VS Code Extensions

Tags

#local llm

PHRS AI Smart Commit

PHRS AI Smart Commit

phraulino

Generate smart commit messages with the AI CLI of your choice (Claude, Gemini, Codex, or a local model via Ollama)

Machine Learning #git
7 5.0
Torii — AI Coding Agent for VS Code

Torii — AI Coding Agent for VS Code

pettal

Japanese-first AI coding agent with cost transparency, multi-provider support, and local LLM routing for privacy protection

Chat #ai
6
Daedalus — powered by the Hermes Deep Mind engine

Daedalus — powered by the Hermes Deep Mind engine

Kinglabs

Chat with your local Daedalus agent: streaming answers, native inline diffs for every agent edit, auto-routing across local models.

Programming Languages Machine Learning #ai
5
ELEVATE

ELEVATE

ElevenSeven

AI-powered Python code feedback using local LLMs via Ollama. No cloud, no API keys.

Machine Learning Education #python
5
Vectra

Vectra

laudarisd

A local-first AI coding agent for VS Code. Run GGUF models with llama.cpp, understand repositories, review edits, and execute approved tools.

Programming Languages Machine Learning #ai
4 5.0
tab.zone

tab.zone

studiomedio

Copilot-style tab autocomplete powered by a local Ollama server.

Programming Languages Machine Learning #ai
4
Ditfa Code

Ditfa Code

ditfa

Multi-provider AI coding agent inside VS Code. Connect to OpenAI, Anthropic, Gemini, or local models via Ollama and LM Studio.

Programming Languages Machine Learning #ai
2
G

granary

granary

Front-end to your local-first granary cluster — ask the MoE, query the knowledge brain, see the board, register granary as an MCP server. No cloud.

AI Chat #MCP
2
BranchMind

BranchMind

vertexbit

AI-powered Git branch advisor. Local-first inference, privacy by architecture.

SCM Providers #git
2
CodeLoop AI

CodeLoop AI

codeloop

Salesforce-focused local AI agent for VS Code with local LLM support, safe file operations, and approval workflows.

AI Chat #Agent
1
SemantiNote

SemantiNote

BudAI

Smart, private notes for VS Code. Take meeting notes, then talk to a local open-source LLM (downloaded with Ollama) about them — ask questions, make summaries, add info, and organize. Find anything by meaning with semantic search (a local embedding model, so you never dig through folders and files)

Machine Learning Notebooks #keybindings
0