LangChain Social Media Agent
Overview
Open-source agent that drafts, reviews, and schedules social posts from URL content with human-in-the-loop.
Best For Professions:
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.
Product overview
Capabilities, pricing and fit
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.
Information as of August 18, 2026
What it can do
- 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]
Pricing and availability
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]
Access: 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 (1)
- langchain-ai/social-media-agent | GitHubGitHub · checked 2026-08-18
Autonomy level
43/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
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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Popularity level: 66%
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