Claude MCP Server - Intelligent Prompt Engineering & Management
the rent a hal project for AI
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.
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.
🧠⚡ 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.
Lets you build smart, AI workflows with a visual interface. Open-source, extensible, and powered by GPT. Perfect for automating content, processes, and integrations.
🚀 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.
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
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.
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.
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.
A TypeScript library for building and orchestrating AI workers.
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
Add a description, image, and links to the ai-orchestration topic page so that developers can more easily learn about it.
To associate your repository with the ai-orchestration topic, visit your repo's landing page and select "manage topics."