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AtlasRepo

From docker compose up to Your First Custom Agent

说明与用途

在 Docker 中运行 Auto Learning Agents 可快速部署本地 AI 代理,配置最小化。

问题

Run an AI agent platform locally without renting cloud services.

结果

The platform runs with minimal setup, allowing users to create and schedule custom agents that execute tasks on a defined schedule.

工作流

  • Clone the repo and copy the example env file
  • Run docker compose up -d to start the container
  • Verify ports 80 and 9500 are exposed
  • Edit agents.json to add a custom agent
  • Set tick_minutes, model, and instructions_file
  • Enable the agent and observe runs in the activity feed

证据

The platform ships as a single Docker image. It bundles the Elixir/OTP release that supervises every agent, PHP for the tool layer, Python with a local embedding model, Playwright with Chromium for browser automation, and Apache serving the web UI.

来源

git clone https://github.com/AIAppsAPI/auto-learning-agents cd auto-learning-agents cp .env.example .env docker compose up -d

来源

A custom agent is one entry in agents.json: ... tick_minutes is the schedule, model is the brain, and the instructions file is the job description.

来源

  • 记录日期: 2026-10-02T00:55:44.288Z