ltcai 5.1.0

Lattice AI — local-first Living Brain workspace: conversation, durable memory, hybrid search, real agent/workflow runtimes, advanced graph exploration, and portable encrypted brain archives

Lattice AI

Your private AI memory layer. Keep your knowledge. Switch any model.

모델은 바꿔도, 내 지식은 남는 로컬 AI 브레인.

Lattice AI is a local-first Digital Brain for your conversations, documents, decisions, project history, relationships, and workflows. It is not a ChatGPT clone, a model launcher, a graph database, or a note app. The model is the voice you use today. The Brain is the durable asset you keep.

Use Lattice AI when you want to:

• remember project decisions across weeks or months and see the source later;
• preserve context when switching between local, cloud, or future models;
• connect documents, conversations, files, notes, and decisions into one Brain;
• export, backup, inspect, verify, and move the Brain as an encrypted .latticebrain archive;
• avoid cloud lock-in and keep knowledge local by default;
• get an honest unavailable state instead of a fake answer when no model or evidence is available.

By default, Lattice binds to localhost, stores the Brain on your machine, keeps model downloads and cloud calls behind explicit consent, and separates normal Brain use from the Admin Console. Korean and English UI copy share the same underlying Brain, so language preference changes the interface, not your data.

External package registries are owner-published and can lag behind this GitHub Release. Release uploads must use the exact v5.1.0 artifact filenames below.

Living Brain Flow

1. Login

First launch opens to Login only. The local profile is the beginning of the Brain, not a dashboard, graph, or setup grid. The first screen frames Lattice as a durable knowledge home where models are replaceable and ownership stays with the user. v5.1.0 also prevents an email typo or wrong saved-user password from silently creating a new empty Brain.

2. Environment Analysis

Lattice reads the machine locally and summarizes what kind of Brain this computer can support.

3. Recommended Models

The model step is a short recommendation list. It avoids catalog noise and keeps runtime/install details behind clear user consent. Users who do not know which model to choose can start with the recommended model in one click.

4. Install And Load

The install screen keeps consent visible and shows install, download, validate, and load progress. No model download or runtime install starts silently, and the screen explains that large downloads may take minutes without inventing fake ETA data.

5. Brain Chat

After setup, the home experience is the living Brain plus conversation. The Brain stays present while the user types, recalls context, and receives responses. The home now includes a compact Brain overview for recent memories, older memories, and major topics, plus saved-to-memory feedback after chat.

Brain Depths

The user travels inward through the Brain. Each depth keeps conversation nearby while revealing more structure.

Depth	Experience	Evidence
Level 1	Living Brain presence
Level 2	Memory Layer
Level 3	Knowledge Layer
Level 4	Relationship Layer
Level 5	Knowledge Graph with nodes, edges, search, and focus detail

Walkthrough:

Model setup status evidence:

Separate admin console evidence:

Screenshot index and capture notes: output/release/v5.1.0/SCREENSHOT_INDEX.md

Architecture At A Glance

• Desktop shell: Tauri 2 is the release desktop shell and starts the localhost sidecar.
• Frontend: React, TypeScript, Vite, TanStack Query, Zustand, Cytoscape.js, React Flow, Tailwind/shadcn-style primitives, and generated OpenAPI types.
• Backend: FastAPI on localhost is the UI source of truth.
• Brain Core: independent lattice_brain package for graph, memory, context, conversations, ingestion, runtime, workflow, storage, and portability. Isolation tests prevent lattice_brain from importing latticeai.
• Storage: StorageEngine abstraction with SQLite default and optional PostgreSQL/pgvector scale mode.
• Portability: encrypted .latticebrain archives plus backup, restore, inspect, verify, import dry-run, and confirmed restore/import flows. The Brain home keeps conversation first and surfaces the everyday "Care for my Brain" ownership path as a collapsed control with export, backup, archive, inspect, and restore preview actions while keeping destructive confirmed restore in Settings. Restore operations create pre-restore backups and roll back failed DB/blob swaps so the current Brain is not left half-restored.
• Privacy: local-first and private-first by default. Cloud models, Telegram, Brain Network, Docker/Postgres setup, model downloads, and update checks are opt-in paths.
• Admin separation: user chat and Brain ownership stay in the main Brain surface; user directory, audit logs, security events, policies, and index rebuild controls live under the separate #/admin console. Admin history, audit, stats, and sensitivity reads honor the active workspace when present.

See ARCHITECTURE.md for the detailed v5.1.0 architecture.

