Article Source: AI Monkey

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In the past few months, research related to autonomous artificial intelligence agents has significantly increased, especially in the context of large language models (LLM), changing the way people interact with the internet or networks - whether it's sending emails, negotiating, manufacturing products, purchasing, fulfilling orders, or even how LLM will be established in the near future.

LLM currently relies on human guidance, lacking autonomous reasoning, while autonomous agents can operate independently, make real-time decisions, and adapt to constantly changing scenarios. An exciting application of autonomous agents is their ability to enhance the performance of LLM. They collaborate in multi-agent dialogues, enabling LLM to improve through feedback and reasoning communication.

Microsoft recently introduced AutoGen, a framework that uses multiple communicating agents to build LLM applications. Similarly, Google DeepMind recently published a paper "How FaR Are Large Language Models From Agents with Theory-of-Mind?" and even Meta's Shepherd: language model generating critics also discussed enhancing and executing tasks through similar autonomous AI agents.

Other papers include SELF: Language-Driven Self-Evolution for Large Language Model and SelfEvolve: A Code Evolution Framework via Large Language Models.

OpenAI is also preparing to launch a similar product at next month's DevDay, reportedly called JARVIS.

Here is the latest list of autonomous artificial intelligence agents:

AutoGen

For example, Microsoft's AutoGen utilizes LLM to create versatile agents that can learn, adapt, and even encode. The fusion of this capability, along with caching and human intervention, allows artificial intelligence systems to continuously evolve and thrive.

AutoGen simplifies the creation of next-generation LLM applications, automating and optimizing complex workflows. This AI agent supports various dialogue modes, allowing developers to customize agent interactions. It provides multiple working systems for different applications and can replace OpenAI's tools to enhance reasoning API.

MusicAgent

Microsoft researchers recently introduced MusicAgent, an autonomous agent in the music domain supported by LLM. It is claimed that this artificial intelligence agent can help developers automatically analyze user requests and select appropriate tools as solutions. Their new framework directly integrates numerous music-related tools from various sources, including Hugging Face, GitHub, web searches, and more.

In addition, researchers have adjusted autonomous workflows to achieve better compatibility for music tasks, allowing users to expand their toolset. They hope to integrate more music-related functionalities into MusicAgent.

MiniAGI

MiniAGI is a simple autonomous agent that seamlessly collaborates with GPT-3.5-Turbo and GPT-4. It utilizes powerful prompts, a minimal toolkit, a range of thoughts, and short-term memory containing summaries. Additionally, it has the ability for inner monologue and self-criticism.

Multi-GPT

Multi-GPT is an experimental multi-agent system with "expertGPT" collaborating to complete tasks. Each ExpertGPT has separate short-term and long-term memory and the ability to communicate with others. Users can assign tasks, and expertGPTs will collectively complete them.

The system provides internet access for information gathering and searching. It effectively manages short-term and long-term memory. It uses GPT-4 instances for text generation, provides access to popular websites and platforms, and includes file storage and summaries using GPT-3.5. This makes Multi-GPT a versatile tool to meet various task and data management needs.

BeeBot

BeeBot is an autonomous artificial intelligence assistant designed to simplify and automate various practical tasks. With BeeBot, users can experience the convenience of selecting tools through AutoPack and flexibly acquiring additional tools as tasks progress. Additionally, built-in persistence ensures BeeBot can remember and recall information, making it a more reliable assistant.

Thanks to its REST API (following a universal standard called e2b), it can easily integrate with different systems and services. BeeBot also shares updates in real-time using a websocket server, keeping you informed at all times. It is suitable for different ways of storing files, such as in memory, on the computer, or in a database.

Baby AGI

Baby AGI is a Python script that simplifies task management using OpenAI and Pinecone API, as well as the LangChain framework. This AI-driven system excels at creating, organizing, prioritizing, and executing tasks based on predefined goals learned from past tasks.

Baby AGI utilizes OpenAI's natural language processing (NLP) capabilities to formulate new tasks that align with established goals. Pinecone serves as a repository for storing task results and retrieving context, while the LangChain framework handles decision-making.

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