Getting Started with OpenCode for Local AI Coding Agent Setup
OpenCode Local Setup Guide
ByteShape has published a getting started guide for using OpenCode as a fully local AI coding agent. OpenCode is a terminal-based coding agent that can write, edit, and run code using local or remote models.
Setup Process
The guide covers setup across multiple platforms:
- Mac
- Linux
- Windows (using WSL2)
Model Integration Options
The tutorial shows how to run models locally with three different tools:
- LM Studio (CLI)
- llama.cpp
- Ollama
The guide specifically mentions using ByteShape's optimized models, though it notes you can use other models as well.
Configuration Steps
The workflow includes:
- Exposing an OpenAI-compatible API endpoint
- Configuring OpenCode to work as a coding agent
The goal is to make the full workflow approachable for those new to this space, focusing on making the setup fully local and practical.
📖 Read the full source: r/LocalLLaMA
👀 See Also
OpenClaw Memory Plugin Testing Results and Recommended Stack
A Reddit user tested every OpenClaw memory plugin and found the default markdown setup causes token bloat and instruction compression. The recommended setup combines Obsidian for human-readable notes, QMD for token-free searching, and SQLite for structured data.
Recover deleted Claude Desktop conversations from Chromium cache
Immediately quit Claude Desktop, find the Chromium blockfile cache at %APPDATA%\Claude\Cache\Cache_Data (Windows), then use Python packages ccl_chromium_reader and standard compression libs to extract HTTP response bodies containing your chat UUID.
How OpenCLAW Memory Actually Works: Fixing Agent 'Forgetting'
OpenCLAW agents don't have persistent memory between conversations - they reconstruct context from files like SOUL.md, USER.md, and MEMORY.md each session. Common 'forgetting' issues stem from session bloat, unstructured memory files, and confusing chat history with permanent storage.
Grok Bot's Hidden Lock-In: No Memory Export, 20-Run History Ceiling, Shared Cloud Machine
Building real workflows on Grok Bot? xAI's own docs reveal hard limits: no memory export, 20-run routine history, shared cloud computer. Leaving means rebuilding from zero.