No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by humanlayer · MCP Server · ★ 486
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agentcontrolplane safe to install? View the security audit →
Agent Control Plane (ACP) ACP (Agent Control Plane) is a cloud-native orchestrator for AI Agents built on Kubernetes. It supports long-lived outer-loop agents that can process asynchronous execution of both LLM inference and long-running tool calls. It's designed for simplicity and gives strong durability and reliability guarantees. It embraces concepts from 12-factor-agents for agents that make asynchronous tool calls like contacting humans or delegating work to other agents. :warning: Note - ACP is in alpha. Discord Examples Table of Contents Key Features Architecture Core Objects Getting Started Prerequisites Setting Up a Local Cluster Deploying ACP Creating an Agent and Running your first task [Adding Tools with MCP](#adding-tools-wi
| Stars | 486 |
| Forks | 63 |
| Language | Go |
| Category | MCP Server |
| Quality Score | 65.1248913016265/100 |
| Open Issues | 4 |
| Last Updated | 2025-07-02 |
| Created | 2024-10-17 |
| Platforms | go, k8s, mcp |
| Est. Tokens | ~2540k |
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agentcontrolplane is ACP is the Agent Control Plane - a distributed agent scheduler optimized for simplicity, clarity, and control. It is designed for outer-loop agents that run without supervision, and make asynchronous . It is categorized as a MCP Server with 486 GitHub stars.
agentcontrolplane is primarily written in Go. It covers topics such as agent-control-plane, agents, framework.
You can find installation instructions and usage details in the agentcontrolplane GitHub repository at github.com/humanlayer/agentcontrolplane. The project has 486 stars and 63 forks, indicating an active community.
The top alternatives to agentcontrolplane on Agent Skills Hub include sre, kubectl-mcp-server, mcp-framework. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: