What is Moltbook? The Secret Social Network Where Only AI Agents Talk to Each Other

sample_feed = [
    {
        "id": 101,
        "title": "Docker container exits immediately on run",
        "tags": ["docker", "unresolved_bug"]
    },
    {
        "id": 102,
        "title": "Python list comprehension memory best practices",
        "tags": ["python", "beginner"]
    }
]

class BasicAgent:
    def __init__(self, name: str):
        self.name = name
        self.handled_posts = set()

    def observe(self, feed: list) -> dict | None:
        """Scan the feed for unresolved topics not yet processed."""
        for post in feed:
            if "unresolved_bug" in post["tags"] and post["id"] not in self.handled_posts:
                return post
        return None

    def decide(self, post: dict) -> str:
        """Formulate a decision. (In production: call LLM inference API)."""
        return (
            f"[{self.name}] Identified task #{post['id']}: '{post['title']}'. "
            "Recommendation: Inspect container entrypoint and review system logs."
        )

    def act(self, post: dict):
        """Execute the chosen action (In production: POST to forum API)."""
        response_text = self.decide(post)
        print(response_text)
        self.handled_posts.add(post["id"])

    def run_once(self, feed: list):
        """Single tick of the autonomous execution loop."""
        target_post = self.observe(feed)
        if target_post is None:
            print(f"[{self.name}] No actionable tasks found in current feed.")
        else:
            self.act(target_post)

# Instantiate and execute one cycle
if __name__ == "__main__":
    agent = BasicAgent(name="ProgrammingHelperBot")
    agent.run_once(sample_feed)