AI Agents

ChemCrow is an open source package for the accurate solution of reasoning-intensive chemical tasks. Built with Langchain, it uses a collection of chemical tools including RDKit, paper-qa, as well as some relevant databases in chemistry, like Pubchem and chem-space.

A Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.

A highly capable, autonomous AI Agent with an easy to use CLI, RESTful/WebSocket API, Pre-built Docker image and a robust suite of integrated tools.

An AI assistant designed to let you interactively query your codebase using natural language.

Bumpgen builds your project to understand what broke when a dependency was bumped.

This was built as a continued iteration on the original BabyAGI code in a lightweight way.

Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)

A mod of BabyElfAGI, in a series of mods w the naming of BabyAGI in alphabetical order.

AI Agents reimaged for engineers

A recommender system simulator with 1,000 LLM-empowered generative agents.

A command line tool that lets you pair program with GPT-3.5/GPT-4, to edit code stored in your local git repository.

BabyBeeAGI: Task Management and Functionality Expansion on top of BabyAGI

A mod of BabyCatAGI, which is a mod of BabyBeeAGI, which is a mod of OG BabyAGI. BabyDeerAGI is at ~350 lines of code.

Fix issues with AI-generated pull requests, powered by ChatGPT

An LLM-powered autonomous agent platform

Nelima is designed for taking actions on your behalf with natural language commands.

Most recent mod of OG BabyAGI. Added Skills class and example tasklists.

A low-code framework designed for the swift creation, testing, and iteration of AI-powered autonomous agents and Cognitive Architectures, compatible with various LLM models.

An open-source library designed for the study of autonomous and communicative agents. 1)AI user agent: give instructions to the AI assistant with the goal of completing the task.

A systematic framework for training language agents, which is inspired by the connectionist learning procedure used for training neural nets.

Assemble, configure, and deploy autonomous AI Agents in your browser.

BeeBot is your personal worker bee, an Autonomous AI Assistant designed to perform a wide range of practical tasks autonomously.

Build your next agent with graphs, monitoring, and replay analytics. Tools to make agents that work. No more black boxes and prompt guessing.

A lightweight library that leverages Language Models (LLMs) to enable natural language interactions, allowing you to source and converse with data.

An autonomous HR agent that can answer user queries using tools

An AI code assistant from Sourcegraph that writes code and answers questions for you by reading your entire codebase and the code graph.

Leading open-source AI code assistant. You can connect any models and any context to build custom autocomplete and chat experiences inside VS Code and JetBrains.

Integrated into Open Interpreter and MemGPT

A fully autonomous, general-purpose AI agent. This project aims to create a standalone artificial intelligence assistant, similar to JARVIS, based on the open-source LLM.

Automata's objective is to evolve into a fully autonomous, self-programming Artificial Intelligence system.

Designed to test what happens when you combine CLI and LLM, which are older computer interfaces than GUI. Based on BabyAGI, and using GPT-4 API. Imagine LLM and CLI having a conversation.

Develop code for or with the user. It can plan, write, debug, and test some projects autonomously.

Cal.ai can book meetings, summarize your week, and find time with others based on natural language.

Find Code. Fast. Understand codebases with GPT-4 and semantic code search

An intelligent assistant serving the entire software development lifecycle, powered by a Multi-Agent Framework, working with DevOps Toolkits, Code&Doc Repo RAG, etc.

Enable Next-Gen Large Language Model Applications.

Adala is an Autonomous Data (Labeling) Agent framework.

Working Towards an Open Source AI Assistant Available To Everyone

The system uses OpenAI and vector databases such as Chroma or Weaviate 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.

Designed to facilitate the deployment of multiple LLM-based agents in various applications. AgentVerse primarily provides two frameworks: task-solving and simulation.