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agent-zero
Docker app from Selfhosters
Overview
Simply provide your API key from a supported Large Language Model (LLM) provider (like OpenAI, Anthropic, or Cohere), describe the agent you want to build, and Agent-Zero will generate, test, and deploy it for you.
FIRST RUN SETUP: After deploying this container, access the web interface and configure your LLM provider during the initial setup. You must provide your own API key or Ollama instance URL for at least one LLM provider for the application to be useful. All configuration is done through the web interface on first run.
GPU Support: This template will pass all available Nvidia GPUs to the container. This requires the Nvidia-Plugin to be installed from Community Applications.
BRANCH parameter is in post-arguments, because it needs to be passed after the tailscale package completes, or the container will fail to start.[/br] Future-Proofing Note: The GPU passthrough setting is included to future-proof the container for when the developer begins releasing CUDA-enabled images directly to Docker Hub. If you do not require GPU functionality, feel free to remove the '--runtime=nvidia' parameter from the 'Extra Parameters' field.
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Install agent-zero on Unraid in a few clicks.
Find agent-zero in Community Apps on your Unraid server, review the template, and click Install. Unraid handles the Docker app or plugin setup from the published template.
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agent0ai/agent-zero:latestRuntime arguments
- Web UI
http://[IP]:[PORT:80]- Network
bridge- Privileged
- false
- Extra Params
--runtime=nvidia
Template configuration
The port to access the Agent-Zero web interface. The container listens on port 80, which is mapped to the host port you specify here.
- Target
- 80
- Default
- 50080
- Value
- 50080
Container path for storing application data, agent configurations, and logs.
- Target
- /a0
- Default
- /mnt/user/appdata/agent-zero
- Value
- /mnt/user/appdata/agent-zero
The UUID of the NVIDIA GPU to pass to the container. 'all' will pass all available GPUs.
- Target
- NVIDIA_VISIBLE_DEVICES
- Default
- all
- Value
- all
The base URL of an Ollama instance that can be used as a fallback if no other LLM providers are configured.
- Target
- OLLAMA_BASE_URL
- Default
- http://localhost:11434
- Value
- http://localhost:11434
The base URL of an LM Studio instance that can be used as a fallback if no other LLM providers are configured.
- Target
- LM_STUDIO_BASE_URL
- Default
- http://localhost:1234/v1
- Value
- http://localhost:1234/v1