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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.

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v11.4.0 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

See your Brain's story in time — a growth curve, an activity heatmap, and each day's story, rewindable to any past moment Brain Chronicle 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
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/v11.4.0/SCREENSHOT_INDEX.md

Current Release

The current release is 11.4.0 — Rust Foundation:

The Rust migration begins — not as a rewrite, but as working, proven pieces, while the Python server keeps serving every product surface.

  • A rust/ workspace with three crates. lattice-core reads the same knowledge_graph.sqlite (read-only, WAL) and carries a bit-for-bit port of the local hash embedder. lattice-retrieval is the native hybrid/keyword/vector engine — proven against committed Python goldens at 75/75 exact parity, zero epsilon, with a bidirectional contract: a Python test suite re-runs the same goldens so neither side can drift silently. lattice-host is the worker supervisor (HTTP /health gating, crash auto-restart with backoff, graceful shutdown, unified port selection) plus a loopback-only gateway: /host/* status, native /rust/search/*, and a streaming reverse proxy for everything else — an opt-in front door, with 194 Rust tests behind it.
  • The desktop shell rides the new foundation. The Tauri main.rs shrank from 451 to 149 lines by consuming lattice-host; its five IPC commands keep their exact contracts, a candidate-resolution priority-order bug is fixed, and the TCP probe became a real health check.
  • The same discipline, extended. CI gained a dedicated rust job (fmt, clippy -D warnings, tests); the 1,000-line file ceiling now covers *.rs; the version bump keeps the Rust workspace in lockstep (25 synchronized targets). The full migration roadmap lives in docs/v11.4.0_RUST_FOUNDATION_PLAN.md.

All of it lands with the floor intact: 6,643 Python + 1,761 frontend tests at 100.00% statement and branch coverage, 194 Rust tests, mypy and clippy clean, verified on macOS 3.14 and a fresh-resolve python 3.11 environment.

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

Expected artifacts for 11.4.0 release must use exact filenames:

  • dist/ltcai-11.4.0-py3-none-any.whl
  • dist/ltcai-11.4.0.tar.gz
  • ltcai-11.4.0.tgz
  • dist/ltcai-11.4.0.vsix
  • src-tauri/target/release/bundle/dmg/Lattice AI_11.4.0_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
11.4.0 Rust Foundation
11.3.0 Time Remembers
11.2.0 All Systems On
11.1.0 Product Intelligence
11.0.1 Both Branches
11.0.0 Full Measure
10.10.0 Quiet Station
10.9.0 Never Blocks
10.8.0 Within Reach
10.7.0 Plain Surface
10.6.4 Loud Limits
10.6.3 Loud Limits
10.6.2 Ask First
10.6.1 First Things
10.6.0 Promoted Panels
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

Per-release details: RELEASE_NOTES.md

Documentation

License

MIT. See LICENSE.

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