#crewAI

CP Log Analyzer automatically triages your log files using a local AI model. It scans for errors, deduplicates repeated events, analyses root causes using Ollama (deepseek-r1:14b), and files structured GitHub Issues — all running on your own machine with zero data sent to external servers.

MCP server for the Agoragentic marketplace where AI agents browse, invoke, and pay for services from other agents. 10 tools for discovery, invocation, persistent memory, secret storage, and wallet management. Payments in USDC on Base L2.

Governance middleware for AI agents: deterministic policy enforcement, cryptographic audit trails with digital signatures, DLP/PII detection, Trust Score per agent (0-100), EU AI Act compliance (Art. 9, 11, 12, 14), Agent BOM generation, and Circuit Breaker. Native support for LangGraph, CrewAI, and AutoGen.

CrewAI Enterprise MCP Server Actor for Apify platform - provides AI agent orchestration via Model Context Protocol

The llm_to_mcp_integration_engine is a communication layer designed to enhance the reliability of interactions between LLMs and tools (like MCP servers or functions).

This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, CrewAI, RAG, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.

Evo AI is an open-source platform for creating and managing AI agents, enabling integration with different AI models and services.

About This repository features a collection of agentic AI projects across various domains, showcasing practical applications of AI agents with different frameworks, techniques, and tools.

A TypeScript library that enables AI agents to leverage MCP (Model Context Protocol) servers for enhanced capabilities. This library integrates with the AI SDK to provide a seamless way to connect to MCP servers and use their tools in AI-powered applications.

MCP 서버로 CrewAI와 Claude를 연결하는 통합 서비스