Repository History
7 repositories tagged with Agents
AgentEvals: Robust Evaluation Tools for LLM Agent Trajectories
AgentEvals is a powerful open-source package from LangChain designed to simplify the evaluation of agentic applications. It provides a collection of ready-made evaluators and utilities, with a particular focus on analyzing agent trajectories, the intermediate steps an agent takes to solve problems. This helps developers understand and improve the reliability and performance of their LLM agents.
Cabinet: An AI-First Knowledge Base and Startup OS
Cabinet is an AI-first knowledge base and startup OS designed to keep your data local and private. It allows you to build a custom AI team with agents that remember context, manage tasks, and automate workflows. This self-hosted solution ensures your information remains under your control, without vendor lock-in.
AI Engineering from Scratch: A Comprehensive Hands-On AI Curriculum
The "AI Engineering from Scratch" repository provides a free, MIT-licensed curriculum for mastering AI engineering from foundational math to advanced agent systems. It emphasizes a hands-on approach, guiding learners to build every algorithm from scratch before utilizing frameworks. With 435 lessons across 20 phases, this project equips students with the practical skills needed to professionally build and deploy AI solutions.
Multica: The Open-Source Platform for Managed AI Coding Agents
Multica is an open-source platform designed to integrate AI coding agents as full-fledged teammates. It allows users to assign tasks, track progress, and leverage reusable skills, transforming how human and AI teams collaborate on software development. This platform aims to enhance team productivity by enabling autonomous task execution and skill compounding.
AgentStack: The Fastest Way to Build Robust AI Agents
AgentStack is a powerful command-line tool designed to simplify the development of AI agents. It provides a scaffold for agent projects, offering CLI utilities for code generation and managing various LLMs, frameworks, and tools. This project aims to make building robust AI agents accessible and efficient for developers.
GenAIScript: Automatable GenAI Scripting with TypeScript/JavaScript
GenAIScript is an open-source project from Microsoft that enables programmatic assembly of prompts for Large Language Models (LLMs) using JavaScript and TypeScript. It allows developers to orchestrate LLMs, tools, and data directly in code, streamlining the development of GenAI applications. This framework offers seamless Visual Studio Code integration and a flexible command-line interface for efficient GenAI scripting.
VideoSDK AI Agents: Build Real-time Multimodal Conversational AI
VideoSDK AI Agents is an open-source Python framework designed for developing real-time, multimodal conversational AI agents. It enables seamless, natural voice and media interactions between users and intelligent agents within VideoSDK rooms. This powerful framework supports integration with various AI models and tools, facilitating advanced conversational experiences.