necroswarm

Orchestrate autonomous subagents and council deliberation for multi-model tasks.

Updated Aug 23, 2026

Search Tags:#orchestration #memory #swarm #council #sovereign #necroswarm

Ready to run

npx skills add https://github.com/0x-wzw/necroswarm --skill necroswarm

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: necroswarm
Source: https://github.com/0x-wzw/necroswarm/tree/main
Command: npx skills add https://github.com/0x-wzw/necroswarm --skill necroswarm

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

NecroSwarm provides a self-contained, production-ready framework for multi-agent orchestration, enabling autonomous subagents, council deliberation, and memory persistence to scale complex tasks across a swarm.

Core Features & Use Cases

Production-grade swarm orchestration with 10-D sovereign control
Spawn subagents, run multi-model council deliberations, and maintain persistent memory
Use cases include large-scale simulations, cross-domain coordination, and production deployments

Quick Start

Install and activate NecroSwarm in Hermes to load the swarm leader and spawn the initial subagents.

Frequently Asked Questions about necroswarm

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How does multi-agent orchestration work for production deployments?▼

Multi-agent orchestration works by spawning autonomous subagents and running multi-model council deliberations to solve complex tasks. It maintains memory persistence and provides sovereign control to scale swarms across domains for production environments.

Do I need Docker and Python 3.11 to run a sovereign swarm?▼

Yes, you need Docker, Python 3.11+, and Ollama-compatible runtimes to execute and manage the sovereign swarm. These environments support the framework's autonomous subagents, memory persistence, and council deliberation processes.

How do I orchestrate a council deliberation across multiple models?▼

You orchestrate council deliberation by activating the swarm leader in Hermes to load the framework and spawn initial subagents. The system then coordinates multi-model deliberations while maintaining persistent memory across the swarm.

What is the best way to maintain memory persistence in a multi-agent swarm?▼

The best way to maintain memory persistence is using a framework that provides 10-D sovereign control over autonomous subagents. This enables memory persistence alongside council deliberation for large-scale simulations and cross-domain coordination.

Can I use autonomous subagents for large-scale cross-domain simulations?▼

Yes, autonomous subagents support large-scale simulations and cross-domain coordination. The orchestration framework scales across domains by providing memory persistence and sovereign control for production deployments.