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name: autogpt-agents description: Autonomous AI agent platform for building and deploying continuous agents. Use when creating visual workflow agents, deploying persistent autonomous agents, or building complex multi-step AI automation systems. version: 1.0.0 author: Orchestra Research license: MIT tags: [Agents, AutoGPT, Autonomous Agents, Workflow Automation, Visual Builder, AI Platform] dependencies: [autogpt-platform>=0.4.0]

AutoGPT - Autonomous AI Agent Platform

Comprehensive platform for building, deploying, and managing continuous AI agents through a visual interface or development toolkit.

When to use AutoGPT

Use AutoGPT when:

• Building autonomous agents that run continuously
• Creating visual workflow-based AI agents
• Deploying agents with external triggers (webhooks, schedules)
• Building complex multi-step automation pipelines
• Need a no-code/low-code agent builder

Key features:

• Visual Agent Builder: Drag-and-drop node-based workflow editor
• Continuous Execution: Agents run persistently with triggers
• Marketplace: Pre-built agents and blocks to share/reuse
• Block System: Modular components for LLM, tools, integrations
• Forge Toolkit: Developer tools for custom agent creation
• Benchmark System: Standardized agent performance testing

Use alternatives instead:

• LangChain/LlamaIndex: If you need more control over agent logic
• CrewAI: For role-based multi-agent collaboration
• OpenAI Assistants: For simple hosted agent deployments
• Semantic Kernel: For Microsoft ecosystem integration

Quick start

Installation (Docker)

# Clone repository
git clone https://github.com/Significant-Gravitas/AutoGPT.git
cd AutoGPT/autogpt_platform

# Copy environment file
cp .env.example .env

# Start backend services
docker compose up -d --build

# Start frontend (in separate terminal)
cd frontend
cp .env.example .env
npm install
npm run dev

Access the platform

• **Fronten