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ai-orchestration

Here are 26 public repositories matching this topic...

🚀 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.

  • Updated Feb 1, 2025
  • Python

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.

  • Updated Oct 9, 2025
  • Python

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

  • Updated Jul 10, 2025
  • Python

🤖 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

  • Updated Aug 4, 2025
  • Python

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.

  • Updated Sep 24, 2025
  • Python

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.

  • Updated Oct 21, 2025
  • Python

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

  • Updated Sep 21, 2025
  • Python

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.

  • Updated Jul 3, 2025
  • Python

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