
promptpanel
Accelerate your AI agent adoption. A platform for building AI assistants. Run LLMs from OpenAI, Anthropic, Ollama, Mistral, Llama, and Google Gemini.
Stars: 53

Prompt Panel is a tool designed to accelerate the adoption of AI agents by providing a platform where users can run large language models across any inference provider, create custom agent plugins, and use their own data safely. The tool allows users to break free from walled-gardens and have full control over their models, conversations, and logic. With Prompt Panel, users can pair their data with any language model, online or offline, and customize the system to meet their unique business needs without any restrictions.
README:
Prompt Panel
Accelerating your AI agent adoption
Documentation | DockerHub | GitHub
curl -sSL https://promptpanel.com/manifest/docker-compose.yml | docker compose -f - up
which runs the following docker-compose.yml
:
version: "3.9"
services:
promptpanel:
image: promptpanel/promptpanel:latest
container_name: promptpanel
restart: always
volumes:
- ./database:/app/database
- ./media:/app/media
ports:
- 4000:4000
environment:
PROMPT_OLLAMA_HOST: http://ollama:11434
ollama:
image: ollama/ollama:latest
container_name: ollama
restart: always
After running, your environment will be available at:
http://localhost:4000
Read more on running Prompt Panel.
Your models, conversations, and logic are locked in walled-gardens.
Let's free your AI interface.
- Run any large language model, across any inference provider, any way you want. From commercial models like OpenAI, Anthropic, Gemini, or Cohere - to open source models, either hosted or running locally via Ollama.
- Access controls to assign users to agents without revealing your API tokens or credentials. Enable user sign-up and login with OpenID Connect (OIDC) single sign-on.
- Bring your own data and store it locally on your instance. Use it safely by pairing it with any language model, whether online or offline.
- Create custom agent plugins using Python, to customize your AI agent capabilities, and retrieval augmented generation (RAG) pipelines.
Get started developing using a one-click cloud development environment using GitPod:
This ./plugins
directory contains the community plugin agents found in Prompt Panel as well as a sample agent as a template for you to get started with your own development.
- The
./hello_agent
directory gives you some scaffolding for a sample agent. - The other community plugin agents give you references to sample from.
- The
docker-compose-agent-dev.yml
file gives you a sample with the various mounts and environment variables we recommend for development.
To get more information about how to build your first plugin we recommend giving a read to:
Running DEV_PORT=4001 docker compose up -f docker-compose-agent-dev.yml
from this directory with a development port set will bring up a development environment you can use to start developing your agent plugin.
Command:
DEV_PORT=4001 docker compose up -f docker-compose-agent-dev.yml
With these settings, your development environment will be available at: http://localhost:4001
Feel free to get in contact with us at:
[email protected]
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