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LangChain Social Media Agent

LangChain Social Media Agent AI Agent
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Category:Marketing AI Agents

Overview

Open-source agent that drafts, reviews, and schedules social posts from URL content with human-in-the-loop.

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Best For Professions:

content creatorsmarketing teamsautomation engineers

LangChain Social Media Agent is an open-source AI agent built on LangGraph that takes a URL, generates Twitter and LinkedIn posts, and uses a human-in-the-loop approval flow. It supports content parsing, posting cadence (via cron jobs), Slack-triggered ingestion, and optional image handling. Users can audit and edit drafts before publishing, ensuring quality control and automation.

AI Agent Store research

What the evidence says about LangChain Social Media Agent

LangChain's Social Media Agent is an open-source reference application, not a hosted product. It turns a supplied URL into draft X and LinkedIn posts, supports human review and approval, and can schedule accepted content through a LangGraph-based workflow.

Last reviewed August 18, 2026

Verified capabilities

  • URL-to-post generation

    The agent analyzes a supplied URL and drafts content for X and LinkedIn using configurable business context, structure, and style prompts.[1]

  • Human-in-the-loop publishing

    Users can change, accept, or reject generated posts before the workflow schedules them through authenticated social integrations.[1]

  • Scheduled ingestion workflow

    The full setup can ingest submitted links from Slack and run scheduled jobs that generate content and send status updates.[1]

Where it fits best

  • Developers building an internal URL-to-social-post workflow with explicit human approval before publishing.[1]

Buying and deployment notes

The repository is MIT-licensed and free to self-host. Running it requires separately supplied services such as an LLM, LangGraph or LangSmith, web scraping, social authentication, and optionally Supabase and Slack, which may add usage costs.[1]

Platforms: Self-hosted LangGraph server, X, LinkedIn, Slack, Agent Inbox[1]

Deployment: Local development server, Custom self-hosted deployment[1]

Important considerations
  • The quickstart depends on third-party model, scraping, authentication, and LangGraph services; the repository itself does not provide those services or their usage costs.[1]
  • Basic setup omits parsing GitHub, X, and YouTube URLs, Slack ingestion and notifications, and image selection and uploads.[1]
  • Default prompts and examples are tailored to LangChain and AI-focused content, so adopters must replace business context, examples, structure, and content rules for their own brand.[1]
Sources and research method (1)

We record only claims tied to public sources checked by our team or listing workflow. Counts above are derived directly from this profile, not a subjective rating.

  1. langchain-ai/social-media-agent | GitHubGitHub · checked 2026-08-18

Autonomy level

43%

Reasoning: The LangChain Social Media Agent demonstrates moderate-low autonomy due to its deliberate human-in-the-loop (HITL) design architecture. While the agent can autonomously perform several technical tasks including URL content extraction, post generation for Twitter and LinkedIn platforms, and content analysis using multiple AI models (Anthropic API, G...

Comparisons

Custom Comparisons

Some of the use cases of LangChain Social Media Agent:

  • Generating draft social posts from article URLs or content links.
  • Curating and scheduling content across Twitter and LinkedIn with review workflow.
  • Setting up automated pipelines via Slack ingestion or cron jobs.
  • Ensuring quality control through human-in-the-loop approval before publishing.

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Pricing model:

free

Code access:

open-source

Popularity level: 66%

Industries:

MarketingSocial MediaContent Automation

Tags:

URL content parsinghuman-in-the-loopsocial postingTwitter integrationLinkedIn integrationcron automation

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