A Plan-Validate-Solve Agent for accurate, reliable workflow automation across multiple tools.
A Python framework to build LLM-powered apps with multi-agent programming.
JARVIS connects LLMs with the ML community to solve complex AI tasks using collaborative expert models.
A platform for designing and deploying autonomous GPT-4 powered agents for task automation.
An LLM-based agent for deep web and local research, generating detailed reports with citations.
A self-modifying framework for AI-driven software development from the future.
An all-in-one library for creating LLM Agents with tools, prompts, frameworks, and models.
An AI-driven framework for end-to-end scientific research from data to verifiable papers.
A Python framework for orchestrating autonomous AI agents to tackle complex tasks collaboratively.
ChemCrow is an open-source package for solving complex chemical reasoning tasks with AI.
CAMEL is an open-source multi-agent framework for studying scaling laws of agents.
A Python library using LLMs for conversational data discovery and analysis.