🦾 Take control of your AI agents

Agents and RAG workflows with little to no code

A multi-agent chatroom for AutoGen agents

Agentic Workflows with Generative AI: Building AI Agents using CrewAI.

Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective. Devika aims to be a competitive open-source alternative to Devin by Cognition AI.

Working towards the integration of human-machine in the Cybersecurity workflow.

An open-source agentic workflow by Andrew Ng for machine translation, using LLM-equipped AI agents: Prompting LLM agents to translate from one language to another and refine it

Swarm Agents: An opensource agent orchestration framework built on top of the latest OpenAI Assistants API.

Multi-agent workflows with Llama3: A private on-device multi-agent framework

Implementation of "Building Agentic RAG with LlamaIndex" offered by DeepLearning.AI focusing on developing intelligent research agents using the Retrieval-Augmented Generation (RAG) framework.

Your friendly neighbourhood agentic workflow builder!

VirtuTA is an AI teaching assistant that delivers quick, accurate responses to student queries directly on Piazza. Powered by agentic workflows, Google Gemini, and Langchain, it automates both conceptual and logistical course queries.

A RAG system is just the beginning of harnessing the power of LLM. The next step is creating an intelligent Agent. In Agentic RAG the Agent makes use of available tools, strategies and LLM to generate response in a specialized way. Unlike a simple RAG, an Agent can dynamically choose between tools, routing strategy, etc.

The ChatRoom for powershell agents

lexninetz is an experimental project that employs knowledge graphs and agent-based reflection for natural language translation using multi-lingual language models.