Browsing: Orchestration

In this tutorial, we build an advanced, production-ready agentic system using SmolAgents and demonstrate how modern, lightweight AI agents can reason, execute code, dynamically manage tools,…

The evolution of artificial intelligence from stateless models to autonomous, goal-driven agents depends heavily on advanced memory architectures. While Large Language Models (LLMs) possess strong reasoning…

SWARM_TOOLS = [ { “type”: “function”, “function”: { “name”: “task_update”, “description”: “Update the status of a task. Use ‘in_progress’ when starting, ‘completed’ when done.”, “parameters”: {…

Image by Author   # Introduction  AI agents help build autonomous systems that can plan, use tools, and collaborate to solve complex problems. But building reliable multi-agent…

Claude Flow is an open-source orchestration framework designed to run multiple Claude agents in coordinated workflows. Instead of relying on a single LLM prompt chain, it…

Image by Author   # Introduction  For the past two years, the AI industry has been locked in a race to build ever-larger language models. GPT-4, Claude,…

I have spent the last several years watching enterprise collaboration tools get smarter. Join a video call today, and there’s a good chance five or six…

Our work with large enterprise customers and Amazon teams has revealed that high stakes use cases continue to benefit significantly from advanced large language model (LLM)…

In this tutorial, we build an end-to-end, production-style agentic workflow using GraphBit that demonstrates how graph-structured execution, tool calling, and optional LLM-driven agents can coexist in…