a web application interface.

A modular, fully configurable DataviewJS dashboard for Obsidian — monitor Claude Code sessions in real-time, manage AI agent fleets, track 30-day analytics, and boost productivity with focus timer, quick capture, and more.

Notion-powered control plane for OpenClaw AI agents — monitor, dispatch, tune, backup, and clone your agent fleet

A web-based Kubernetes dashboard that streamlines resource allocation, DevOps management, security monitoring, and pod diagnostics. Harness AI-driven insights, fleet-wide heatmaps, and real-time/historical data analysis to help teams optimize performance and scale effortlessly.

Mission Control dashboard for monitoring and managing AI agent fleets. Track costs, performance, context health, security posture, and market intelligence.

Scale OpenClaw from one AI assistant to a coordinated fleet — shared knowledge, collective memory, distributed goals.

Secure SSH access for AI agents via MCP. Execute commands across your server fleet with policy enforcement, network controls, and comprehensive audit logging.

Real-time monitoring dashboard for AI coding agent fleets: session health, output streaming, and observability across Claude, Codex, and Gemini

SDK-first orchestration platform for managing AI coding agent fleets: BYOA key rotation, real-time WebSocket dashboard, DCG integration, and cross-agent search

Gradient Boosting Models on Real-Time Sensor Data for AI-Enhanced Vehicle Predictive Maintenance. By using a web-based interface to forecast maintenance requirements and part failure probabilities, proactive fleet management, cost optimisation, and efficient transportation are made possible.

This Guidance demonstrates how to build an AI-assisted robot training and fleet management system using Amazon Bedrock foundation models and AWS Trainium. It helps organizations overcome the complexity of training robots for precise tasks and managing fleets at scale

Self-hostable operations console for governed AI agents. Contract management, HITL approvals, audit feeds, fleet monitoring.

The AI-PMS Microservice uses AI to predict aircraft system failures before they occur, optimizing maintenance and enhancing safety. This modular microservice integrates with fleet management systems, providing real-time predictions and automated alerts for preventive maintenance interventions.

NVIDIA Fleet Command is a hybrid-cloud platform for securely and remotely deploying, managing, and scaling AI across dozens or up to thousands of servers or edge devices. For more info please refer to https://www.nvidia.com/en-us/data-center/products/fleet-command/

Model-agnostic fleet orchestration for terminal-based AI agents.

A Model Context Protocol Server for AI models to interface with the Tesla Fleet API.

Novel Forge is a multi-agent, graph-driven AI authorship platform that orchestrates a fleet of specialized LLM agents to generate, refine, and export full-length novels with iterative feedback loops. Built on pydantic-ai and pydantic-graph.

Kubernetes-native AI fleet orchestration

Fleet command shoot-em-up. Hold out against the Martians. AI and Games Jam 2021.