Coordinate and manage complex AI-driven software development workflows using a multi-agent architecture. Analyze, design, debug, and improve code projects with intelligent agents leveraging a unified
a KTOR server/ MCP server written in Kotlin applying multi-agents schools in a flexible research system to be used with coding or for research any general case.
A framework for creating multi-agent systems using MCP for coordinated AI collaboration, featuring task management, shared context, and RAG capabilities.
AI-native task management system for Claude agents. Hierarchical tasks, dependencies, sprints, acceptance criteria, multi-agent coordination, and MCP server integration.
**Build n8n workflows from text using AI** - Built by [FlowEngine](https://flowengine.cloud)
AI Agents framework with 64+ built-in tools for search, memory, workflows, code execution, and file operations. Turn any AI assistant into a multi-agent system with MCP.
Making enterprise AI infrastructure universally accessible. Edge-first platform unifying 12 providers and 100+ models with multi-agent orchestration, HITL workflows, guardrails middleware, and context
Build, validate, and deploy multi-agent AI solutions on the ADAS platform. Design skills with tools, manage solution lifecycle, and connect from any AI environment via stdio or HTTP.
Multi-agent AI consultation framework for Claude Code. Three MCP servers wrapping CLI tools (Codex, Gemini, Qwen) for parallel code review and problem-solving with fallback chains and error detection.
A Smithery MCP for searching academic conferences and events from WikiCFP.
Transform Your AI Assistant into a True Business Automation Platform Athenic is the only MCP server that lets ChatGPT, Claude, and other AI assistants actually do the work — autonomously running co
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Authorization and governance infrastructure for AI agents. 17 MCP tools for token authorization, intent proof, contract management, action evaluation, and audit logging. **Key Features:** - Token-bas
RemoteAgent MCP Server is a lightweight, containerized runtime designed to bridge Model Context Protocol (MCP) with modern AI platforms. It enables developers to connect large language models (LLMs) l
AI Constraint Engine with AI Patch Firewall. 42 MCP tools. Patch Gateway (ALLOW/WARN/BLOCK verdicts), diff-native review (10 scored signals, hard escalation rules), Spec Compiler, Code Graph, Typed co