OpenCode is a model and runner used for code-focused AI tasks and for local LLM development. Recent coverage notes Ordewell lists OpenCode as an available runner; a how‑to shows setting up OpenCode on Mac with Ollama and sbx (recommending Qwen 3.8 and Gemma 4); community discussion also touches on RTK and its claimed token savings for agents.
Ordewell: ordered plans of coding-agent tasksOrdewell turns one goal into an editable, typed plan of tasks where each task has its own runner, model, and mode and only completes when a unique completion marker appears. Plans can be rewritten before tokens are spent, preserve completed work, and support multiple runners (built-in Claude Code, Codex, OpenCode). Requires Node.js ≥20 and the TUI needs tmux.
RTK claims token savings, benchmarks disagreeDiscussion on HN examines RTK (Rust Token Killer), which compresses terminal output to reduce tokens read by AI agents; despite README claims up to 90% reduction, JetBrains’ SkillsBench and independent benchmarks found little or no cost savings.
Set Up OpenCode with Ollama and sbx on MacA how-to describing setting up a local LLM development environment on Mac using Ollama, OpenCode, and Docker sandboxes (sbx), recommending Qwen 3.8 and Gemma 4 and providing install/config steps.
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