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@ -9,7 +9,35 @@ AgentCoord is an experimental open-source system to help general users design co
alt="System Usage Video" width="800" border="5" /></a>
## Installation
### Installation
### Install with Docker (Recommended)
If you have installed [docker](https://www.docker.com/) and [docker-compose](https://docs.docker.com/compose/) on your machine, we recommend running AgentCoord in docker：
Step 1: Clone our project and start the servers:
```bash
git clone https://github.com/AgentCoord/AgentCoord.git
cd AgentCoord
docker-compose up
```
Step 2: Open http://localhost:8080/ to use the system.
### Install on your machine
If you want to install and run AgentCoord on your machine without using docker:
Step 1: Clone the project
```bash
git clone https://github.com/AgentCoord/AgentCoord.git
cd AgentCoord
```
Step 2: Install required packages for the backend and frontend servers (check readme.md in ./frontend and ./backend folders)
Step 3: Run the backend and frontend servers separately (check readme.md in ./frontend and ./backend folders).
Step 4: Open http://localhost:8080/ to use the system.
## Configuration
```bash
git clone https://github.com/AgentCoord/AgentCoord.git
cd AgentCoord
@ -25,11 +53,6 @@ You can switch to a fast mode that uses the Mistral 8×7B model with hardware ac
Currently, we support config agents by [role-prompting](https://arxiv.org/abs/2305.14688). You can customize your agents by changing the role prompts in AgentRepo\agentBoard_v1.json. We plan to support more methods to customize agents (e.g., supporting RAG, or providing a unified wrapper for customized agents).
### Launch
Execute the following command to launch the system:
```bash
python server.py
```
## More Papers & Projects for LLM-based Multi-Agent Collaboration
If you’re interested in LLM-based multi-agent collaboration and want more papers & projects for reference, you may check out the corpus collected by us: