r/AgentsOfAI: rules, karma requirements and posting culture

Who posts here

Posts assume you already use coding agents and know what a harness, MCP, context window or token budget is. Nobody stops to explain them. The description invites the curious as well as builders, and simple questions do stay up, but they get a handful of short replies while the technical threads get detailed pushback on design.

• Solo developers and open-source authors showing an agent tool they built.
• Founders of agent startups looking for beta users and feedback.
• Engineers comparing coding agents, harnesses and token costs from daily use.
• People following AI lab news who come to argue about models, valuations and safety claims.
• Operators in marketing, support and agencies asking which agent tools actually work.

Karma and account requirements

What it takes to get a post through in r/AgentsOfAI.

What you can post

What happens to a new post

Where the most recent posts ended up. Sample size: 400.

• Stayed up49%
• Removed by Reddit's filters24%
• Removed by moderators22%
• Deleted by the author5%

Reddit counts a removal by the subreddit's own AutoModerator rules as a moderator removal, so that share is not all human. Held by AutoModerator means the post is waiting in the mod queue.

What happened when we posted here

We have posted here ourselves. This is how our own posts and comments fared.

Stayed up

100%

Removed by Reddit's filters

0%

Removed by moderators

0%

Period

December 2025 to August 2026

The culture

r/AgentsOfAI started in early 2025 and has about 128,000 members and around 22 posts a day. It is two rooms sharing a feed. One is a workshop: about a third of posts are flaired I Made This, mostly solo developers and small teams showing an agent tool, a memory system, a permissions layer or a coding harness. The other is a commentary room where people post screenshots about AI labs, model releases and valuations and argue underneath.

The commentary room wins on reach. Nearly every top post is an image flaired Discussion: a joke about everyone building harnesses, a complaint about the current models, a lab controversy. The workshop posts are longer, about 180 words at the median, and most collect a few comments. The ones that break out have a result attached, like a job search tool that led to real offers, or an honest account of a project that was abandoned.

The friction is volume. So many people are launching something that the room is tired of launches, and the moderation reflects that: I Made This posts account for most moderator removals in the sample. Readers respond to builders who state their bias and share what they measured. They skim past anything that reads like a product page.

What lands

• A screenshot or meme about the state of agent tooling or the AI labs, with a line or two of your own take.
• A build story with numbers and an outcome, such as how many job postings a tool screened and what came of it.
• A failure report. A long post about over-engineering a harness for months and dropping it drew more discussion than most launches.
• An open question to practitioners, like which harnesses people use day to day or what they first let an agent do without approval.
• A provocative claim that invites disagreement, such as a big lab's new agent killing a category of startups.

What gets removed or ignored

• Posts with a link in the title or body. AutoModerator removes them and asks for a text-only repost with the link in the comments.
• I Made This posts in general. They are about a third of the feed but roughly two thirds of the moderator removals we saw. Many of the same projects appear again in the kept posts, so a lot of this is likely the link filter followed by a repost, not a ban on the project.
• Bare product pitches: a hosted service with a free demo, a one-word title that is just a product name, a versus post between two tools.
• Duplicate submissions of the same project in different formats, text then image then video.
• About a quarter of posts are removed by Reddit's own filters before the moderators are involved.

The unwritten rules

• Say you are the author. The project posts that are received well open with a plain disclosure and put the link in the first comment.
• Lead with the problem or the measurement, not the product name. Posts framed as what you learned get replies. Posts framed as a launch get silence.
• Expect design critique. Commenters ask pointed questions about edge cases, and builders who answer them in detail earn more goodwill than the original post did.
• Comments run longer than on most subreddits, about 36 words, and roughly one in nine carries a link, usually a repo. That is where links are expected to live.
• Off-topic growth content, agency client tips and the like, does slip through, but it reads as out of place and gets little engagement.

Self-promotion

Our data has no written self-promotion rule. What exists is the link rule: AutoModerator says direct links are not allowed in titles or bodies and that your repo, demo or project link belongs in the comments. So promotion is permitted in form, under the I Made This flair, and it is a large part of the feed. In practice that flair is also where most removals happen, and launches that read like ad copy get little response even when they stay up. Disclose that it is yours, write it as a text post about what you built and found, and drop the link in a comment.

How people write here

Typical post length

179 words

Typical title length

13 words

Titles phrased as a question

30%

Typical comment length

36 words

Comments that include a link

11%

Posts that carry a flair

100%

The regulars

The accounts that showed up most in our sample. Worth reading before you post: they set the tone, and they are usually the first to reply.

Top keywords

The words and phrases that show up far more often here than in other communities, from recent posts in r/AgentsOfAI.

• agent 157 posts
• agents 121 posts
• ai agents 33 posts
• ai agent 31 posts
• code 55 posts
• task 35 posts
• coding 32 posts
• human 33 posts
• coding agent 16 posts
• multi-agent 15 posts
• muse 15 posts
• context 36 posts
• part 50 posts
• layer 24 posts
• write 29 posts
• claude code 24 posts
• mcp 21 posts
• claude 34 posts
• useful 36 posts
• model 38 posts
• boundary 15 posts
• coding agents 15 posts
• autonomous 15 posts
• prompt 26 posts
• action 22 posts
• agent's 13 posts
• tool 39 posts
• evidence 19 posts
• api 26 posts
• approval 17 posts
• codex 18 posts
• comments 23 posts
• workflow 25 posts
• tokens 18 posts
• instead 39 posts
• file 23 posts
• harness 13 posts
• repository 11 posts
• memory 20 posts
• bot 15 posts

Posts that did well

• Everyone’s building harnesses1.6k upvotes · 191 comments · Discussion
• No models worth using right now801 upvotes · 71 comments · Discussion
• Minecraft creator went from hating AI to calling it a drug313 upvotes · 21 comments · Discussion
• We’re living in the most overvalued era ever228 upvotes · 58 comments · Discussion
• The real gap between frontier labs and everyone else212 upvotes · 62 comments · Discussion
• Anyone still taking Anthropic’s fear campaigns seriously?210 upvotes · 35 comments · Discussion
• In the big 2026, what are the most underrated agents that not many people know about?123 upvotes · 32 comments · Discussion
• I built a job search engine for Claude Code. It read 10,000+ postings against my resume and picked 190. I applied and got 2 offers.114 upvotes · 29 comments · I Made This 🤖

Common questions