A secure and open protocol for decentralized agent-to-agent communication. Built for speed, scale, extensibility and the AI-native internet. 🐧🚀✨

TME: Structured memory engine for LLM agents to plan, rollback, and reason across multi-step tasks.

A curated list of awesome tools, frameworks, platforms, and resources for building scalable and efficient AI infrastructure, including distributed training, model serving, MLOps, and deployment.

UniRobot is an embodied intelligent software framework that integrates the robot brain (data, models, model training) with the robot body (perception, model inference, control).

Rent ready-to-use cloud GPUs in seconds. Lium CLI makes it easy to launch, manage, and scale GPU compute directly from your terminal. Fast, cost-optimized, and built for AI & ML developers.

This repository contains a scalable and modular pipeline for ingesting large-scale datasets into vector databases to power Retrieval-Augmented Generation (RAG) applications.

A complete production-ready MLOps framework with built-in distributed training, monitoring, and CI/CD. Deploy ML models to production with confidence using our battle-tested infrastructure.

Comprehensive machine learning benchmarking framework for AMD MI300X GPUs on Dell PowerEdge XE9680 hardware. Supports both inference (vLLM) and training workloads with containerized test suites, hardware monitoring, and analysis tools for performance, power efficiency, and scalability research across the complete ML pipeline.

🧵 ThreadNavigatorAI 2.0 Multi-agent Reddit thread analyzer with semantic summarization, tool-augmented fact-checking, and LLM-as-a-Judge rubric evaluation. 🔧 Configurable via config.yaml 🧠 Agent stack with OpenRouter LLMs 🖼️ Polished Streamlit UI (tabbed, latency-aware) 🌐 Deployed on Hugging Face Spaces (free-tier)

Experimental GenAI workflows and prompt chains — RSS summaries, sentiment tagging, and score enrichment demos. Not affiliated with Nadis Intelligence’s proprietary products.