ltcai 9.9.5

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

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

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	Stay in control — audit, roles, retention in a separate admin surface

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:

Screenshot index and capture notes: output/release/v9.9.5/SCREENSHOT_INDEX.md

Current Release

The current release is 9.9.5 — Closed Gaps:

• One approval path. Legacy human_in_loop now rides the same durable approval store as awaiting_approval (hashed tokens, restart-safe). The old wire contract (waiting_approval + context_id) still works; the separate in-memory _pending map is gone.
• Rollback that is honest. File recovery is git → pre-write snapshot → none, so non-git workspaces and newly created files can still be restored. Each rollback entry reports its mode.
• Critic sees artifact truth. Before judging file work, the critic gets a deterministic checklist of written paths with sanitize/repair flags — an auto-repaired scaffold cannot pass as fulfillment unchecked.
• Mid-run workspace awareness. Later executor steps see files this run already wrote, so multi-step "create then explain" work is not blind.
• Optional cross-encoder rerank. Off by default; set LATTICEAI_CROSS_ENCODER_RERANK=1 to reorder hybrid matches (identity fallback when the model is missing). Hybrid responses carry a rerank meta block.
• Surface parity for approvals. VS Code gains List/Approve/Reject commands with token cache; Telegram handles both waiting_approval and awaiting_approval with token-first resume.
• Live sidecar E2E. Nightly Playwright first-value tests hit a real FastAPI sidecar (npm run test:e2e:sidecar), not only the visual mock server.

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

Expected artifacts for 9.9.5 release must use exact filenames:

• dist/ltcai-9.9.5-py3-none-any.whl
• dist/ltcai-9.9.5.tar.gz
• ltcai-9.9.5.tgz
• dist/ltcai-9.9.5.vsix
• src-tauri/target/release/bundle/dmg/Lattice AI_9.9.5_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 9.9.5.
• 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.

Release History

Version	Theme
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

• 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.