OpenTelemetry Instrumentation for AI Observability
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Updated
Dec 31, 2025 - Python
OpenTelemetry Instrumentation for AI Observability
Unlock 650+ MCP servers tools in your favorite agentic framework.
A framework for agentic tool use training with reinforcement learning
pebkac Chrome Nonautomation - A Local LLM-Driven Web Co-Browser using Smolagents, Zendriver, Trafilatura.
A FastAPI extension for integrating common AI agent frameworks.
The Most Powerful Open-Source Autonomous SQL Agents - RAG, NL2SQL
A collection of awesome web2 and web3 AI agents and workflows using OpenAI compatible LLMs.
An example repository to use HuggingFace smolagents, Phidata and CrewAI frameworks with local LLMs
Tiny Agent: Production-Ready LLM Agent SDK for Every Developer
💀 gigasmol: a lightweight wrapper for gigachat api model for seamless use with smolagents.
Pizzly, financial market analysis combining technical indicators with LLMs, featuring real-time data processing and AI-powered market insights ⚡️
A framework to orchestrate multiple AI agents, enabling them to collaborate efficiently through smart threading, dependency management, context sharing, and distributed execution via a built-in swarm system. Built on top of smolagents, it allows the creation of an AI dream team that can scale to tackle complex tasks.
A sophisticated system that uses multiple AI agents to research, create, and polish video scripts for social media platforms. The system employs specialized agents for research, script writing, polishing, and evaluation to ensure high-quality, engaging content.
Realtor Agent: AI-powered tool for property analysis, running comparables, and assisting with contract document finalization in real estate transactions.
Smolagents with gradio UI and dynamic tools support.
SmolAgentWithMCP enables developers to build powerful AI agents that integrate multiple MCP tool servers, like Brave Search, with LLMs for enhanced, real-time question-answering and tool orchestration.
An AI-powered platform that uses an agentic workflow to automatically generate Project Requirement Documents (PRDs).
A comprehensive demonstration of Model Context Protocol (MCP) servers and clients, showcasing AI-powered tools and multi-agent systems for code analysis, security scanning, and intelligent automation.
An Agentic AI Research Playground for building AI Agents and Mult-Agent systems leveraging open-source models, libraries, and frameworks. Models used to run agents locally on Nvidia RTX A2000 GPU - 8GB VRAM include the quantized Ollama models: llama3.1:8b-instruct-q8_0, llama3.1:8b_q8_0, qwen2.5:7b-instruct-q8_0, and qwen2.5-coder:7b-instruct-q8_0.
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