Repository History

4 repositories tagged with multi-agent-systems

Topic: multi-agent-systems
Ruflo: The Agent Meta-Harness for Intelligent AI Swarms

Ruflo: The Agent Meta-Harness for Intelligent AI Swarms

Ruflo, formerly Claude Flow, is an advanced agent meta-harness designed to deploy intelligent multi-player swarms and coordinate autonomous AI workflows. It enhances AI models like Claude Code and Codex with adaptive memory, self-learning intelligence, RAG integration, and robust enterprise security features. This powerful framework enables agents to self-organize, learn from tasks, and securely collaborate across different machines.

Analyzed Aug 11, 2026
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AI-Agents-Projects-Tutorials: Comprehensive Guide to AI Agent Development

AI-Agents-Projects-Tutorials: Comprehensive Guide to AI Agent Development

The AI-Agents-Projects-Tutorials repository offers an extensive collection of code implementations and tutorials for building advanced AI agents. It covers fundamental concepts such as multi-agent systems, memory management, planning, and reasoning loops. This resource is ideal for developers and researchers seeking practical insights into agentic AI development.

Analyzed Jul 28, 2026
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Oh-My-ClaudeCode: Teams-First Multi-Agent Orchestration for Claude Code

Oh-My-ClaudeCode: Teams-First Multi-Agent Orchestration for Claude Code

Oh-My-ClaudeCode is a powerful GitHub repository that provides teams-first multi-agent orchestration for Claude Code, enhancing its capabilities with zero learning curve. It enables developers to build, refactor, and verify code efficiently through intelligent automation and parallel execution. This tool aims to supercharge your Claude Code experience, making complex development tasks simpler and more cost-effective.

Analyzed May 20, 2026
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Company Research Agent: Deep Diligence with Multi-Agent AI and LangGraph

Company Research Agent: Deep Diligence with Multi-Agent AI and LangGraph

The Company Research Agent is an advanced tool designed for in-depth company diligence, leveraging a multi-agent framework built with LangGraph and Tavily. It efficiently gathers, filters, and synthesizes information from various sources. The system utilizes Google's Gemini 2.5 Flash for high-context synthesis and OpenAI's GPT-5.1 for precise formatting, delivering comprehensive research reports.

Analyzed Feb 3, 2026
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