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<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.

Home Page: https://superagi.com/

License: MIT License

Python 70.69% Shell 0.63% Batchfile 0.05% Dockerfile 0.09% Mako 0.03% JavaScript 24.52% CSS 3.99%
agi ai autonomous-agents python agents artificial-intelligence gpt-4 openai artificial-general-intelligence superagi

superagi's Introduction

SuperAGI logo SuperAGI logo

Open-source framework to build, manage and run useful Autonomous AI Agents

SuperAGI forks SuperAGI stars SuperAGI Commits

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Connect with the Creator

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What are we ?

A dev-first open source autonomous AI agent framework enabling developers to build, manage & run useful autonomous agents. You can run concurrent agents seamlessly, extend agent capabilities with tools. The agents efficiently perform a variety of tasks and continually improve their performance with each subsequent run.

💡 Features

  • Provision, Spawn & Deploy Autonomous AI Agents - Create production-ready & scalable autonomous agents.
  • Extend Agent Capabilities with Toolkits - Add Toolkits from our marketplace to your agent workflows.
  • Graphical User Interface - Access your agents through a graphical user interface.
  • Action Console - Interact with agents by giving them input and permissions.
  • Multiple Vector DBs - Connect to multiple Vector DBs to enhance your agent’s performance.
  • Performance Telemetry - Get insights into your agent’s performance and optimize accordingly.
  • Optimized Token Usage - Control token usage to manage costs effectively.
  • Agent Memory Storage - Enable your agents to learn and adapt by storing their memory.
  • Models - Custom fine tuned models for business specific usecases.
  • Workflows - Automate tasks with ease using ReAct LLM's predefined steps.

🛠 Toolkits

Toolkits allow SuperAGI Agents to interact with external systems and third-party plugins.

Twitter Coding Tool Instagram Knowledge Search Email Jira File Manager Google Search Dall-E Github Web Interaction Duckduckgo Google Calendar Google Calendar Serp API Searx Web Scraper Notion Apollo

⚙️ Installation

You can install superAGI using one of the following three approaches.

☁️ SuperAGI cloud

To quickly start experimenting with agents without the hassle of setting up the system, try Superagi Cloud

  1. Visit Superagi Cloud and log in using your github account.

  2. In your account settings, go to "Model Providers" and add your API key.

You're all set! Start running your agents effortlessly.

🖥️ Local

  1. Open your terminal and clone the SuperAGI repository.
git clone https://github.com/TransformerOptimus/SuperAGI.git 
  1. Navigate to the cloned repository directory using the command:
cd SuperAGI
  1. Create a copy of config_template.yaml, and name it config.yaml.

  2. Ensure that Docker is installed on your system. You can download and install it from here.

  3. Once you have Docker Desktop running, run the following command in the SuperAGI directory:

    a. For regular usage:

    docker compose -f docker-compose.yaml up --build
    

    b. If you want to use SuperAGI with Local LLMs and have GPU, run the following command:

    docker compose -f docker-compose-gpu.yml up --build
    
  4. Open your web browser and navigate to http://localhost:3000 to access SuperAGI.

🌀 Digital Ocean


Deploy SuperAGI to DigitalOcean with one click.

SuperAGI Architecture

SuperAGI Architecture

Agent Architecture

Agent Architecture

Agent Workflow Architecture

Agent Workflow Architecture

Tools Architecture

Tools Architecture

ER Diagram

ER Diagram

📚 Resources

📖 Need Help?

Join our Discord community for support and discussions.

Join us on Discord

If you have questions or encounter issues, please don't hesitate to create a new issue to get support.

💻 Contribution

We ❤️ our contributors. We’re committed to fostering an open, welcoming, and safe environment in the community.

If you'd like to contribute, start by reading our Contribution Guide.

We expect everyone participating in the community to abide by our Code of Conduct.

To get more idea on where we are heading, checkout our roadmap here.

Explore some good first issues to start contributing.

👩‍💻 Contributors

TransformerOptimus Cptsnowcrasher vectorcrow Akki-jain Autocop-AgentCOLONAYUSHluciferlinx101mukundans89Fluder-ParadynenborthynihirrTarraannneelayan7Arkajit-Dattaguangchen811juanfpo96iskandarrezajpenalbaepallasite99xutpuualexkreidlerhanhyalex123ps4vseltociear shaiss AdityaRajSingh1992 namansleeps2 sirajperson hsm207 unkn-wn DMTarmey Parth2506 platinaCoder anisha1607 jorgectf PaulRBerg boundless-asura JPDucky Vibhusha22 ai-akuma rounak610 AdarshJha619 ResoluteStoic JohnHunt999 Maverick-F35 jorgectf AdityaSharma13064 lalitlj andrew-kelly-neutralaiz sayan1101

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⚠️ Under Development!

