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Lattice AI — local-first Digital Brain that keeps your knowledge durable across any AI model.

Project description

Lattice AI

Your model is the voice you use today. Your Brain is the asset you keep.

모델은 갈아타도, 내 지식은 내 컴퓨터에 남는 로컬 우선 AI 브레인.

PyPI Version npm Version VS Code Marketplace Version Open VSX Version CI Status License

v10.5.0 Living Brain walkthrough

Chat, files, folders, notes, and web pages all flow into one durable knowledge graph on your computer. Any model — local MLX or cloud — can speak with that memory. Nothing leaves your machine without explicit consent.

대화·파일·폴더·웹페이지가 전부 내 컴퓨터 안의 지식 그래프로 쌓이고, 어떤 모델이든 그 기억을 이어받아 대화합니다.

What You Can Do

Chat with a Brain that remembers — every conversation grows durable, source-linked memory Brain Chat See how knowledge connects — a real relationship graph, not a file list Memory Graph
Capture anything — files, whole folders, notes, screenshots, web pages Capture Automate with review — agent changes become proposals you approve first Review Center
Pick a model in one click — recommended local models for your hardware Recommended Models Stay in control — audit, roles, retention in a separate admin surface Admin Console
Watch a file become memory — three named steps, not a pipeline diagram Material to memory Say how much it may do alone — one dial in plain words; dangerous actions stay blocked either way Settings

Why Lattice AI

  • Own your memory — knowledge lives in a local SQLite Brain you can back up, export, inspect, and restore (.latticebrain encrypted archive).
  • Model-independent — switch between local MLX models and cloud models without rebuilding context from zero.
  • Honest by design — the Brain tells you when retrieval context is limited, when captured pages extracted poorly, and when the vector index is catching up.
  • Safe automation — automations are consent-first drafts; edits to existing content always pass through a reviewable proposal with a diff.

매번 AI에게 프로젝트 맥락을 다시 설명하고 있다면, 지식이 여러 서비스에 흩어져 있다면, 그 기억을 특정 회사가 아니라 내가 소유하고 싶다면 — Lattice AI가 그 브레인입니다.

Quick Start

pip install ltcai        # or: npm install -g ltcai
LTCAI                    # then open http://127.0.0.1:4825/app

Apple Silicon local models: pip install "ltcai[local]". Desktop app (Tauri) ships as a dmg on each GitHub Release.

First-run flow — wake the Brain, pick the owner, load a recommended model:

Login Model install Model library

Screenshot index and capture notes: output/release/v10.5.0/SCREENSHOT_INDEX.md

Current Release

The current release is 10.5.0 — Everyday Words:

10.4.0 named the ground the code stands on. 10.5.0 renames the ground the reader stands on: every screen a first-time user lands on now says what Lattice is doing in the words that user would use. No feature was removed — the engine's own vocabulary moved behind the advanced mode switch, where it belongs to the people who asked for it.

  • The autonomy dial is a sentence, not a mode name. 엄격 / 신뢰 / 바이패스 became 먼저 물어보기 / 웬만하면 알아서 / 거의 다 알아서, each with one line about what it will and will not do on its own. The home dial and Settings now draw that copy from one module, so the same setting is never named two ways — and a mode the server adds later still renders, from the server's own label.
  • The path from a file to a memory is three named steps. 진행 상황 was hidden from plain mode and held two raw API payloads. It now shows 내용 읽기 → 뜻 파악하기 → 기억에 연결하기 as a labelled ordered list, with each step saying what it does to your file. 파싱 · 임베딩 · 인덱싱 are gone from that screen.
  • Automations are named the way you named them. A run shows its workflow's name rather than a database id, and its state is spoken — awaiting_approval reads as "내 승인 기다리는 중". Unknown states say so instead of printing the token. Advanced mode still shows the id.
  • A model your machine cannot run says so in one sentence instead of a registry line half-translated word by word.
  • The published screenshots were wrong before this release. Capture ran in advanced, so every README frame showed payload panels, storage engines and hook logs that no first-run user is ever shown. Captures now run in the app's real default, basic — this page's images are what you will actually see.
  • Guarded, not asserted. A visual sweep walks ten plain-mode routes and fails if any of them renders empty or puts engine vocabulary in front of a reader who never asked for it.

Release notes: RELEASE.md · Full history: docs/CHANGELOG.md

Expected artifacts for 10.5.0 release must use exact filenames:

  • dist/ltcai-10.5.0-py3-none-any.whl
  • dist/ltcai-10.5.0.tar.gz
  • ltcai-10.5.0.tgz
  • dist/ltcai-10.5.0.vsix
  • src-tauri/target/release/bundle/dmg/Lattice AI_10.5.0_aarch64.dmg

Do not use wildcard artifact uploads. Package registry publishing remains owner-run.

Architecture At A Glance

FastAPI on localhost is the source of truth; the React/Vite frontend and the Tauri desktop shell sit on top; the independent lattice_brain package owns the graph, memory, ingestion, and portability. Local-first by default — cloud calls, downloads, Telegram, and update checks are opt-in.

See ARCHITECTURE.md for details and docs/DEVELOPMENT.md for the developer workflow (npm install && npm run dev, validation via npm run lint, npm run test:unit, npm run test:visual).

Known Limitations

  • External package registries are owner-published and can lag behind GitHub.
  • PostgreSQL/pgvector is optional scale/migration tooling. SQLite remains the live local Brain store in 10.3.0.
  • Docker, model downloads, cloud model calls, Telegram, Brain Network, and update checks require explicit user action.
  • Conversation does not fabricate answers when no model is loaded. Agent and workflow simulation without a loaded LLM is deterministic and LLM-free (it does not call a model) — labeled as such, never presented as autonomous model success.
  • Some backend-generated messages (for example the Postgres DSN notice) are produced server-side in English and are shown as-is; server-side i18n is not part of 10.3.0.

Release History

Version Theme
10.5.0 Everyday Words
10.4.0 Named Ground
10.3.0 Measured Ground
10.2.0 Load-Bearing Fixes
10.1.1 Reachable Boundary
10.1.0 Hybrid Brain
10.0.1 One Source of Truth
10.0.0 Plain Language
9.9.9 Lean Shell
9.9.8 Autonomy Dial
9.9.7 No Gaps Left
9.9.6 Same Brain Everywhere
9.9.5 Closed Gaps
9.9.4 Durable Loops
9.9.3 Closed Loops
9.9.2 Artifact Trust
9.9.1 Clean Foundations
9.9.0 Fail-Closed Trust
9.8.0 Honest Knowledge Pipeline
9.7.0 Proactive Hybrid Brain
9.6.0 Trusted Agent Loop
9.5.0 Command Center
9.4.0 Question-Driven Everyday Automation
9.3.0 Proactive Brain Intelligence
9.2.0 Model-Agnostic File Generation
9.1.0 Code Review Completion & Fail-Closed Runtime
9.0.0 Code Review Closure & Runtime Cleanup
8.9.0 Scoped Memory & Tool Policy Hardening
8.8.0 Brain Core Extraction & Recall Proof Hardening
8.7.0 Runtime State Hygiene & Release Evidence Refresh
8.6.0 Desktop Capture & Navigation Reliability
8.5.0 Tool Registry Readiness & Config DI
8.4.0 Action-Aware Brain Chat
8.3.0 Orchestrated Brain Readiness
8.2.0 Brain Brief
8.1.0 Intuitive Brain Home
8.0.0 Runtime Architecture Contract

Per-release details: RELEASE_NOTES.md

Documentation

License

MIT. See LICENSE.

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