ltcai 2.2.7

Lattice AI Workspace OS for local-first graph, memory, agent, workflow, and skill operations

Lattice AI

Local-first AI workspace for knowledge graphs, AI pipelines, and multi-agent coding workflows.

Plan, execute, review, and remember work across local models, cloud models, files, and team workflows.

Install

Install the local workspace:

pip install ltcai

Add Apple Silicon local model support:

pip install "ltcai[local]"

Install the npm CLI:

npm install -g ltcai

Install the coding extension:

• VS Code Marketplace: parktaesoo.ltcai
• Open VSX: parktaesoo.ltcai
• GitHub Release v2.2.7

Quick Start

Start the workspace:

LTCAI

Then open:

http://127.0.0.1:4825

Development checkout:

npm install
npm run dev

Useful validation commands:

npm run check:python
npm run test:unit
npm run build

What Is Lattice AI?

Lattice AI is a local-first AI workspace for people and teams who want their files, models, graph context, and agent workflows in one place.

• Local-first AI Workspace: work starts on your machine, with local data and workspace state by default.
• AI Pipeline Platform: plan, execute, review, retry, and replay work across local models, cloud models, tools, files, and generated artifacts.
• Knowledge Graph Platform: documents, images, screenshots, notes, conversations, and decisions become linked entities, relationships, evidence, and reusable context.
• Multi-Agent Workflow Platform: agents hand off structured context, review work, retry with reasons, and keep timelines inspectable.
• Personal / Organization Workspace: move between personal work and team workspaces with role-aware views.
• Local Model Management: choose current multimodal local models with source disclosure, hardware-aware recommendations, and cloud fallback options.
• SSO for teams: organization workspaces can be paired with Okta or Microsoft Entra ID patterns for team access.

Why Lattice AI?

Most AI tools split your work across a chat window, a model picker, loose files, and disconnected automations. Lattice AI keeps those parts together:

• files and conversations become graph context;
• graph context feeds pipelines and coding actions;
• model cards disclose country, company, run mode, internet usage, and model identity;
• personal and organization workspaces keep team workflows separate from local work;
• multi-agent workflows leave behind replayable plans, reviews, retries, and outcomes.

v2.2.7 Visual Stabilization Highlights

Lattice AI v2.2.7 is a visual stabilization release driven by rendered browser screens, not stylesheet cleanup alone. It keeps the existing design-token structure while making the app feel like one cohesive product.

• The dark chat composer is now an intentional dark surface with a crisp outer focus state, no white haze, and no legacy inner textarea box.
• Knowledge Graph canvas and Workspace OS panels no longer fall back to washed-out light surfaces in dark mode.
• Workspace select, onboarding, recommendation, auto setup, mode select, pipeline, My Computer, profile, settings, VPC, and model-state surfaces use a shared modal/panel language.
• Static frontend asset cache-busting is normalized to ?v=2.2.7, including /static/scripts/chat.js?v=2.2.7.
• Playwright visual coverage now locks the v2.2.7 composer, graph canvas, Workspace OS dark inputs/cards, and mobile composer behavior.

Carried forward from v2.2.x: mobile-first responsive layout, design-token light/dark themes, keyboard-safe chat composer, Knowledge Graph responsive UX, Admin mobile card layout, drag-and-drop file attachment, and model-card source disclosure.

Screenshots

Workspace

Knowledge Graph

AI Pipeline

Admin Dashboard

Mobile Responsive

Knowledge Graph Flow

files / documents / images / screenshots / conversations / decisions
  -> multimodal understanding
  -> entity and relationship extraction
  -> evidence and artifact storage
  -> Knowledge Graph update
  -> AI pipeline context
  -> coding actions / analysis / documents / team workflows

The graph keeps useful workspace context available even when you change models.

Local Model Policy

Lattice AI recommends current-generation multimodal models for local use and keeps local model choices explicit.

Family	Default role	Example recommendation
Gemma 4	Default Google multimodal family	mlx-community/gemma-4-12b-it-4bit
Gemma 4 large	Higher-quality local multimodal work	mlx-community/gemma-4-31b-it-4bit
Qwen3-VL	Smaller, balanced multimodal options	mlx-community/Qwen3-VL-4B-Instruct-4bit
Llama 4	Meta multimodal option	mlx-community/Llama-4-Scout-17B-16E-Instruct-4bit

Every recommended model card shows maker country, maker company, run mode, internet requirement, and model name. See MODEL_POLICY.md.

Architecture

Personal / Organization Workspace
  -> files, chats, screenshots, model choices, workflow events
  -> Knowledge Graph
  -> AI Pipeline
  -> Multi-Agent Workflow
  -> coding actions, documents, analysis, team handoffs

Core areas:

• FastAPI local workspace app
• Knowledge Graph storage and graph APIs
• AI pipeline and workflow designer
• Multi-agent handoff, review, retry, and replay records
• Local model management and model recommendation catalog
• VS Code / Cursor / VSCodium extension surface
• Personal and organization workspace boundaries

Documentation

• ARCHITECTURE.md — workspace, graph, pipeline, and model-management overview
• docs/architecture.md — full architecture reference
• PROJECT_PRINCIPLES.md — product principles
• AI_PHILOSOPHY.md — how AI is used in the workspace
• MODEL_POLICY.md — local model recommendation policy
• KNOWLEDGE_GRAPH.md — graph model and behavior
• docs/MULTI_AGENT_RUNTIME.md — multi-agent workflow runtime
• docs/WORKFLOW_DESIGNER.md — AI pipeline designer
• docs/REALTIME_COLLABORATION.md — realtime workspace events
• docs/ENTERPRISE.md — organization workspaces and SSO
• docs/PLUGIN_SDK.md — plugin SDK
• RELEASE_NOTES.md and docs/CHANGELOG.md

Release history

Version	Theme
2.2.7	Visual system stabilization — cohesive dark/light screens, crisp chat composer, dark graph canvas, Workspace OS polish
2.2.6	Token-native CSS foundation
2.2.5	Release hygiene hotfix — dark overlays, modal stack, cache-busting, favicon, and Telegram log masking
2.2.4	Chat dark-mode completion
2.2.3	Frontend stability and UX fixes
2.2.2	Frontend QA stabilization — mobile nav, admin actions, overflow fixes, and expanded visual tests
2.2.1	Frontend and UX overhaul for responsive workspace, themes, graph UX, admin reflow, and file attachment
2.2.0	Multimodal-first Knowledge Graph and local model source disclosure
2.1.0	Multi-agent workflow maturity
2.0.0	AI pipeline, workflow, and plugin platform foundation
1.7.0	Graph and collaboration
1.6.0	Product experience deepening

License

MIT