I Built an Open-Source AI Coding Agent That Talks to 600+ Models — Here's How

I Built an Open-Source AI Coding Agent That Talks to 600+ Models — Here's How A solo developer's journey building a terminal-first AI agent backed by a self-hosted model orchestration platform. Every AI coding tool I tried had the same problem: vendor lock-in. Copilot ties you to GitHub. Cursor ties you to their cloud. Claude Code ties you to Anthropic. I wanted something that works with any model — cloud or local — and runs entirely on my infrastructure. So I built two things: ai-coder — a terminal-based AI coding agent with autonomous task execution TriForce — the self-hosted backend that powers it, orchestrating 600+ LLMs across 9 providers Both are open source. This post walks through what they do, how they connect, and how you can try them. The Problem Most AI coding tools give you one model, one provider, one way to work. Switch providers? Rebuild your workflow. Want to use a local Ollama model for quick tasks and Claude for complex reasoning? Not supported. Need MCP tools for fi