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agent-control

🚀 High-performance AI Agent Control Plane, Task Orchestration & Model Context Protocol (MCP) Platform

  • agent-control-plane
  • ai-agent
  • autonomous-agents
  • crawler-pipeline
  • dag-workflow
  • fastapi
  • mcp-server
  • model-context-protocol
  • task-orchestration
  • workflow-engine
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Ranking data as of October 11, 2026 (UTC).

Overview

🚀 High-performance AI Agent Control Plane, Task Orchestration & Model Context Protocol (MCP) Platform

The project is written in Python. It was created 12d ago.

AI-generated summary of the repository README — may contain errors.

What it is

Agent Control is a Python platform described as a high-performance AI agent control plane, task orchestration engine and Model Context Protocol (MCP) platform. It is built on FastAPI, Uvicorn and SQLAlchemy 2.0, according to the README summary.

Capabilities described

- Manages autonomous agents, distributed task dispatch and heartbeat leasing. - Capability matching, automatic lease expiry and a distributed agent state machine. - DAG workflow execution. - Data collection pipelines. - Lists MCP support through the topics and description.

Getting started

The supplied evidence does not include setup steps or commands. See the repository README.

Installation
git clone https://github.com/loulanyue/agent-control.git
cd agent-control
# see README for setup

Frequently Asked Questions

What is the core purpose?

The description calls it an AI agent control plane with task orchestration and MCP support. The README summary describes managing agents, dispatching tasks and running DAG workflows.

What framework does it use?

The README summary says it is built on FastAPI, Uvicorn and SQLAlchemy 2.0.

What license does it use?

The supplied metadata lists Apache-2.0.