Multi-LLM orchestration plugin for Claude Code — 8 providers (Codex, Gemini, Claude, Perplexity, OpenRouter, Copilot, Qwen, Ollama), 47 commands, 50 skills, Double Diamond workflows
- Updated
Mar 25, 2026 - Shell
Multi-LLM orchestration plugin for Claude Code — 8 providers (Codex, Gemini, Claude, Perplexity, OpenRouter, Copilot, Qwen, Ollama), 47 commands, 50 skills, Double Diamond workflows
Web app for teams of 20+ members. In-built connections to major LLMs via API. Share chats, prompts, and agents in team or private folders. Modern, fully responsive stack (Next.js, Node.js). Deploy your own vibe-coded AI apps, agents, or workflows—or use ready-made solutions from the library.
MVP of an idea using multiple local LLM models to simulate and play D&D
Cognithor - Agent OS: Local-first autonomous agent operating system. 16 LLM providers, 17 channels, 53 MCP tools, 5-tier memory, A2A protocol, knowledge vault, voice, browser automation. Python 3.12+, Apache 2.0.
Open-Source Library for Fully Cooperative Multi-LLM Reinforcement Learning
BMO - Local Ai companion
Recursive agent orchestration with multi-LLM consensus
[ARCHIVED] 已迁移到 MIXIA-Framework repo
Cross-LLM sub-agent orchestration as an Agent Skills. Route tasks to Codex, Claude Code, Cursor, or Gemini from any compatible tool.
鸣弦/MIXIA Framework (formerly persona-vault) — 人与AI协作的团队操作系统
ModelArena: A Competitive Environment for Multi-Agent Training
A visual layer for AI agent orchestration. Independent analysis, structured synthesis. Local or cloud LLMs.
基于 Multi-LLM 协同架构的 PDF 自动化监控转换系统。集成 DeepSeek R1 逻辑推理、Gemini 3 Pro 全局优化,利用 Trae Builder 与 Cline 框架实现端到端 AI 原生开发流。
Multi-layer AI agent system for intelligent infrastructure management. Features AI Terraform code editor with BYOK (Bring Your Own Key), Model Context Protocol (MCP) server with 45+ tools, and self-deploying Kubernetes observability agents. Supports OpenAI, Anthropic, and Azure OpenAI.
Agentic framework for dynamic function calling across latest LLMs (gpt-4o, gemini-2.0-flash, groq modes, and anthropic models). Converts Python functions into provider-specific schemas for autonomous tool use. Features unified API, JSON schema generation, and integrated tool execution handling.
🐙 Meta-AI Orchestrator unifies multiple LLMs with dynamic routing, RAG search, and DAG pipelines for enterprise AI workloads across providers, with observability and QA.
Plug-and-play Human-In-The-Loop integration of agentic workflows
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