An open-source AI automation platform with 280+ MCP servers for creating AI workflows and agents.
Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and OpenAI Agents SDK for scalable AI solutions.
Bridge between Ollama and MCP servers, enabling local LLMs to use Model Context Protocol tools.
Agent Framework / shim to use Pydantic with LLMs.
AI video agents framework for next-gen video interactions and workflows.
A MCP server implementation for hyperbrowser providing tools for scraping, extracting data, and crawling webpages.
A Desktop Chat App leveraging MCP to interface with various LLMs, supporting cross-platform compatibility.
Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more.
Python SDK for Agent AI Observability, Monitoring and Evaluation Framework.
A comprehensive library for implementing LLMs with a unified training pipeline and model evaluation.
A guidebook sharing insights and knowledge about evaluating Large Language Models (LLMs).
