LANGGRAPH MULTI-AGENT ORCHESTRATOR

AUTONOMOUSMULTIAGENTORCHESTRATOR

Four specialized AI agents — Supervisor, Research, Analysis, Writer — working as a coordinated pipeline with human oversight and crash-safe persistent memory.

4 AGENTSHITL APPROVEDCRASH-SAFEASYNC WORKERS

SUPERVISOR → RESEARCH → ANALYSIS → WRITER • SUPERVISOR → RESEARCH → ANALYSIS → WRITER • SUPERVISOR → RESEARCH → ANALYSIS → WRITER • SUPERVISOR → RESEARCH → ANALYSIS → WRITER •

01 / THE PROBLEM

ONE AGENT CAN'T DO EVERYTHING.

Single-agent LLMs hallucinate under complexity. They lose context, can't parallelize, and fail silently on multi-step reasoning. You need a team, not a solo act.

SINGLE AGENT AI

02 / HOW IT WORKS

FOUR AGENTS. ONE PIPELINE.

🧠SUPERVISOR

Routes tasks, decides next agent, enforces quality gates.

🔍RESEARCH

Gathers live data, sources evidence, builds a knowledge base.

📊ANALYSIS

Synthesizes findings into structured insights and key takeaways.

✍️WRITER

Drafts the polished final report with citations and formatting.

03 / HUMAN-IN-THE-LOOP

AI PROPOSES. YOU DECIDE.

When confidence thresholds drop or high-stakes decisions surface, the pipeline pauses and escalates. You review, approve, or redirect — then the agents continue.

⛔ STOP —APPROVAL NEEDED

04 / PERSISTENT MEMORY

CRASH. RESUME. REPEAT.

Every agent state is checkpointed to PostgreSQL + Redis. If a worker crashes mid-run, the pipeline resumes from exactly where it left off — no lost work, no re-running from scratch.

💥CRASHED

→

✅RESTORED

BUILT WITH

🕸️LangGraph

🐘PostgreSQL

🔴Redis

🌿Celery

⚡FastAPI

▲Next.js

🦙Ollama