Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view
Eko (Eko Keeps Operating) - Build Production-ready Agentic Workflow with Natural Language - eko.fellou.ai
The agentic AI platform for enterprise. Built for availability, scalability, and security. Complete end-to-end context engineering and LLM orchestration infrastructure. Run anywhere - local, cloud, or bare metal.
Integrate LLM in any pipeline - fit/predict pattern, JSON driven flows, and built in concurency support.
🇷🇺 Русский перевод книги Антонио Гулли - Agentic Design Patterns: Практическое руководство по созданию интеллектуальных систем
My personal dotfiles: Zsh, Git, VSCode, Cursor, Claude Code, Ghostty, etc.
Claudine, the only AI assistant you will ever need. An AI agent, which is using your machine as a window to external world, therefore perceiving your reality, values and needs, and reasoning how to fulfill them.
Declarative framework to build LLM-based applications
Unofficial Kotlin multiplatform variant of the Anthropic SDK
Orchestrator Kit for Agentic Reasoning - OrKa is a modular AI orchestration system that transforms Large Language Models (LLMs) into composable agents capable of reasoning, fact-checking, and constructing answers with transparent traceability.
Event-driven Agentic AI framework in Go. LLM-agnostic with MCP tool discovery, built-in observability, and production patterns.
Ship 10x faster by running multiple Claude Code sub agents in parallel. GitHub-native orchestration for AI coding agents—no conflicts, no complexity, just pure parallelized productivity.
Symbiont: A Rust-native, zero-trust agent framework with cryptographic audit trails.
Python framework for building agents using claude-code-sdk with programmable tools
Awesome Agentic AI Learning Resource by DevKay is a curated roadmap for mastering Agentic AI—from ML foundations to production-ready agents. Features a 0–12+ month path, hands-on projects, top resources, agent architectures, and tools like LangChain and AutoGen.
This project is a multi-agent customer service chatbot designed for an e-commerce platform. The chatbot employ specialized agents handle distinct tasks to ensure efficient and accurate interactions. The chatbot aims to enhance user experience by streamlining order processing, answering FAQs, and providing personalized recommendations.
A Python package for tracking and analyzing LLM usage across different models and applications. It is primarily designed as a library for integration into development process of LLM-based agentic workflow tooling, providing robust tracking capabilities.
⚡ Streamline AI development with a multi-agent framework that integrates 80+ prompt engineering techniques for effective team coordination and automation.
An Open Core scaffold for building powerful, production-ready agentic systems with LangGraph.
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