AI does the work. You keep the final word.
A social growth operating system where AI agents handle content, scheduling, lead discovery, RSS automation, analytics and engagement across 19 platforms, while every public action waits for your approval.
Mirgent is a human-supervised AI social growth operating system developed by Kalenux, in which AI agents handle content, scheduling, lead discovery, RSS automation, analytics and engagement across 19 platforms while every public action waits for the user’s approval.[1] It is live in open beta, supports bring-your-own AI provider keys, and offers a free plan with no credit card.[1]
Mirgent is a platform for running social media like a growth system instead of a daily chore. Most social tools cover one piece of the workflow: scheduling, analytics or captions. Mirgent connects the full loop: plan content, generate platform-specific drafts, schedule across 19 networks, turn RSS feeds into posts, discover high-intent leads, approve AI-written replies, track performance and build automation workflows from one dashboard.[1]
It is made for operators who want leverage without losing control: AI agents handle the repetitive work, but every important action passes through an approval gate before it reaches the public. Beyond helping users speak, it finds people already asking for what they offer and prepares the reply for their yes.[1]
A serious operator is expected to post daily, adapt content for every platform, reply to comments, find prospects, watch conversations, track analytics, repurpose articles, test formats and stay consistent across channels. Kalenux built Mirgent because doing all of that manually becomes a full-time job before the business sees results, and a small team drowns in tabs.[1]
“Social media needs systems, not more tabs.”[1]
Agents draft content, discover leads, prepare replies, summarise performance and run scheduled workflows; the user sets the strategy, approves the actions and keeps control of the brand.[1]
Every post, reply and outreach message waits for approval before it publishes. Kalenux describes the control gate as the product rather than a limitation: automation speed without brand-risk panic.[1]
Mirgent scans X, Reddit, LinkedIn, Quora, Hacker News and other sources: nine buying-intent sources in total, for posts from people already asking for what the user offers. Each lead is scored by confidence, a reply is drafted, and its lifecycle is tracked from discovered to replied to converted.[1]
| Stage | What happens |
|---|---|
| Discovered | A buying-intent post is found and scored by confidence |
| Drafted | An AI-written reply is prepared |
| Replied | The reply is approved and sent |
| Converted | The lead is tracked through to a result |
Every article, update, launch or feed item can be turned into platform-tuned social drafts, queued and routed to approval: distribution infrastructure for everything the user publishes, not only social media.[1]
Users compose once and cross-post to 19 networks: including Instagram, Pinterest, YouTube, Quora, Reddit, LinkedIn and X, with platform-aware formatting. Analytics show what works, and a visual workflow builder with 30+ job types, plus calendar, kanban and timeline scheduling, turns winning loops into repeatable workflows.[1]
Users connect their own OpenAI, Anthropic or other provider keys, so AI usage stays transparent with no markups hidden in the pricing.[1]
On the Kalenux product page, Mirgent holds an average rating of 4.7 across a moderated review set of 7.[3]
“I was nervous about AI posting on my behalf, but every action in Mirgent is approval-gated, so nothing goes live without me. Scheduling across platforms from one place saves me hours every week.”
“If you want fully autonomous posting this is not that, and that is the point. Every action waits for approval. Once you accept that model, the scheduling and cross-platform reach are excellent.”
“We point Mirgent at our blog and industry feeds and it drafts posts we can approve or edit. Content, scheduling, and engagement in one place, all gated. Exactly the supervised setup I wanted.”
“Cost was my worry with AI tools. Using my own keys kept it predictable. The approval gate on every action gives me full control over what represents my brand across all the platforms.”