🔮 AI Agents

Welcome to our list of AI autonomous agents. Your favorite one is missing? Add them via pull request. Discussion and feedback appreciated ❤️

AgentGPT

A browser-based implementation of AutoGPT, accessible via a no-code platform

How it works

A no-code platform
Assigning a goal to the agent, witnessing its thinking process, and formulation of an execution plan and taking actions accordingly

Features

Uses OpenAI functions
Supports gpt-3.5-16k, pinecone and pg_vector databases

Stack

Frontend: NextJS + Typescript
Backend: FastAPI + Python
- DB: MySQL through docker with the option of running SQLite locally

AI Legion

Similar in spirit to AutoGPT and Baby AGI, but written in TypeScript

Author: eumemic
Website
GitHub
Twitter

AIrplane

Developer infrastructure for internal tools

AutoGPT

A lot like BabyAGI combined with LangChain tools.
Can execute many commands such as Google Search, browse websites, write to files, and execute Python files
GitHub

BabyAGI

Default model is OpenAI GPT3-turbo
Paper: Task-driven Autonomous Agent Utilizing GPT-4, Pinecone, and LangChain for Diverse Applications
The main idea behind this system is that it creates tasks based on the result of previous tasks and a predefined objective.
The script then uses OpenAI's NLP capabilities to create new tasks based on the objective

BabyCatAGI

BabyCatAGI is a mod of BabyBeeAGI, which is a mod of OG BabyAGI. BabyCatAGI is at 300 lines of code.

Camel

CAMEL: Communicative Agents for “Mind” Exploration of Large Scale Language Model Society

Cognosys

Web based version of AutoGPT/babyAGI

Friendly UI for building AI agents
Author: Sully Omarr
Twitter: https://twitter.com/SullyOmarr

Heymoon.ai

Personal assistant for life: to keep you on top of your calendar, tasks and information. Was at Llama event demo

- 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 - 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)!

Researchers from Stanford and Google created an interactive sandbox env with 25 Gen AI agents can simulate human behavior
They walk in the park, join for coffee at a cafe, and share news with colleagues. They demonstrated surprisingly good social
Westworld's inspiration is drawn from Unity software and Unity ML Agents, adapted in Python

Underlying paper - Generative Agents

A paper simulating interactions between tens of agents
Presenting an architecture that extends a language model to store and synthesize the agent's experiences, enabling dynamic behavior planning in an interactive sandbox environment with generative agents

Languages

The library is available on PyPi via pip install westworld
Javascript version (being developed)

Current features

Easy creation of Grid and non-grid environments
Objects (Agents, Obstacles, Collectibles, Triggers)
Subclassing of different objects to create custom objects
Spawner to generate objects randomly in the environment
Basic rigid body system for all objects
Simple agent behaviors (pathfinding, wandering, random walk, fleeing, vision range)
Automatic maze generation
Layer integration to convert image to obstacle and snap it to a grid
Sample simulations and sample agents for classic simulations
Simulation visualization, replay and export (gif or video)