AutoGPT: Platform for building autonomous AI agents
Block-based visual editor for autonomous AI agents.
Learn more about AutoGPT
AutoGPT is a platform for building and deploying autonomous AI agents through a visual programming interface backed by an execution server. The frontend implements a block-based editor where users compose agent behaviors by connecting discrete action nodes into workflows, while the backend server handles agent instantiation, lifecycle management, and execution of the defined behavior graphs. The platform provides abstraction layers for integrating multiple language model providers including OpenAI's GPT-4 and open-source alternatives like Llama, enabling model-agnostic agent development. Deployment options include containerized self-hosting via Docker or cloud-based hosting, with both supporting continuous operation modes where agents can be triggered by external events or run on schedules. The system includes a marketplace component for distributing pre-configured agent templates, facilitating reuse of common automation patterns across different deployment environments.
Visual Block-Based Builder
Agents are constructed by connecting discrete action blocks in a visual editor, eliminating code-based configuration. Each block performs a single operation, enabling rapid prototyping and modification without writing integration logic.
Flexible Deployment Options
Self-host via Docker with automated setup scripts or use cloud-hosted infrastructure. Supports the same agent definitions across environments, allowing migration between deployment models without reconfiguration.
Continuous Agent Execution
Deployed agents run persistently and respond to external triggers rather than terminating after single requests. Enables workflow automation and event-driven architectures without manual restart or polling mechanisms.
# Install AutoGPT locally with one command
curl -fsSL https://setup.agpt.co/install.sh -o install.sh
bash install.sh
# Script automatically:
# - Installs Docker dependencies
# - Clones repository
# - Launches the platformAdds chat system with auth-gated access, cron scheduling, and removes deprecated LLM models (migration script included).
- –Run the provided migration script to handle deprecated LLM model removal before upgrading.
- –Upgrade apscheduler to 3.11.1 to fix DST-related scheduling issues in agent execution.
Claude 3.5 Sonnet and Haiku models removed; multiple SQL injection fixes and execution stability improvements.
- –Remove Claude 3.5 Sonnet and Haiku models from available LLM options; update agent configurations accordingly.
- –Apply SQL sanitization patches (#11228, #11279) to prevent injection vulnerabilities in raw queries.
Maintenance release fixing credit spending bugs, JSON escape errors, and LaunchDarkly integration issues; adds shared cache and payment system flag.
- –Update to resolve credit spending bug (#11192) and atomic credit operation issues that affected user balance tracking.
- –Review LaunchDarkly configuration as initialization now fails gracefully and metrics integration is disabled by default.
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