Zilfu Agents

$19Starting price
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About Zilfu Agents

Zilfu Agents provides a command-line interface that allows AI agents to automate social media publishing across seven platforms: Instagram, TikTok, LinkedIn, Facebook, Pinterest, Threads and X. The tool accepts structured JSON input and returns structured output, making it compatible with LLMs and automation pipelines. It supports scheduling posts to the minute, publishing immediately, or saving drafts for review, with options for recurring weekly times and batch scheduling. The CLI handles rich media uploads including JPG, PNG, WebP, MP4 and MOV files, and can attach multiple files to a single post. It also enables multi-account campaigns, native thread creation with queued first comments, and per-account customization of post text. Analytics tracking covers totals, engagement rates, audience metrics and best posting times, available per account or per post over any date range. The tool integrates with cron jobs, CI/CD pipelines and systemd timers, and can operate via environment variables for unattended publishing. A hosted MCP server and REST API are available for agents that use different interfaces.

Key features

  • Structured JSON input/output for automation
  • Multi-account scheduling and publishing
  • Native thread creation with queued comments
  • Rich media uploads (JPG, PNG, WebP, MP4, MOV)
  • Analytics and reporting per account or post
  • Hosted MCP server and REST API
  • Cron and CI/CD integration
  • Team approvals and unlimited teammates

Use cases

  • Automating social media campaigns via AI agents
  • Scheduling multi-account posts from a single command
  • Publishing scheduled content in CI/CD pipelines

Pros

  • Structured JSON input/output for AI agent compatibility
  • Supports seven social networks from a single command
  • Multi-account scheduling with per-account text customization
  • Rich media uploads including images and video
  • Analytics and reporting across all plans

Cons

  • Limited to 20 posts per month on the free plan
  • No native mobile or desktop app beyond the CLI
  • Requires Node.js 18.17+ for installation

Frequently asked questions about Zilfu Agents

What is Zilfu Agents and what does it do?

Zilfu Agents is a command-line interface that enables AI agents to automate social media publishing across seven platforms: Instagram, TikTok, LinkedIn, Facebook, Pinterest, Threads and X. It accepts structured JSON input and returns structured output, making it compatible with LLMs and automation pipelines.

Who is Zilfu Agents designed for?

The tool is designed for AI agents, developers, and teams that need to automate social media workflows, such as scheduling posts, managing multi-account campaigns, and analyzing performance. It is particularly useful for those already using LLMs or automation tools like Claude Code, n8n, or CI/CD pipelines.

How does Zilfu Agents handle scheduling and publishing?

Zilfu Agents supports scheduling posts to the minute, publishing immediately, or saving drafts for review. It allows setting recurring weekly times, batch scheduling campaigns, and managing native threads with queued first comments. Posts can be scheduled per account with customizable text.

What media formats does Zilfu Agents support?

The tool supports rich media uploads including JPG, PNG, WebP, MP4, and MOV files. Multiple files can be attached to a single post, and media can be uploaded directly from a local folder or referenced via a hosted URL.

Does Zilfu Agents provide analytics and reporting?

Yes, Zilfu Agents includes analytics and reporting features that track totals, engagement rates, audience metrics, and best posting times. These insights are available per account or per post over any date range.

How can Zilfu Agents be integrated into existing workflows?

Zilfu Agents integrates with cron jobs, CI/CD pipelines, and systemd timers. It can operate via environment variables for unattended publishing and offers a hosted MCP server and REST API for agents using different interfaces. Webhooks are also available to react to events in real time.

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