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Multi-Agent Orchestration for Claude Code
Teams-first Multi-agent orchestration for Claude Code
SwarmWright: Structured Multi-Agent AI in Markdown
Swarmwright: Structured Multi Agent AI Introduction Swarmwright is an innovative framework for developing structured multi agent AI systems. It enabling the cre…
Hollow: Local Multi-Agent OS for Tool Creation
Hollow: Local Multi Agent OS for Crafting Intelligent Tools Hollow is a pioneering local multi agent operating system designed for the seamless creation and int…
AdamsReview: Enhanced Multi-Agent PR Reviews for Claude Code
AdamsReview: Enhanced Multi Agent PR Reviews for Claude Code AdamsReview offers a sophisticated platform designed to facilitate thorough and comprehensive code …
Ruvnet Ruflo: Claude's Leading Agent Orchestration Platform
🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, distributed swarm intelligence, RAG integration, and native Claude Code / Codex Integration
Explore Agentic AI with Free Interactive Curriculum on AgentSwarms
Hey Everyone, Over the last few months, I noticed a massive gap in how we learn about Agentic AI. There are a million theoretical blog posts and dense whitepapers on RAG, tool calling, and swarms, but almost nowhere to just sit down, run an agent, break it, and see how the prompt and tools interact under the hood. So, I built **AgentSwarms**.fyi It’s a free, interactive curriculum for Agentic AI. Instead of just reading, you run live agents alongside the lessons. **What it covers:** * Prompt engineering & system messages (seeing how temperature and persona change behavior). * RAG (Retrieval-Augmented Generation) vs. Fine-tuning. * Tool / Function Calling (OpenAI schemas, MCP servers). * Guardrails & HITL (Human-in-the-Loop) for safe deployments. * Multi-Agent Swarms (orchestrators vs. peer-to-peer handoffs). **The Tech/Setup:** You don't need to install anything or provide API keys to start. The "Learn Mode" is completely free and sandboxed. If you want to mess around with your own models, there's a "Build Mode" where you can plug in your own keys (OpenAI, Anthropic, Gemini, local models, etc.). I’d love for this community to tear it apart. What agent patterns am I missing? Is the observability dashboard actually useful for debugging your traces? Let me know what you think.
TauricResearch TradingAgents: Multi-Agent LLM Financial Trading
TradingAgents: Multi-Agents LLM Financial Trading Framework