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
🧠⚡ 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.
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.
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.
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
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
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.
A TypeScript library for building and orchestrating AI agents.
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
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