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

Project description

Lattice AI

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.

PyPI version npm version VS Code Marketplace Open VSX GitHub release License: MIT Python 3.11+ VS Code extension

Lattice AI demo

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:

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.

v2.2.2 QA & Stability Highlights

A no-features stabilization release that hardens the v2.2.x UI. Every fix keeps the existing design-token structure and adds no !important.

  • Mobile hamburger navigation on the Knowledge Graph and Admin pages is reachable again (a CSS source-order bug had kept the toggles hidden).
  • Admin top-bar actions (Refresh, Logout) are clickable again — a graph-only toolbar rule that floated over the header was scoped back off the graph page.
  • Removed latent horizontal overflow on the Workspace page.
  • Verified across the full viewport matrix (375px phone → 3440px ultrawide): light/dark theme parity, button hit-testing, no horizontal scroll, mobile drawer open/close, and Escape-to-close — all covered by an expanded Playwright suite.

Carried forward from v2.2.1: 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

Workspace light theme

Workspace dark theme

Knowledge Graph

Knowledge Graph

AI Pipeline

AI Pipeline designer

Admin Dashboard

Admin dashboard

Mobile Responsive

Mobile responsive layout

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

Release history

Version Theme
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

Project details


Release history Release notifications | RSS feed

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