adityak74

Subagent Fleet — AI skill for Claude Code

AI community

Local AI compute control plane for Claude Code and coding agents.

How to install Subagent Fleet

This entry records only its repository, not the path inside it, so there is no exact command to give. Open adityak74/subagent-fleet and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Subagent Fleet does

Local AI compute control plane for Claude Code and coding agents.

Alternatives in AI

Codeburn — Free, local tool to track AI coding token usage and cost across 37 tools and agents (Claude Code, Cursor, Code 9.7k ★
Token Monitor — Local-first desktop widget for tracking token usage, costs, and limits across 32+ AI coding tools—including Cl 1.8k ★
Agentchattr — Free, local chat where AI coding agents can tag each other, talk, and coordinate with you 1.5k ★

README

subagent-fleet

**Local AI compute control plane for Claude Code and coding agents.**

`subagent-fleet` turns your Macs, GPUs, and Ollama backends into one intelligent compute fleet for coding agents — routing subagents to the right model and machine by role, with real-time health monitoring, model warmup, and execution tracing.

[![GitHub Repo stars](https://img.shields.io/github/stars/adityak74/subagent-fleet?style=social)](https://github.com/adityak74/subagent-fleet/stargazers) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE) ![Python](https://img.shields.io/badge/python-3.10%2B-blue) ![CLI](https://img.shields.io/badge/interface-CLI-4B5563) ![Ollama](https://img.shields.io/badge/ollama-compatible-111827) ![LiteLLM](https://img.shields.io/badge/litellm-ready-2563EB) ![GitHub last commit](https://img.shields.io/github/last-commit/adityak74/subagent-fleet) ![GitHub issues](https://img.shields.io/github/issues/adityak74/subagent-fleet)

[Quickstart](#quickstart) • [Configuration](#configuration) • [Examples](examples/) • [Generated Files](#generated-files) • [Security](#security) • [Roadmap](#roadmap)

Overview

Local model users often have more than one useful machine: a laptop, a Mac mini, a workstation, a home server, or a spare GPU box. Most coding harnesses still point at one model endpoint.

`subagent-fleet` sits above Ollama and LiteLLM as the control plane — routing, monitoring, warming, and tracing your local subagent fleet:

Claude Code / coding harness
            |
        v
  subagent-fleet control plane
       (routing · health · warmup · traces)
            |
            +-- Ollama node: laptop             -> planner, summarizer
            +-- Ollama node: Mac mini 64GB -> implementer, reviewer
            +-- Ollama node: workstation        -> implementer, reviewer