<span class="vcard">/u/MonokoEloba</span>
/u/MonokoEloba
artificial

[Open-Source] I need your worst edge cases to stress-test GenOS, my new AI agent orchestrator.

Hey everyone, I’m currently working on GenOS, an open-source framework for multi-agent LLM orchestration. Under the hood, it uses isolated Rust execution environments and relies on Git worktrees for clean state management and secure sandboxing. The cor…

artificial

I benchmarked AutoGen, CrewAI, LangGraph, and MetaGPT against my own Agent OS. The "LLM-as-a-judge" paradigm is completely broken. Here is the local data.

I've supposed their approach based on their website, they are of course more complex. I set up a local "Agent Arena" (qwen2.5-coder:14b on an RTX A4500) to test 5 AI agent frameworks on an ultra-strict coding task. Classic multi-agent &q…

artificial

I tested my GenOS for LLM agents. It fixed prompt bloat and replaced multi-agent swarm latency.

I ran an empirical test on GenOS, an environment where LLM agents are driven by a versioned YAML "genome" rather than massive prompts. By mutating traits (e.g., risk_tolerance) and breeding specialized agents together, I achieved emergent TDD…

artificial

I built a custom multi-agent framework (GenOS) to autonomously evolve algorithms. I pitted the 3 fundamental AI paradigms against an NP-Hard problem. Here is what happened.

Hey everyone, For a while now, I’ve been developing a proprietary multi-agent framework called GenOS. Without giving away the exact mechanics, GenOS is an orchestrator where autonomous LLM sub-agents write, compile, benchmark, and iteratively evolve Ru…