by humanlayer · MCP Server · ★ 348
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.
| Stars | 348 |
| Forks | 52 |
| Language | Go |
| Category | MCP Server |
| Quality Score | 65.1248913016265/100 |
| Open Issues | 5 |
| 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 348 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 348 stars and 52 forks, indicating an active community.