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.
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  |
Chat with a Brain that remembers — every conversation grows durable, source-linked memory  |
See how knowledge connects — a real relationship graph, not a file list  |
Capture anything — files, whole folders, notes, screenshots, web pages  |
Automate with review — agent changes become proposals you approve first  |
Pick a model in one click — recommended local models for your hardware  |
Watch a file become memory — three named steps, not a pipeline diagram  |
Say how much it may do alone — one dial in plain words; dangerous actions stay blocked either way  |
Why Lattice AI
- Own your memory — knowledge lives in a local SQLite Brain you can back up,
export, inspect, and restore (
.latticebrainencrypted 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:
 |
 |
 |
Screenshot index and capture notes: output/release/v11.5.0/SCREENSHOT_INDEX.md
Current Release
The current release is 11.5.0 — Rust Complete:
Phases 2–4 of the Rust roadmap land in one release — as working, proven pieces, with Python converging to its target role: the AI Worker.
- The desktop's front door is now the Rust gateway. The Tauri shell boots the supervisor + gateway topology by default and the webview lives at the gateway origin. The one real blocker — a CSRF policy bound to the worker's own port — is dissolved by environment injection, proven live against the real Python worker (trusted origins 200, foreign origins 403). Three escape hatches preserve the previous topologies.
- The native surface grew fourfold.
lattice-retrievalnow serves the three-channel service search, graph reads (search / relationships / traverse), the full history read family, and the chat context assembler — 191/191 exact-parity goldens, zero epsilon.lattice-ingestcarries the typed chunker (332 golden chunks, and a 26/26 mutation-test pass proving every constant load-bearing) plus the polling folder watcher; writes stay delegated to the worker, the single writer.lattice-agentcarries the permission kernel — 2,452 exact decision-table verdicts — and natively executes only validated read-only commands in a replaced environment.lattice-jobscloses a documented gap: the durable embed queue now has a scheduler (60s ticks, honest backoff,/host/jobsstatus) driving a new fully-covered drain endpoint. - The honest boundary, stated. The Python worker keeps the document parser matrix, embedding production, LLM inference, mutating tool execution, and all graph writes. The agent loop orchestration port remains for a future release, for reasons written down in the plan.
All of it lands with the floor intact: 6,861 Python + 1,761 frontend tests at 100.00% statement and branch coverage, 534 Rust workspace tests, four bidirectional golden families, mypy/ruff/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 11.5.0 release must use exact filenames:
dist/ltcai-11.5.0-py3-none-any.whldist/ltcai-11.5.0.tar.gzltcai-11.5.0.tgzdist/ltcai-11.5.0.vsixsrc-tauri/target/release/bundle/dmg/Lattice AI_11.5.0_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 |
|---|---|
| 11.5.0 | Rust Complete |
| 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
- docs/WHY_LATTICE.md — product philosophy
- docs/TRUST_MODEL.md — local-first trust model
- PRIVACY.md — privacy and external communication policy
- FEATURE_STATUS.md — feature status and limitations
- SECURITY.md — security posture
- RELEASE.md — release guide and notes
License
MIT. See LICENSE.
1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file ltcai-11.5.0.tar.gz.
File metadata
- Download URL: ltcai-11.5.0.tar.gz
- Upload date:
- Size: 3.1 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0a8ca9dd1f530c844f018974d4c1ab2421dc26f77b26ce469e5d4fac179476ed
|
|
| MD5 |
a5340876f1d6ba151b117ad4aabe5261
|
|
| BLAKE2b-256 |
3855898e10e2d08f36105b4e284eeaedbff13a7a259cdb020340829c7fcfd59a
|
File details
Details for the file ltcai-11.5.0-py3-none-any.whl.
File metadata
- Download URL: ltcai-11.5.0-py3-none-any.whl
- Upload date:
- Size: 2.9 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.14.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
46a0edc6908c3607e8ec1517a3acedbbfa8813908fccca1fa07fcdc0cc692963
|
|
| MD5 |
c8051e1f74d8dce9ba577994439b4f19
|
|
| BLAKE2b-256 |
b1bdeeea26b1ae09cab34dbd91c69e99f433c75a318aa598bb1e14edd684628c
|