Installation

Run from Python:

pip install ltcai
LTCAI

Run from npm:

npm install -g ltcai
ltcai

Open the local app:

http://127.0.0.1:4825/app

Apple Silicon local model extras:

pip install "ltcai[local]"

Release Artifacts

Validated v5.1.0 artifacts:

• dist/ltcai-5.1.0-py3-none-any.whl
• dist/ltcai-5.1.0.tar.gz
• ltcai-5.1.0.tgz
• dist/ltcai-5.1.0.vsix
• src-tauri/target/release/bundle/dmg/Lattice AI_5.1.0_aarch64.dmg

Attach only those exact files to the GitHub Release. Do not upload dist/*.

Local Development

npm install
npm run dev

Build and validate release artifacts:

npm run release:artifacts
npm run release:validate

Main validation set:

npm run check:python
node scripts/run_python.mjs -m ruff check .
npm run lint
npm run typecheck
npm run test:unit
npm run test:integration
npm run test:visual
npm run desktop:tauri:check
node scripts/run_python.mjs scripts/wheel_smoke.py --wheel dist/ltcai-5.1.0-py3-none-any.whl
npm pack --dry-run
npm run docs:check-links

Known Limitations

• External package registries are owner-published and can lag behind the GitHub Release.
• PostgreSQL/pgvector is optional scale mode. SQLite is the default local brain.
• 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/workflow simulation without a loaded LLM is deterministic and does not call a model. It is labeled as LLM-free/model-free rather than presented as autonomous model success.
• Historical artifacts can remain in dist/; uploads must use exact v5.1.0 filenames.

Release History

Version	Theme
5.1.0	Product Trust & Clarity Release: clarifies the private AI memory-layer promise, hardens CSP/secret/auto-read/download gates, adds trust/privacy docs, and refreshes v5.1.0 evidence
5.0.0	Multilingual Brain Foundation Release: adds persisted Korean/English language choice across first-run onboarding, Brain home, graph exploration, and Admin Console while preserving the v4 runtime foundations
4.7.2	Intuitive Brain UX Release: safer login, one-click recommended setup, direct Brain views, memory-save feedback, and exact v4.7.2 artifacts
4.7.0	Admin Separation Release: added the separate Admin Console for users/logs/security/Brain operations, refreshed screenshots/GIFs, synchronized release docs, and built exact v4.7.0 artifacts
4.6.1	Living Brain Release Refresh: publishable version bump after v4.6.0 PyPI immutability, refreshed README/screenshots/GIFs, synchronized release docs, and exact v4.6.1 artifacts
4.6.0	Living Brain Experience: made Brain plus conversation the home product, added an animated living Brain presence, and moved graph exploration to the deepest intentional layer
4.5.1	Product Reimagining RC: replaced the desktop shell, navigation model, onboarding journey, first-viewport hierarchy, and visual system while preserving capabilities and local-first architecture
4.5.0	Product Experience Recovery RC: restored first-run setup, workspace/model onboarding, explicit model install/download/validate/load flow, Gemma 4 runtime compatibility gating, Basic-mode polish, and graph discoverability
4.4.0	Brain Engine Extraction: Brain Core physically moved into lattice_brain with isolation tests
4.3.3	Dead-Code Cleanup Release
4.3.2	Product Polish & Graph UX Overhaul RC
4.3.1	End-User Audit Repair RC
4.3.0	Portability & Product Hardening RC
4.2.0	Brain Core & Storage Rebuild
4.1.0	Frontend & Desktop Rebuild
4.0.1	Digital Brain maintenance
4.0.0	Digital Brain Platform foundation
3.0.0	v3 local-first AI workspace platform

Current Documentation

• ARCHITECTURE.md - v5.1.0 architecture.
• docs/WHY_LATTICE.md - why Lattice AI exists.
• docs/TRUST_MODEL.md - local-first trust model.
• PRIVACY.md - privacy and external communication policy.
• docs/PRODUCT_DIRECTION_REVIEW.md - Brain-first product direction review.
• FEATURE_STATUS.md - current feature status and historical status ledger.
• RELEASE_NOTES.md - release notes index.
• RELEASE_NOTES_v5.1.0.md - v5.1.0 Product Trust & Clarity release notes.
• RELEASE_NOTES_v5.0.0.md - v5.0.0 multilingual foundation history.
• RELEASE_NOTES_v4.6.1.md - v4.6.1 release refresh history.
• RELEASE_NOTES_v4.6.0.md - v4.6.0 Living Brain history.
• RELEASE.md - release checklist and exact artifact guidance.
• SECURITY.md - security posture.
• docs/CHANGELOG.md - changelog.
• docs/V4_7_1_ADMIN_OPERATIONS_REPORT.md - v4.7.1 admin operations history.
• docs/V4_7_0_ADMIN_SEPARATION_REPORT.md - v4.7.0 admin separation history.
• docs/V4_6_1_RELEASE_REFRESH_REPORT.md - v4.6.1 release refresh report.
• docs/V4_6_0_LIVING_BRAIN_EXPERIENCE_REPORT.md - v4.6.0 Living Brain design notes.

License

MIT. See LICENSE.