Top General purpose AI Agents

Just 300 lines of code This was built as a d iteration on the original BabyAGI code in a lightweight way. Differences to BabyAGI include the following: Task Creation Agent runs once Execution Agent loops through tasks Task dependencies for pulling relevant results Two tools: search tool and text completion “Mini-agent” as tool Search tool combines search, scrape, chunking, and extraction. Results combined to create summary report <!--

Features Parallel tasks (making it faster) 3.5-turbo only (GPT-4 not required) User input tool Query rewrite in web search tool Saves results

Features Skills class allows for creation of new skills 'Dynamic task list' example with vector search Beta reflection agent Can read, write, and review its own code

A mod of BabyElfAGI, in a series of mods w the naming of Baby<animal>AGI in alphabetical order Self-improving task lists (FOXY method) By storing a final reflection at the end, and pulling the most relevant reflection to guide future runs, BabyAGI slowly generates better and better tasks lists Novel Chat UI w parallel tasks You can chat w BabyAGI! It has an experimental UI where the chat is separate from the tasks/output panel, allowing you to request multiple tasks in parallel The Chat UI can use a single skill quickly, or chain multiple skills together using a tasklist New skills 🎨 DALLE skill with prompt assist 🎶 Music player w Deezer 📊 Airtable search (add your own table/base ID) 🔍 Startup Analyst (example of beefy function call as a skill) It’s own README

Godmode is a project inspired by Auto-GPT and BabyAGI, conducting various kinds of tasks via nice UI A web platform inspired by AutoGPT and BabyAGI What it can do: Order your coffee at Starbucks Perform market analysis Find and negotiate a lease Supports GPT-3.5 & GPT-4

Loop GPT is a re-implementation of the popular Auto-GPT project as a proper python package, written with modularity and extensibility in mind Languages: Python Default model: GPT-3.5-turbo (also possible with GPT-4) Modular Auto-GPT Framework Plug N Play" API - Extensible and modular "Pythonic" framework, not just a command line tool Features "Easy to add new features, integrations and custom agent capabilities, all from python code, no nasty config files!" "Minimal prompt overhead - Every token counts. We are continuously working on getting the best results with the least possible number of tokens." "Human in the Loop - Ability to "course correct" agents who go astray via human feedback." "Full state serialization - can save the complete state of an agent, including memory and the states of its tools to a file or python object. No external databases or vector stores required (but they are still supported)!" <!--

An experimental open-source attempt to make GPT-4 fully autonomous Multiple "expertGPTs" collaborate to perform a task Each with their own short and long-term memory and the ability to communicate with each other Features Set a task and watch the experts get to work. Internet access for searches and information gathering Long-Term and Short-Term memory management GPT-4 instances for text generation Access to popular websites and platforms File storage and summarization with GPT-3.5

A BabyAGI-inspired agent that can recall infinite memory, "thinks" before making action, and doesn't lose memory after being shutting down Model: GPT-4 Language: Python Uses OpenAI and Pinecone to give memory to an AI agent and also allows it to "think" before making an action (outputting text) Also, just by shutting down the AI, it doesn't forget its memories since it lives on Pinecone and its memory counter saves the index that it's on A process that happens every time the AI is queried by the user: AI vectorizes the query and stores it in a Pinecone Vector Database AI looks inside its memory and finds memories and past queries that are relevant to the current query AI thinks about what action to take AI stores the thought from Step 3 Based on the thought from Step 3 and relevant memories from Step 2, AI generates an output AI stores the current query and its answer in its Pinecone vector database memory

"This is a Swift port of BabyAGI, an example of an AI-powered task management system that uses OpenAI and Pinecone APIs to create, prioritize, and execute tasks. The main idea behind this system is that it creates tasks based on the result of previous tasks and a predefined objective."

By creator of GitHub Copilot, in waitlist stage

"Delegate your tasks to autonomous AI agents. Transform your daily work with revolutionary and intuitive AI tools powered by GPT4" Access APIs like Zapier, Wolfram, etc. Open links Manipulate files Search web