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OpenRouter Agents

Orchestrates research using Claude and Perplexity/GPT/Gemini models via OpenRouter.

About

The OpenRouter Agents server orchestrates AI-powered research by implementing a Model Context Protocol (MCP) server for OpenRouter. It allows conversational LLMs to delegate research to a Claude research orchestrator, which uses specialized agents powered by various OpenRouter models. It features multi-agent orchestration, vector embedding database, round-robin load balancing, and an adaptive fallback system for comprehensive and reliable research.

Key Features

  • Vector embedding database for semantic knowledge storage.
  • Cross-model resilience and dynamic caching for improved reliability.
  • Round-robin load balancing for optimal model usage.
  • 1 GitHub stars
  • Multi-agent orchestration with planning, research, and context agent roles.
  • Adaptive fallback system for model degradation when primary research fails.

Use Cases

  • Automated research report generation
  • Context-aware refinement of research queries
  • Integration with Cline in VS Code for advanced research capabilities
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