Skip to content

Latest commit

 

History

6 Commits

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Enterprise Multi-Agent Operations Assistant

Overview

Enterprise Multi-Agent Operations Assistant is an AI-powered operational intelligence platform that demonstrates how multiple specialized AI agents collaborate using a shared workflow state to analyze incidents, determine severity, perform root cause analysis, retrieve historical incidents, and generate operational recommendations.

The project showcases multi-agent orchestration, agent-to-agent communication, semantic retrieval, executive summarization, and AI-assisted operational decision support.


Key Features

  • Multi-Agent Orchestration
  • Shared Workflow State
  • Agent-to-Agent Communication
  • Incident Classification
  • Escalation Management
  • Severity Assessment
  • Notification Routing
  • Root Cause Analysis (RCA)
  • Executive Summary Generation
  • Historical Incident Retrieval
  • AI-Assisted Recommendations
  • Workflow Traceability
  • Streamlit Dashboard

Architecture

Enterprise Multi-Agent Architecture


Implemented Agents

Orchestrator Agent

Coordinates workflow execution and shared state management.

Classification Agent

Determines incident category.

Escalation Agent

Determines escalation path.

Severity Agent

Assigns incident severity.

Notification Agent

Determines notification actions.

RCA Agent

Generates likely root cause analysis.

Summary Agent

Creates executive operational summaries.

Incident Analysis Agent

Produces consolidated incident assessment.

Retrieval Agent

Retrieves similar historical incidents using semantic search.

Recommendation Agent

Generates AI-assisted recommendations.


Technology Stack

  • Python
  • Streamlit
  • Ollama
  • Llama Models
  • ChromaDB
  • Vector Embeddings

Sample Capabilities

  • Performance incident analysis
  • Availability incident analysis
  • Security incident analysis
  • Operational recommendations
  • Historical incident matching
  • Executive operational summaries
  • Workflow execution trace visualization

Screenshots

Incident Dashboard

Operational incident intake interface for submitting production issues into the multi-agent workflow.

Incident Dashboard

Agent Workflow

Multi-agent workflow showing how the incident moves through specialized agents.

Agent Workflow

Executive Summary

AI-generated operational summary with classification, severity, escalation, and root-cause analysis.

Executive Summary

Workflow Execution Trace

Agent-by-agent execution trace showing orchestration transparency.

Workflow Trace

Historical Incident Retrieval

Semantic retrieval of similar historical incidents using ChromaDB.

Historical Retrieval

AI Recommendations

LLM-assisted recommendations, remediation actions, and risk assessment.

AI Recommendations

Coordinated Multi-Agent Response

Final consolidated operational response produced by the coordinated agent workflow.

Coordinated Response


Project Status

Status: Advanced AI MVP Complete ✅

Completion: ~97%


Outcome

Enterprise-style multi-agent operational intelligence platform demonstrating orchestration, retrieval, reasoning, root cause analysis, executive summarization, workflow traceability, and AI-assisted operational decision support.

About

Enterprise Multi-Agent AI platform for operational intelligence, incident analysis, root cause investigation, semantic retrieval, and AI-assisted operational decision support.

Topics

Resources

Stars

1 star

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages