ruvnet/claude-flow
Claude-Flow is an enterprise-grade AI orchestration platform that enables deployment and coordination of intelligent multi-agent swarms and autonomous workflows for building advanced conversational AI systems.
Awesome AI Agents › AI Agent Orchestration
DmitrySolana/Molt-Pi-Maker
This repository, listed here under its earlier name Molt-Pi-Maker and now published as Hermes Agent Control Room, is a template for running a fleet of Hermes agents from a single VPS. The Control Room itself is not an agent: it is a sidecar repository or folder that acts as the system map, operating manual, registry, runbook library and recovery notebook for the agents an operator runs. The stated method is to build the control plane first and plug agents into it afterwards, growing through four levels: a Control Room with one registered agent, then several direct specialists such as hermes-life, hermes-seo, hermes-dev, hermes-cmo and hermes-ops that the operator addresses individually, then an optional hermes-orchestrator acting as a front door that routes work and synthesises results, and finally recurring automated workflows, added only once the manual process works. Delegation between the orchestrator and the specialists runs through an Agent Task Bus, a filesystem handoff area at /srv/agent-bus with inbox, working, outbox and archive folders. The design deliberately keeps the orchestrator from accumulating every credential, and the operator keeps direct access to any agent at any time. The repository ships a suggested folder layout with documents on architecture, levels, naming, security, the task bus and the orchestrator, plus templates for agent runbooks, Docker notes, secret maps and backups. It also bundles skills that can be linked into Claude Code or adapted for Hermes: create-vps provisions a Hetzner server with an SSH key, an SSH alias and a local provisioning folder, setup-control-room bootstraps the machine with Node, Claude Code, Codex, Docker, the Hermes agent and this template, and further skills manage the Control Room documents, route tasks to specialists, maintain the agent registry, design and audit per-agent backups without committing secrets, audit ports, dashboards, SSH, Docker and key scope, and plan recurring multi-agent workflows. It is documentation and shell tooling rather than a runtime.
https://github.com/DmitrySolana/Molt-Pi-Maker
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