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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v11.9.0 Living Brain walkthrough

Chat, files, folders, notes, and web pages all flow into one durable knowledge graph on your computer. The default is local. Cloud is optional — an OAuth-authenticated CLI (agy / grok) or an API key you configure — and nothing leaves your machine without explicit consent.

대화·파일·폴더·웹페이지가 전부 내 컴퓨터 안의 지식 그래프로 쌓입니다. 기본은 로컬이고, 클라우드는 선택입니다 (OAuth CLI 지원).

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/v11.9.0/SCREENSHOT_INDEX.md

Current Release

The current release is 11.9.0 — Working Order:

11.8.0 took weight off the door. This release puts the remaining Current stubs and the half-wired lanes in working order. The door is unchanged: lattice-host still serves 420 operations across 41 route families, and the AI worker is still 19 routes (/worker/sysinfo gained additive capabilities and python_version). Cloud is optional; the default is local; OAuth CLI (agy / grok) is supported.

  • Thirteen documented-Current stubs now answer. Model recommendations probe RAM and the worker catalog. Setup scan/auto are real probes; install is real-or-manual (brew/pip stay manual). Computer-use status reads worker capabilities. /agent/eval is a deterministic skill eval. /agents/api/run is a live single-agent pass. Automation mines conversation_messages. Workflow run is a per-step executor; build/deploy_project run governed scripts.
  • Hybrid cloud is wired. ReviewSink and a shape-only egress audit are bound in production. Dual credentials: api_key (mock-verified only) and cli_oauth (live OAuth E2E at zero billing). Escalation is auto / manual / always; local_only on the request always wins.
  • MCP is a real JSON-RPC server at POST /mcp. Chat file generation — the v9.2.0 headline deleted in the 11.6.0 port — is restored. The 8GB-tier default (gemma-4-e2b) actually runs.

What this release does not close — 2B agent-run quality, the mock-only api_key path, restore needing a restart, brew/pip staying manual, /mcp outside the OpenAPI contract, the ad-hoc-signed dmg — is listed in RELEASE_NOTES_v11.9.0.md.

Expected artifacts for 11.9.0 release must use exact filenames:

  • dist/ltcai-11.9.0-py3-none-any.whl
  • dist/ltcai-11.9.0.tar.gz
  • ltcai-11.9.0.tgz
  • dist/ltcai-11.9.0.vsix
  • src-tauri/target/release/bundle/dmg/Lattice AI_11.9.0_aarch64.dmg

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

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

Architecture At A Glance

One Rust server on localhost is the source of truth: lattice-host answers every product route, owns every write to the Brain, and supervises a Python AI worker it reaches over loopback for the things a model does — inference, embedding, extraction, parsing, rendering, speech-to-text. The React/Vite frontend and the Tauri desktop shell sit on top of that one door. Local-first by default — cloud is optional (OAuth CLI or an API key you configure), and downloads, Brain Network, and update checks are opt-in.

See ARCHITECTURE.md for details and docs/DEVELOPMENT.md for the developer workflow (npm start / bin/ltcai.js is the product; npm run dev is the 19-route worker). 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.
  • SQLite is the live local Brain store. The optional PostgreSQL/pgvector migration tooling is not part of the 11.9.0 worker.
  • Docker, model downloads, cloud model calls, Brain Network, and update checks require explicit user action. Cloud is optional: cli_oauth (agy / grok) was live-checked at zero billing; the api_key path is mock-verified only.
  • The Telegram bridge was removed in 11.6.0 — it lived in the platform code that became the AI worker. SSO/OIDC login and callback flows were removed with it; the configuration surface remains and password login is native.
  • 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.
  • POST /worker/render/pdf ships working out of the box: reportlab is a required dependency as of 11.6.0 (it used to be an undeclared lazy import that raised a 500; ltcai[pdf] remains as an empty alias for older install instructions).
  • The multimodal image and video analysis functions have no HTTP door as of 11.8.0: their only route wrapped a native image ingest that was never built. The observation code stays in Brain Core under unit test, and its module header says so.
  • The Python coverage gate is a line floor of 90 since 11.8.0 (the 100%-lines-and-branches gate was removed). 11.9.0 measures 99.97%; the enforced floor is the smaller claim.
  • 2B agent-run quality is gated honestly. gemma-4-e2b writes the requested file and can still fail the critic on the summary.
  • Restore in a long-lived process may serve pre-restore bytes until connections recycle — restart after restore. brew/pip setup items stay manual. /mcp is a real JSON-RPC server and is outside the OpenAPI contract by design.
  • The macOS dmg is ad-hoc signed — effectively unsigned — so first launch needs the usual Gatekeeper step.
  • Pointer-control tools still execute in the worker. Remaining honest gaps (open_keys pending-only, no Self-Model refiner, PART_OF left on delete, review events silent without an owner, KG-api ingest text-only, two store cycles per review mutation) are listed with their reasons in RELEASE_NOTES_v11.9.0.md.

Release History

Public history starts at 11.0.0. 11.6.0 rebuilt the product server in Rust and reduced the Python package to an AI worker, so a 10.x or 9.x install is a different program; SECURITY.md supports only 11.x, and this table states the same boundary. Earlier notes stay in the tree as RELEASE_NOTES_v*.md files.

Version Theme
11.9.0 Working Order
11.8.0 Travel Light
11.7.0 Clean Sweep
11.6.0 One Door
11.5.2 Tight Ship
11.5.1 Rust Full Loop
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

Per-release details: RELEASE_NOTES.md

Project links

Key dates

PyPI data
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  • Released:
Newer release available (12.2.1)

1 maintainer

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Avatar for TaeSooPark from gravatar.com TaeSooPark

Credits

Author: TaeSoo Park

License expression

MIT
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Requires

Python >=3.11

Provides Extra

local voice pdf all dev

Tags

ai llm mlx mcp rag vscode

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