Autogen Collection

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🔮Psychic

★★★★★

“Python tool for converting files and office documents to Markdown.”

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📦Normal

★★★★

“12 Lessons to Get Started Building AI Agents”

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🔮Psychic

★★★★

“A programming framework for agentic AI”

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💎Aqua

★★★★

“🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23 ”

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🔮Psychic

★★★

“An experimental agent that works across the browser and local file system”

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🔮Psychic

★★★

“Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI”

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📦Normal

★★

“A compilation of the best multi-agent papers”

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🔮Psychic

★★

“AutoGroq is a groundbreaking tool that revolutionizes the way users interact with Autogen™ and other AI assistants. By dynamically generating tailored teams of AI agents based on your project requirements, AutoGroq eliminates the need for manual configuration and allows you to tackle any question, problem, or project with ease and efficiency.”

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🔮Psychic

★★

“This repository will have different projects using AutoGen and Tutorials”

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🔮Psychic

★★

“Hercules is the world’s first open-source testing agent, enabling UI, API, Security, Accessibility, and Visual validations – all without code or maintenance. Automate testing effortlessly and let Hercules handle the heavy lifting! ⚡”

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💎Aqua

★★

“Web UI for AutoGen (A Framework Multi-Agent LLM Applications)”

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📦Normal

★★

“Labs to explore AI Models, MCP servers, and Agents with the AI Gateway powered by Azure API Management and Microsoft Foundry 🚀”

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💎Aqua

★★

“Agent Cloud is like having your own GPT builder with a bunch extra goodies. The GUI features 1) RAG pipeline which can natively embed 260+ datasources 2) Create Conversational apps (like GPTs) 3) Create Multi Agent process automation apps (crewai) 4) Tools 5) Teams+user permissions. Get started fast with Docker and our install.sh”

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🔮Psychic

★★

“Building LLM-Enabled Multi Agent Applications from Scratch”

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🔮Psychic

★★

“The fastest way to bring multi-agent workflows to production.”

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🔮Psychic

★★

“A Framework for LLM-based Multi-Agent Reinforced Training and Inference”

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🔮Psychic

★★

“🚀Lightweight Large language model automation and Autonomous Language Agents development framework. Build your LLM Agent Application in a pythonic way!”

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⚡Electric

★★

“This module performs automatic construction of Swagger documentation. It can identify the endpoints and automatically capture methods such as get, post, put, and so on. It also identifies paths, routes, middlewares, response status codes and parameters. At the end, it generates the .json file containing the Swagger format specification.”