Lattice AI — VS Code Extension

Extension for the local-first Digital Brain that keeps your knowledge durable across any AI model.

Lattice AI connects VS Code, Cursor, and VSCodium to your local-first Digital Brain. Use it to send files into durable Brain context, work with Brain-backed chat, run model workflows, and trigger coding actions from the editor.

Current Release

8.7.0 — Runtime State Hygiene & Release Evidence Refresh. The extension follows the main app positioning: Lattice AI is a local-first Digital Brain, not just a model launcher or editor chat panel. It connects editor actions to the same durable Brain context, explicit consent gates, replaceable model workflow, and separated Admin surface used by the desktop app. The v8.7.0 line aligns the extension with the 8.7.0 runtime-state hygiene baseline, refreshed release evidence, desktop Capture reliability, ToolRegistry readiness, Config DI improvements, exact release artifacts, and machine-checkable product readiness gates while preserving the visible VS Code sync status and the 8.0 runtime architecture contract.

Quick Start

Install and start the Lattice AI workspace:

pip install ltcai
LTCAI

For Apple Silicon local model support:

pip install "ltcai[local]"

Then install the extension:

The extension auto-connects to http://localhost:4825.

What It Adds

Area	Description
Chat panel	Work with local or cloud models using workspace and graph context
Current file actions	Ask, edit, explain, refactor, and generate tests from the active file
Send To Lattice	Send the current file or selection into workspace workflows
Sync status	See whether the editor is connected, indexing, synced, or offline
Model workflows	Load, switch, and use model choices managed by Lattice AI
Knowledge Graph	Use graph-backed context from files, notes, screenshots, and conversations
Multi-agent workflow	Start planner/executor/reviewer style coding workflows
Local-first workspace	Keep personal work local while supporting organization workspace patterns
Native v4 app	Use `/app` as the primary product shell

Commands

Command	Shortcut	Description
Lattice AI: Open Chat	`Cmd+Shift+A`	Open the workspace chat panel
Lattice AI: Edit Selection	`Cmd+Shift+E`	Rewrite selected code
Lattice AI: Load Model	`Cmd+Shift+M`	Pick a local or cloud model
Lattice AI: Explain Selection	Right-click menu	Explain selected code
Lattice AI: Refactor Selection	Command palette	Refactor selected code
Lattice AI: Generate Tests	Command palette	Generate focused tests
Lattice AI: Send To Lattice	Command palette	Record file context in Lattice AI
Lattice AI: Ask About Current File	Command palette	Ask with current file context
Lattice AI: Show Sync Status	Command palette / status bar	Inspect the editor-to-app bridge state
Lattice AI: Generate Terminal Command	Right-click menu	Generate a shell command
Lattice AI: Save to Knowledge Garden	Right-click menu	Save a snippet or note

Model Workflow

Lattice AI supports local and cloud model choices:

MLX-VLM on Apple Silicon for current multimodal local models, with MLX-LM retained as a text fallback only for standard Gemma 4 metadata.
LM Studio, vLLM, llama.cpp, and Ollama-compatible local paths.
OpenAI, OpenRouter, Groq, Together AI, and OpenAI-compatible endpoints.
Model cards disclose maker country, maker company, run mode, internet usage, model name, HF verification status, download/load strategy, and hardware fit.

Settings

Setting	Default	Description
`ltcai.serverUrl`	`http://localhost:4825`	Lattice AI workspace URL
`ltcai.autoLoadModel`	`false`	Load the default model on extension activation
`ltcai.defaultModel`	empty	Optional default model id

Remote or tunnel server example:

{
  "ltcai.serverUrl": "https://your-server.example"
}

License

MIT — TaeSoo Park

Lattice AI

parktaesoo