Cortex-R Agentic AI Hybrid Planning
What it is
A reasoning-driven AI agent that plans and executes tasks across multiple Model Context Protocol (MCP) servers. It features hybrid planning modes (conservative vs. exploratory), persistent session memory, and a local RAG pipeline for document retrieval.
The problem it solves
Simplifies the orchestration of multiple tools and provides a structured way to handle complex task planning (parallel/sequential) and long-term memory in agentic workflows.
What you could use it for
- Executing multi-step tasks involving web search, math operations, and document retrieval
- Querying a local repository of documents (PDF, DOCX, MD) using RAG
- Automating complex workflows that require tool calls across multiple disparate MCP servers
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