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Aurora Agents Core
LangGraph
LangChain
FastAPI
Python
gRPC
Qdrant
Prometheus

Aurora Agents Core

AI Agents Microservice with 50+ specialized agents for language learning, featuring REST/gRPC APIs and hybrid LLM support.

February 4, 2026
Ongoing
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Overview

Aurora Agents Core is a production-ready AI microservice powering the Aurora ecosystem with 50+ specialized agents for language learning. It provides both REST and gRPC APIs for seamless integration.

Architecture

The system is built on LangGraph for agent orchestration with support for multiple LLM providers (OpenAI, Anthropic, Ollama). Each agent is specialized for specific learning tasks like grammar correction, vocabulary building, and conversation practice.

Key Features

  • Agent Orchestration: LangGraph-based multi-agent coordination
  • Hybrid LLM: Seamless provider switching with fallback support
  • Vector Memory: Qdrant for semantic search and context retrieval
  • Knowledge Graphs: Neo4j for relationship-based learning paths
  • Monitoring: Prometheus metrics and distributed tracing
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