γDocumentation | Paperγ
Imagine if AI agents could collaborate like humans do on the internet. That's the idea behind Internet of Agents (IoA)! It's an open-source framework that aims to create a platform where diverse AI agents can team up to tackle complex tasks. For example, agents like AutoGPT and Open Interpreter can come together, share their unique skills, and work on problems that might be too tricky for a single agent to solve.
For more details, please refer to our paper.
A peek at IoA's layered architecture
How IoA works
Get IoA up and running in just a few steps:
git clone git@github.com:OpenBMB/IoA.git
cd IoA
You can directly pull the pre-built docker images from docker hub
# Server
docker pull weize/ioa-server:latest
# Client
docker pull weize/ioa-client:latest
# Server Frontend
docker pull weize/ioa-server-frontend:latest
# Rename the images
docker tag weize/ioa-server:latest ioa-server:latest
docker tag weize/ioa-client:latest ioa-client:latest
docker tag weize/ioa-server-frontend:latest ioa-server-frontend:latest
# ReAct Agent
docker pull weize/react-agent:latest
docker tag weize/react-agent:latest react-agent:latest
# AutoGPT (we have fixed some bugs in AutoGPT's original docker image)
docker pull weize/autogpt:latest
docker tag weize/autogpt:latest autogpt:latest
# Open Interpreter
docker pull weize/open-interpreter:latest
docker tag weize/open-interpreter:latest open-interpreter:latest
docker network create agent_network
docker-compose -f dockerfiles/compose/milvus.yaml up
cd dockerfiles/compose/
cp .env_template .env
In .env
, fill in your OpenAI API key and other optional environment variables. Then for a quick demo with AutoGPT and Open Interpreter:
cd ../../
docker-compose -f dockerfiles/compose/open_instruction.yaml up
And you will set up your own small-scale Internet of Agents with AutoGPT and Open Interpreter!
You can use the following script to test IoA on our Open Instruction dataset.
python scripts/open_instruction/test_open_instruction.py
Or simply send a post request like:
import requests
goal = "I want to know the annual revenue of Microsoft from 2014 to 2020. Please generate a figure in text format showing the trend of the annual revenue, and give me an analysis report."
response = requests.post(
"http://127.0.0.1:5050/launch_goal",
json={
"goal": goal,
"max_turns": 20,
"team_member_names": ["AutoGPT", "Open Interpreter"], # When it is left "None", the agent will decide whether to form a team autonomously
},
)
print(response)
We're just getting started with IoA, and we'd love your help to make it even better! Got ideas for cool ways to use IoA, like connecting PC agents with mobile agents? We're all ears!
Let's build the future of AI collaboration together! π