Local coding assistants
Systems and frameworks that utilize locally hosted large-language-models (LLMs) to provide AI-driven programming capabilities—such as code generation, refactoring, and agentic terminal execution—within a private or offline environment.
Core Technologies
- ollama: A streamlined platform for running and managing LLMs locally.
- claude-code: An agentic coding tool designed to interface with the Anthropic API.
- GLM-4.7-Flash: A 30B parameter mixture-of-experts (MoE) model used for efficient local inference.
Recent Developments
- Anthropic API Compatibility: ollama now supports the Anthropic API standard, enabling tools built specifically for Claude to interact with local models.
- Local Agentic Workflows: Users can now run claude-code locally by routing its requests through ollama using models such as GLM-4.7-Flash.
Backlinks
- 2026 04 14 Ollama Claude GLM Channel Sam Witteveen
Source Notes
- 2026-04-14: # Ollama + Claude + GLM. Channel Sam Witteveen --- --- https://www.youtube.com/watch?v=NA5U06WuO34 Here is a Markdown summary and guide based on the video content. # Running Claude Code Locally with Ollama and GLM-4.7-Flash This guide covers how to use the new Anthropic AP (Ollama + Claude + GLM. Channel Sam Witteveen)
- 2026-04-22: # Graphify: Knowledge Graph for AI Coding Assistant Context and Memory Generated: 2026-04-22 · API: Gemini 2.5 Flash · Modes: Summary --- Graphify: Knowledge Graph for AI Coding Assistant Context and Memory Clip title: Graphify: Instant Knowledge Graph for Claude Code/Anti (Graphify: Knowledge Graph for AI Coding Assistant Context and Memory)