Present

LIVEv2.1.099.9% uptimeEU-WEST-1

AURA Lab

Multi-agent coordination in real time

Interactive lab for exploring AURA's multi-agent orchestration — spawn agents, inspect tool routing, and watch context windows fill in real time.

TypeScriptPython 3.12MCP ProtocolLangGraphNeo4j

Interactive Demo Architecture

Project Statslive

6

Models connected

47

MCP tools available

140ms

Avg latency

2,847

Requests today

Interactive Demo

AURA Lab · v2.1.0live

AURA / Orchestration Runtime

140ms avg47 tools2,847 req/today

Live Dispatch Feed

●Claudeanalyze→code.exec185ms

●Claudeclassify263ms

●GPT-4oretrieve→code.exec250ms

●GPT-4oanalyze→memory.read277ms

Claude

complete

GPT-4o

complete

Gemini

idle

System Architecture

Tech Stack

TypeScriptruntime

Python 3.12runtime

MCP Protocolprotocol

LangGraphml

Neo4jdata

Redisdata

Dockerinfra

Kubernetesinfra

Development Roadmap

Roadmap

●

Router Core

Multi-model routing

MCP tool integration

Basic memory layer

●

Graph Memory

Neo4j persistent memory

Cross-session continuity

Entity resolution

◉

Agent Mesh

A2A protocol support

Sub-agent spawning

Capability discovery

○

Autonomy Layer

Goal-directed execution

Self-healing agents

Continuous learning loop