built another AI agent runtime. What would you do with it?
Summary
The author introduces Contenox, a personal AI agent runtime built to streamline LLM workflows, and asks the community for advice on how to monetize or share it.
Similar Articles
We open-sourced an agent runtime built for the part everyone skips: running agents on real hardware, offline
An open-source agent runtime designed for running AI agents on real hardware, offline, with hardware I/O support and a visual builder, supporting multi-provider LLMs and on-device RAG.
I built an open-source platform for creating and managing AI agents (MIT licensed, free to self-host)
The author built an open-source, MIT-licensed platform for creating and managing AI agents, featuring provider-agnostic support, MCP integration, memory, skills, scheduled triggers, and Kanban boards, deployable via Docker Compose.
I got tired of AI agents silently failing in production, so I built a runtime control layer for them
The author built a runtime control layer to address the problem of AI agents failing silently in production environments.
AI agents still suck, so I built my own
The author built a custom AI agent application wrapping Claude Code and upcoming Codex support, focusing on composable workflows and seeking community feedback.
I built an AI Agent marketplace? Looking for feedback
The author announces building an AI Agent marketplace and seeks feedback from the community.