Agent Factory: Autonomous System Builds AI Agents from Online Problem Discussions
Agent Factory is an autonomous system that builds AI agents by identifying real-world problems from online discussions. Inspired by Andrej Karpathy's autoresearch pattern, it applies the same "run experiments overnight, keep what works, throw away what doesn't" approach to idea generation rather than ML optimization.
How It Works
The system scrapes Reddit, Hacker News, GitHub, and Twitter for real problems people discuss online. It scores each potential idea on three criteria: demand, market gap, and feasibility. If an idea clears a quality threshold, the system automatically builds a standalone AI agent, validates it works, and commits it. The threshold ratchets up with each build, requiring progressively better ideas.
Practical Implementation
The project consists of three key files:
program.md- Tells Claude Code where to research and what quality bar to hitseed/- A minimal Next.js template with 7 toolsrun.sh- Launches Claude Code headless and auto-restarts on context limits
The system is built with TypeScript, uses MIT licensing, and runs on either OpenRouter or Ollama. It specifically avoids LangChain and CrewAI frameworks. Each generated agent is standalone and can be cloned and run independently.
Example Output
In its first session, the system generated 20 agents including:
freelancer-deduction-finder- For freelancers asking about missed tax deductionswage-rights-advisor- For people confused about overtime exemptionsdata-broker-opt-out- For people overwhelmed by data broker opt-outs
Quality Verification
The system boots each agent, sends a test prompt, and checks if the output is useful. However, the creator acknowledges these are MVPs and some are rough. The primary purpose is idea generation - the creator reviews the shipped agents each morning and selects the most promising one for further development as a real project.
📖 Read the full source: r/ClaudeAI
👀 See Also
CodeVibe: Push Notifications for AI Coding Agents When Blocked on Input
CodeVibe sends push notifications to your phone when AI coding agents like Claude Code get stuck waiting for approval on edit operations. You can review file diffs and respond with numbered options to keep the agent moving.
Argyph: A Single MCP Server for Claude Code with 19 Structured Code Understanding Tools
Argyph is a local MCP server that gives Claude Code 19 tools — go-to-definition, find-references, call graphs, semantic search, token-budgeted repo packing — replacing multiple separate MCP servers with one install. No API key required; all processing stays on your machine.
Claude-Skills Maintainer Seeks Feedback on 181 Agent Skills Library
Reza, maintainer of claude-skills, is asking the community for feedback on his open-source library containing 181 agent skills, 250 Python tools, and 15 agent personas that work across 11 AI coding tools. He's questioning whether the isolated skill approach is effective and wants input on missing skills, persona-based agents, and tool integrations.
Bifrost AI Gateway: Open-Source Tool Addresses AI Infrastructure Gaps
Bifrost is an open-source Go-based LLM gateway that provides automatic failover between providers, budget caps that reject requests, audit logging, and hooks for evaluation. Benchmarks show it's ~50x faster than LiteLLM at high throughput.