This project is under active development and may still have issues. We appreciate your understanding and patience. If you encounter any problems, please check the open issues first. If your issue is not listed, kindly create a new issue detailing the error or problem you experienced. Thank you for your support!

superagi's People

Contributors

adarshjha619 avatar akki-jain avatar anisha1607 avatar arkajit-datta avatar aryan-singh-14 avatar autocop-agent avatar coder5492 avatar coffeecoder16 avatar colonayush avatar feelingagile avatar fluder-paradyne avatar hsm207 avatar jagtarcontlo avatar jedan2506 avatar jpducky avatar luciferlinx101 avatar namansleeps avatar namansleeps2 avatar nborthy avatar neelayan7 avatar nihiragarwal24 avatar nishantborthakur avatar phoenix2809 avatar rounak610 avatar sirajperson avatar tarraann avatar transformeroptimus avatar unkn-wn avatar vibhusha22 avatar xaidrian avatar

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superagi's Issues

Agent clusters

There should be a way to create a cluster of agents which can pick tasks from task queue and run in parallel.

Should LMQL/Microsoft Guidance be used in the prompts architecture of SuperAGI and part of the repository?

The potential benefits are listed below:

  1. As syntactic norms are followed or that certain words or phrases are avoided, restructuring prompts to LLMs using LMQL should greatly reduce the JSON errors that popup (will be even more relevant as the capabilities are added)
  2. LMQL maintains or improves the accuracy of various downstream tasks while substantially reducing computation or cost in pay-to-use APIs, resulting in cost savings >10%

Introductory research paper: https://arxiv.org/pdf/2212.06094.pdf
Website: https://lmql.ai/
Docs: https://docs.lmql.ai/
Example: https://github.com/rumpfmax/Multi-GPT/tree/master/multigpt/lmql_utils

Agents communicating with each other

Hi guys

I was just wondering if we can make the agents conversational - as in each agent communicates with each other in order to get the assign tasks completed ?

Budget Manager

Hey

Is there a feature to manage the budget? I would like to know how many of my credits are being used in a single run.

Task queue for Agent

An agent can have its own task queue to pick and execute tasks. For agent clusters, there can be a shared task queue accessible to multiple agents.

Parsing PDFs

Has a tool been made to parse PDFs into SuperAGI? I'd like to give SuperAGI the ability to access a PDF file.

Finalise the architecture

Need to finalise the agent creation, execution, project, org etc. architecture. And add the diagram in docs as well.

Log Management

Need log management in SuperAGI. There can be different types of logs like agent logs, system logs etc.

Loop detection and handling

If Agent goes into a loop, it should detect it and find ways to come out of it and proceed to the next step.

Different types of agents

Need a way to create and manage different types of agents with tasks, without tasks, chatbot etc.

CLI

SuperAGI command line. The args and params can be similar to REST apis

Long term memory

Hey guys !

Can we also have a way to let agents have long-term memory? like using Pinecone to store the context in the database?

Agents creating agents

It would be nice to see if agents are able to create sub-agents to delegate tasks assigned.

Multi Modal Agents

There should be multi-modal agents that can process images, audio files, etc so that we can provide more context along with the prompt.

GUI

There should be a way to provision, spawn and run agents through a GUI

GUI should include :

  1. Ability to provision an agent
  2. Ability to run an agent and see the agent feed, have an action console to see all the actions / notifications, stats of run
  3. Create tools - it can include code packaging and bundling as well from gui

Budget Manager

Need a Budget Manager manage to manage costs like api usage

Long term memory ( LTM )

I should have an option to define LTM or Long term memory by picking any of the vector dbs - Pinecone, Weaviate, Chroma etc

Twitter Bot with SuperAGI

I'm trying to connect SuperAGI to Twitter so that the agent can scout for the latest trends in AI, summarize that and create automated tweets with the summary. Is there any way to connect Twitter?

Integration with other open source models

I've been playing around with other language models such as GPT4all, Vicuna 13B, Alpaca and the results have been promising so far. Is there any way for me to test SuperAGI with other open source models? That would be great!

How can I connect to Gmail

Hey Guys

I just managed to install SuperAGI and it's working as it should.

I was thinking of testing a a case where I can write personalized job application emails with my Gmail. Is there any way to connect SuperAGI with gmail?

Google Search

Agents should have the ability to perform Google Search

Give explicit exit conditions for the agent to know when it's task is done

One of the challenge with existing libraries for autonomous agents is that they get in loop because they don't know if the task they are trying to accomplish has been completed. So explicit option to define exit condition for agent can be a good feature to include.

Exit condition can be user defined or LLM defined.

Same primitive can be extended to include time based ( TAT ) or steps based exit.

Add Github as a tool

Would be cool to have Github as a tool

You can connect your github repo, it should be able to read the code and then make pull requests to make edits to code

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