autogpt-agents

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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.

AI & Automation 27,705 stars 2858 forks Updated today MIT

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# 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) ```bash # 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 ins...

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Author
davila7
Repository
davila7/claude-code-templates
Created
11 months ago
Last Updated
today
Language
Python
License
MIT

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