LangGraphIntermediate⏱ ~25 minutes

Social Media Manager Agent

Run your entire social media operation on autopilot with AI-generated, on-brand content

★ 4.4(41 reviews)•Sales & Marketing

Preview Code ↓

$99$198

✓ Full source code & documentation
✓ Commercial license included
✓ 30-day email support
✓ Free updates for 1 year

What You Get

Everything included in this template package

💻

Working Agent Code

4 LangGraph agents for ideation, creation, scheduling, and analytics

⚙️

Configuration File

Brand voice settings, platform configs, and scheduling rules

💬

Prompt Templates

12 prompts across all major social platforms

📖

Setup Guide

API setup guide for Twitter, LinkedIn, and Instagram

↔️

Example I/O

Sample content briefs with generated posts for each platform

📐

Architecture Diagram

Social media pipeline flow diagram

😤

The Problem

Managing social media across 4+ platforms eats 15-20 hours per week. You're constantly context-switching between tools, struggling to stay consistent, and your best content ideas get lost because you didn't post at the right time.

✨

The Solution

This agent system monitors trends, generates platform-native content in your brand voice, finds optimal posting times, and automatically schedules everything. You review and approve — the agents handle the rest.

How It Works

Your AI crew handles the entire workflow

Input

Your task description, data, or trigger event

→

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AI Agents

Trend MonitorTracks trending topics and identifies content opportunities

Content CreatorGenerates platform-native posts in your brand voice

Schedule OptimizerFinds optimal posting times based on audience engagement data

Analytics TrackerMonitors post performance and feeds insights back to strategy

→

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Output

Structured results, reports, and actionable insights

Code Preview

Sample of the LangGraph agent setup

Preview only

crew.py

from langgraph.graph import StateGraph, END
from agents import TrendMonitor, ContentCreator
from agents import ScheduleOptimizer

def build_social_graph():
    workflow = StateGraph(SocialState)

    workflow.add_node("monitor", TrendMonitor())
    workflow.add_node("create", ContentCreator())
    workflow.add_node("schedule", ScheduleOptimizer())
    workflow.add_node("analyze", AnalyticsTracker())

    workflow.add_edge("monitor", "create")
    workflow.add_edge("create", "schedule")
    workflow.add_edge("schedule", "analyze")
    workflow.add_conditional_edges(
        "analyze",
        should_continue,
        {"continue": "monitor", "end": END}
    )

    workflow.set_entry_point("monitor")
    return workflow.compile()

Example Input & Output

See what goes in and what comes out

Input

Brand: AI Agent Tools
Platforms: Twitter, LinkedIn
Tone: Professional but approachable
Topic focus: AI automation for business
Posting frequency: 2x/day Twitter, 1x/day LinkedIn

Output

📱 Generated Content Calendar (Week 1):

Monday 9:00 AM — Twitter:
"Most businesses automate the wrong things first. Start with the process that costs you the most TIME, not money. Here's why 🧵"

Monday 11:30 AM — LinkedIn:
"I analyzed 50 AI automation case studies. The #1 predictor of ROI wasn't the tool — it was the process selection. Here's the framework..."

Monday 2:00 PM — Twitter:
"Hot take: You don't need an AI strategy. You need a process strategy that happens to use AI. The tool is never the competitive advantage."