Contenox — Open-Source AI Agent Runtime

TL;DR

Local-first AI agent runtime that compiles to a single Go binary and configures behaviors via versioned YAML configuration files instead of proprietary code.

The Problem

Deploying and scaling AI agents usually requires complex Python/Node runtimes, vendor-locked API gateways, and heavyweight infrastructure, leading to high latency and deployment overhead.

The Implementation

Architected a modular Go engine with policy-as-config execution chains. Integrated direct LLM client interfaces (llama.cpp, OpenAI, Anthropic) and Model Context Protocol (MCP/ACP) handlers natively in-process.

The Stack

Go, MCP/ACP specs, llama.cpp API, SQLite, PostgreSQL.

The Outcome

Shipped 26+ open-source releases under Apache-2.0, enabling sub-100ms local tool execution and reducing runtime footprint to a single 30MB binary.