Welcome to Swarms - the future of AI, where we leverage the power of autonomous agents to create 'swarms' of Language Models (LLM) that work together, creating a dynamic and interactive AI system.
## Vision
In the world of AI and machine learning, individual models have made significant strides in understanding and generating human-like text.
Artificial Intelligence has grown at an exponential rate over the past decade. Yet, we are far from fully harnessing its potential. Today's AI operates in isolation, each working separately in their corner. But life doesn't work like that. The world doesn't work like that. Success isn't built in silos; it's built in teams.
But imagine the possibilities when these models are no longer solitary units, but part of a cooperative and communicative swarm. This is the future we envision.
Imagine a world where AI models work in unison. Where they can collaborate, interact, and pool their collective intelligence to achieve more than any single model could. This is the future we envision. But today, we lack a framework for AI to collaborate effectively, to form a true swarm of intelligent agents.
Just as a swarm of bees works together, communicating and coordinating their actions for the betterment of the hive, swarming LLM agents can work together to create richer, more nuanced outputs.
By harnessing the strengths of individual agents and combining them through a swarming architecture, we can unlock a new level of performance and responsiveness in AI systems. We envision swarms of LLM agents revolutionizing fields like customer support, content creation, research, and much more.
This is a difficult problem, one that has eluded solution. It requires sophisticated systems that can allow individual models to not just communicate but also understand each other, pool knowledge and resources, and create collective intelligence. This is the next frontier of AI.
But here at Swarms, we have a secret sauce. It's not just a technology or a breakthrough invention. It's a way of thinking - the philosophy of rapid iteration. With each cycle, we make massive progress. We experiment, we learn, and we grow. We have developed a pioneering framework that can enable AI models to work together as a swarm, combining their strengths to create richer, more powerful outputs.
We are uniquely positioned to take on this challenge with 1,500+ devoted researchers in Agora. We have assembled a team of world-class experts, experienced and driven, united by a shared vision. Our commitment to breaking barriers, pushing boundaries, and our belief in the power of collective intelligence makes us the best team to usher in this future to fundamentally advance our species, Humanity.
## Table of Contents
@ -128,8 +131,6 @@ Here is the detailed roadmap of our priorities and planned features for the near
## TODO
* Fix all errors to working prototype
* Create a tool that creates other tools with access to write code, debug, and an architectural argent that creates the architecture and then another agent that creates the code[Architecter(with code examples), code generator (with access to writing code and terminalrools)] -- The Compiler?
* Create a screenshot tool that takes a screen shot and then passes it to a worker multi-modal agent for visual context.
@ -140,6 +141,9 @@ Here is the detailed roadmap of our priorities and planned features for the near
* Integrate omni agent as a worker tool
* Integrate Ocean Database as primary vectorstore
* Integrate visual agent
1. **Multi-Agent Debate Integration**: Integrate multi-agent debate frameworks ([Multi Agent debate](https://github.com/Skytliang/Multi-Agents-Debate) and [Multi agent2 debate](https://github.com/composable-models/llm_multiagent_debate)) to improve decision-making.
Kye
2 years ago