Claude MCP Server - Intelligent Prompt Engineering & Management

Synapse: Elixir-powered AI agent orchestration, built on the battle-tested principles of Erlang/OTP. Seamlessly integrate and manage Python's pydantic-ai agents with the BEAM's concurrency, fault tolerance, and distributed might. Finally, a GenServer for your LLM.

the rent a hal project for AI

A Model Context Protocol server that provides task orchestration capabilities for AI assistants

🧠⚡ Revolutionary distributed AI agent orchestration system that transforms GPT-5-Codex into collective intelligence networks. Features neural mesh networking, swarm intelligence algorithms (PSO/ACO/Flocking), Byzantine fault-tolerant consensus, and GPU-accelerated computations. Enables autonomous agent collaboration.

AgentOrchestrator - Multi-agent development coordination platform. Transform AI assistants into sophisticated project planners that orchestrate teams of specialized agents for complex development workflows.

Intelligent routing automatically selects the optimal model (GPT-4/Claude/Llama) for each prompt based on complexity. Production-ready with streaming, caching, and A/B testing.

Lets you build smart, AI workflows with a visual interface. Open-source, extensible, and powered by GPT. Perfect for automating content, processes, and integrations.

Meridian - A graph-powered AI chat application integrating intelligent parallelization for advanced, aggregated conversational experiences. Nuxt3 & Python.

A revolutionary, multi-component research automation platform that combines advanced AI agent orchestration, cross-platform desktop applications, containerized deployments, and enterprise-grade intelligence capabilities. Features complete BMAD AI Agent integration, distributed computing, real-time collaboration, and autonomous research capabilities

🚀 Build AI Agent Teams as Production-Ready APIs. Orchestrate CrewAI agents with FastAPI for enterprise-grade AI services. Leverage Groq's lightning-fast LLMs to deploy collaborative AI workflows at scale.

Fully agentic LLM orchestrator with autonomous decision-making. This agentic system self-discovers models, learns from usage, and adapts routing strategies. Save 67% on API costs through intelligent agentic behavior. Production-ready with monitoring and self-healing.

SAGE, a modular AI orchestration protocol, enabling intelligent multi-model workflows with confidence-based validation.

Claude Code + Gemini AI collaboration orchestration tools

AI Rule-Constricted Orchestrated System

Agentic AI refers to AI systems capable of autonomous decision-making, planning, and executing tasks based on goals—acting like intelligent agents. These systems combine LLMs with tools, memory, and feedback loops to complete complex workflows with minimal human input.

RAPTOR (Rapid AI-Powered Text and Object Recognition) is an AI-native Content Insight Engine that transforms passive media storage into an intelligent knowledge platform through automated analysis, semantic search, and actionable insights. RAPTOR reducing manual tagging by 85% and making content discovery 10x faster.

Kubernetes operator for declarative AI workflows. Model pipelines as CRDs (Stories, Engrams, Impulses) with real‑time streaming and batch execution.

🤖 MCP (Model Context Protocol) server implementation for conversation agents with multi-agent orchestration

A research platform for multi-agent LLM systems with sandboxed execution, advanced memory management, and safety guardrails. Built for studying agent coordination, long-term coherence, and safe code execution.