the rent a hal project for AI
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Updated
Aug 12, 2025 - Python
the rent a hal project for AI
A Model Context Protocol server that provides task orchestration capabilities for AI assistants
AgentOrchestrator - Multi-agent development coordination platform. Transform AI assistants into sophisticated project planners that orchestrate teams of specialized agents for complex development workflows.
🚀 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.
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.
SAGE, a modular AI orchestration protocol, enabling intelligent multi-model workflows with confidence-based validation.
🤖 MCP (Model Context Protocol) server implementation for conversation agents with multi-agent orchestration
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.
Hardened Public Release of KAIROS invocation governance framework. Includes invocation terms, ethical compliance clauses, regulatory mapping, and sample outputs. Licensed under CC BY-NC-ND 4.0. License: Do not auto-generate via GitHub. Use hardened License.txt
🤖 Advanced multi-agent orchestration framework built with LangGraph - Coordinate specialized AI agents for autonomous development, research, testing, and documentation workflows with intelligent task routing and real-time collaboration
Production-ready enterprise multi-agent AI orchestration platform with distributed memory architecture, intelligent task routing, semantic search, and comprehensive monitoring using modern software architecture patterns.
AICoreDirector - an enterprise AI governance & Orchestration platform. it unifies all LLM calls, AI components, and traditional ML services behind a single interface. It provides intelligent routing and scheduling, fallback, and integrated management—serving as the enterprise AI capability bus and central hub for production.
Autonomous multi-agent system combining GPT-4 orchestration with Claude Code CLI execution. Transform ideas into code through natural language with real-time tracking, GitHub integration, and intelligent project management.
Augmented Intelligence Framework: Create orchestrated multi-agent AI teams for software development, user research & content creation. Features 45+ specialized agents with structured workflows delivering the full benefits of human-AI collaboration
Build production-grade AI agents visually. An open-source, multi-agent platform with a no-code UI and a modular Python backend.
A structured exploration of Context Engineering: designing, evaluating, and reasoning about modular prompts, semantic inputs, and retrieval-aligned architectures for LLM systems.
🔬 Parallel AI research orchestration tool - Deploy multiple cursor-agent workers simultaneously to conduct comprehensive research with specialized focus areas and intelligent synthesis.
Multi-agent LLM application featuring a simple chatbot, internet search–enabled chatbot, and agentic RAG for document reasoning. Integrates with external tools via Zapier MCP server to showcase orchestration and collaboration across specialized agents.
A beginner-friendly tutorial demonstrating how to build, visualize, and execute multi-step AI workflows using the CrewAI framework. This repo showcases real-world examples like generating random cities, fetching live weather data, and summarizing results using LLMs, leveraging the power of flow orchestration with @start and @listen decorators.
Enterprise LLM Orchestration Platform - Intelligently route requests across multiple AI providers with cost optimisation and real-time monitoring
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