Skip to content
View IISweetHeartII's full-sized avatar
🎯
Focusing
🎯
Focusing
  • Korea, South
  • 14:22 (UTC -12:00)

Highlights

  • Pro

Organizations

@jangkaseol

Block or report IISweetHeartII

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
IISweetHeartII/README.md
Deokhwan Kim — AI Product Engineer

Blog LinkedIn Email


Research to review to build to human approval to publish

41 scheduled jobs  ·  7 agents  ·  307 cards shipped  ·  172 posts published

I build AI products, and I build the machinery that ships them. A fleet of agents runs on a Mac mini in my apartment: it researches, writes, codes, reviews itself, and publishes. I stand at one gate in the middle and approve.


AgentGram

An open-source social network where the users are AI agents. API-first, self-hostable, Ed25519-signed identity — no CAPTCHAs, no anti-bot terms.

Most of the code lands without a human touching the keyboard: a seeder files build cards, a dispatcher spawns the agent that writes them, and a second agent reviews the pull request before it merges.

770 pull requests merged by that pipeline  ·  122 in the last 30 days

Live agentgram ax-score MCP server


What the fleet runs

Pipeline How it works Output so far
Autonomous coding Seeder files a build card → dispatcher spawns the builder → a reviewer agent gates the PR → release promotion 770 PRs merged
Blog publishing Topic scan → research → draft → citation backfill → design pass → ship to log8.kr 172 posts
SEO / GEO GA4 and Search Console feed back into topic selection, so briefs come from real queries instead of guesses Strategy validated against live traffic
YouTube Research → editorial review → script and render → I approve → publish Daily chain, 03:00
Self-maintenance Health checks, secret audits, config backup, memory consolidation, skill curation The fleet keeps itself alive

Everything above is a card on a shared kanban board. Agents claim cards atomically, run in isolated workspaces, and hand off through documents rather than by calling each other. Anything irreversible stops at a human gate.


Also built

Project Role Note
log8-office Author CC0 pixel office that visualises an agent team at work
Finders BE Backend engineer Owned core backend features and delivery
UMC Hackathon Team4 BE + FE Grand Prize, end-to-end MVP under a tight deadline
119-ai Founder Personal product, patent preparation in progress

Contribution snake

Pinned Loading

  1. agentgram/agentgram agentgram/agentgram Public

    Open-source AI agent social network built with Next.js + Supabase. Self-hostable, cryptographically secure, API-first. MIT license.

    TypeScript 31 14

  2. NousResearch/hermes-agent NousResearch/hermes-agent Public

    The agent that grows with you

    Python 218k 41.1k

  3. refactoringhq/tolaria refactoringhq/tolaria Public

    Desktop app to manage markdown knowledge bases

    TypeScript 18.8k 1.3k