multi-agent-systems

KEA Research - Multi-AI collaboration platform that combines responses from multiple AI models, cross-validates information, and delivers verified, consensus-backed answers.

Documentation for the Strands Agents SDK. A model-driven approach to building AI agents in just a few lines of code.

Your personal AI assistant powered by multiple AI agents. Connects to WhatsApp, Slack, or Telegram to manage your emails, schedule, to-dos, messages, and daily research.

This GitHub repository contains the complete code for building Business-Ready Generative AI Systems (GenAISys) from scratch. It guides you through architecting and implementing advanced AI controllers, intelligent agents, and dynamic RAG frameworks. The projects demonstrate practical applications across various domains.

A scalable RAG platform combining LangGraph agents, hybrid retrieval (Vector+Graph), and Ray orchestration on Kubernetes.

Agentic AI research papers, benchmarks, frameworks, and tools curated across 24 domains.

Neuro AI System of Agent Networks

Agentic RAG, Multi-Agent Systems, and Vision Reasoning are three pipelines to find the perfect LLM

Context Engineering: Build Consistent, Accurate, Predictable AI Systems

An Execution Isolation Architecture for LLM-Based Agentic Systems

Historical multi-model Backrooms experiment with configurable conversation templates and example transcripts.

AgC is the open-core platform that powers Open Agentic Compute — a new compute substrate purpose-built for deploying, running, and orchestrating AI agents at scale.

Engineering deterministic, production-grade systems around non-deterministic LLMs — FSM, durable execution, retries, DAGs, agent runtimes, model routing, edge inference, RAG, memory, multi-agent orchestration, security, and observability. 14 runnable proof-of-concept phases.

A multi-agent system designed for generating music videos with scrolling subtitles based on lyrics. This project analyzes the lyrics and creates detailed prompts based on the analysis results to generate story-like images, ultimately producing an image-to-image music video, using openai API, gpt-4o and dall-e 3 models.

Deep Research through Multi-Agents, using GraphRAG

Code repository for "Building Agentic AI" by Sinan Ozdemir. Practical examples, experiments, and implementations covering LLMs, embeddings, agents, RAG, fine-tuning, and optimization.

Agentic AI ex-US equity evaluator (LangGraph+Gemini)

AI-ML Companion: an interactive platform to learn AI & ML by watching it work - 22 tracks, 300+ modules, live visualizations - plus 10 end-to-end portfolio projects from classical ML to production LLM & multi-agent systems.

Markdown that steers an LLM is code. Genesis is the architectural layer for designing multi-agent, multi-skill systems -- with named patterns, contracts, and substrate portability, before you write them.

A multi-agent system trained with GRPO for reliable long-horizon task planning and execution.