An AI work team that runs on your computer

Turn one request into
work that is actually done

Lume goes beyond answers. It understands your workspace, uses local tools, remembers long-term preferences, and sends a specialist agent team to deliver usable results.

MIT open sourceLocal dataYour choice of model
Lume collaborating with a specialist agent team in a studio
Lume workspace
Lume app screenshot

Prompt

“Research this market and turn the findings into a presentation-ready brief.”

13 specialists

Not a smarter chat box.

A workbench that understands, delegates, and acts.

One task, end to end

You set the goal. Lume runs the process.

From context to delivery, every step stays visible, pausable, and resumable.

01

Understand the workspace

Read the project, files, and relevant memories before deciding what the task really needs.

Context aligned
02

Plan and delegate

Break a complex goal into clear pieces and assign each one to the best-fit specialist.

Plan stays editable
03

Use tools and act

Search, edit files, run commands, and generate images instead of stopping at advice.

Progress stays visible
04

Deliver usable work

Return conclusions and artifacts in a thread you can keep moving forward.

Results saved locally

From idea to artifact

Work, create, and research from one place

No elaborate prompt craft required. Describe the real need and Lume finds the next step.

Research

Turn scattered sources into a reliable point of view

Search across sources, verify claims, map disagreements, and deliver a cited brief.

L

“Compare five competitors and show me where the real opportunity is.”

顾砚唐栩
3 agents are working in parallel
Build

Move real work forward inside a codebase

Understand constraints, locate files, edit code, and verify the result with full context intact.

L

“Fix this issue without changing the existing sign-in flow.”

陆寻审岳祁远
3 agents are working in parallel
Create

Go from a blank page to something worth sharing

Research, writing, translation, and visuals work together to shape a complete piece.

L

“Turn these interviews into an opinionated long-form article.”

许澄江岚白洛
3 agents are working in parallel
Automate

Let recurring work happen on schedule

Create routines and automations, then receive the output in your messaging channel.

L

“Every Monday, summarize progress and send me the top risks.”

沈策唐栩
3 agents are working in parallel

Context that stays

It remembers more than chat history

Project context, writing preferences, key decisions, and unfinished work carry into the next task. Memory is stored as readable local files you can inspect, edit, back up, or move.

Preference: lead with the conclusion
Constraint: this project uses Bun
In progress: website redesign, mobile review pending
“No more starting from zero. Lume knows what you are doing and how you like to work.”

Local-first by design

Your work does not need to be uploaded first

Memories, threads, skills, automations, and agent workspaces live under ~/.lume/. Markdown and YAML remain the source of truth.

~/.lume/
├── memory/           # Markdown
├── skills/           # SKILL.md
├── automation/       # cron
├── agent-workspaces/
└── lume.yaml
  • Readable: no proprietary data lock-in
  • Controlled: you approve sensitive actions
  • Portable: copy one folder to back up or move

Built to act

One workbench, a complete execution layer

Files, terminals, browsers, search, image generation, Office artifacts, and MCP services all share the same task context.

File systemTerminalWeb & searchImage generationMCP servicesMessagingAutomationDocuments
Lume running local automations at a nighttime workstation

Work continues when you step away

Quietly running. Ready on time.

Hand recurring work to automations. Lume runs locally on schedule, brings in the right personas and tools, then sends the result to the channels you already use.

1 Scheduled research and reports
2 Parallel specialist execution
3 Proactive result delivery
Next task · Today at 10:00 PM
陆寻 Explorer
沈策 Planner
审岳 Code Reviewer
顾砚 Researcher
许澄 Translator
江岚 Writer
宋澈 Voice Artist
林澄 Design Engineer
白洛 Illustrator
唐栩 Data Analyst
纪衡 Quant Analyst
温序 Novelist
祁远 Developer
陆寻 Explorer
沈策 Planner
审岳 Code Reviewer
顾砚 Researcher
许澄 Translator
江岚 Writer
宋澈 Voice Artist
林澄 Design Engineer
白洛 Illustrator
唐栩 Data Analyst
纪衡 Quant Analyst
温序 Novelist
祁远 Developer

Not one generic persona

A team with distinct specialties

Every persona has a clear specialty, workspace, and way of working. The main thread understands your goal and hands each part to the right person.

Personas are functional: each has its own system prompt, tool preferences, and task boundaries.

陆寻

陆寻

Explorer

沈策

沈策

Planner

审岳

审岳

Code Reviewer

顾砚

顾砚

Researcher

许澄

许澄

Translator

江岚

江岚

Writer

宋澈

宋澈

Voice Artist

林澄

林澄

Design Engineer

白洛

白洛

Illustrator

唐栩

唐栩

Data Analyst

纪衡

纪衡

Quant Analyst

温序

温序

Novelist

祁远

祁远

Developer

13 specialists, ready when needed

Keep your model choice

One interface, the models you trust

Connect leading providers and local models. Assign models by task and balance quality, speed, and cost on your terms.

OpenAIAnthropicGeminiDeepSeekQwenKimiGLMDoubaoOpenRouterOllamaLM Studio

Made for builders too

Put the same agent engine inside your product

Lume ships its core loop as a standalone SDK. Run it in a server, Docker, serverless, or CI without a local CLI dependency.

Read the SDK docs
agent.ts
import { createAgent } from '@lume/agent-sdk'

const agent = createAgent({
  model: 'claude-sonnet-4-6',
  maxTurns: 10,
})

for await (const event of agent.query(
  'Read the project and ship the change.'
)) {
  console.log(event)
}

FAQ

A few things to know before you start

How is Lume different from a normal AI chat app?+

Chat apps optimize for one-off answers. Lume is built for ongoing work: it can use local files and tools, keep durable memory, and delegate complex tasks across specialist personas.

Where is my data stored?+

Core data lives in the ~/.lume/ folder on your computer. Memory uses Markdown as its source of truth, with readable configuration formats for easy backup and migration.

Can I use my own API key or a local model?+

Yes. Lume supports OpenAI-compatible endpoints, a range of hosted providers, and local options such as Ollama and LM Studio.

Is Lume free?+

Lume is free to download and open source under the MIT license. Third-party model providers may charge according to their own pricing.

Bring AI into the actual workspace

Give the next task to Lume

Local first, free, and open source. Get started in minutes.