Think freely, on your Mac.
Local inference has no external LLM API token charges. Use your Mac's compute for drafts and iteration.
DENOJU WORKSPACE
Local-first systems are coming online.
LOCAL-FIRST AI GENERATION OS
Research, write, build. Bring on-device AI, conversations, creative tools, and memory together. Connect external agents when you need them, and take your work through to an artifact.
Real app screens · reference images from the time of capture
Features reflect development as of Oct 2, 2026. The downloadable beta is 0.5.6 / build 21; available features and screens may differ.
01 / WHY DENOJU
Local inference has no external LLM API token charges. Use your Mac's compute for drafts and iteration.
From a question to a document, code, or website. Instructions, progress, and artifacts stay connected.
Knowledge in Memory. Procedures in Skills. Standards in Rules. Make good work reusable.
02 / FROM CHAT TO ARTIFACT
No separate AI composer for every tool. Addons hold settings and artifacts; your requests start in the shared chat.
Create PDF, Word, Excel, and PowerPoint files from your brief.
Select a project. Ask for investigation, edits, builds, and tests.
Plan, design, generate, and edit a static site. Check it in preview.
Bring people and multiple AIs around a goal. Assign planning, building, and review.
Create media with compatible models and additional runtimes.
Models and runtimes requiredOperate allowed apps and repeat tasks within permissions, approvals, and stop conditions.
03 / HOW IT WORKS
A proposal, for example.
“Make a three-section Word proposal for our new service, aimed at small businesses.”
Your selected model works through the brief. The Host checks document-tool availability and runs the task.
Open the file and ask, “Make section two shorter.” The artifact stays connected to its conversation.
THE DENOJU DIFFERENCE
DENOJU connects AI, work context, and creative tools. Your existing models and external agents can become part of the workspace.
Connect MLX/GGUF management with chat, projects, documents, websites, and meetings.
Start with on-device AI, connect external agents when needed, and choose which past context to share.
Reuse knowledge, procedures, standards, evaluations, and operating settings for the way you work.
04 / YOUR LOCAL INTELLIGENCE
MLX and GGUF support. Discover models on Hugging Face or use compatible LM Studio and Ollama libraries. See where a model lives and whether it can actually run.
05 / KEEP WHAT WORKS
Keep your judgment and methods in reusable form. Growth means accumulating knowledge and workflows; conversations alone do not automatically retrain a foundation model.
Knowledge to keep
Steps to reuse
Standards to follow
Settings tested
GET STARTED
Apple Silicon and macOS 14 or later. Follow the app's setup and account instructions.
Install and load a model that fits your memory. Compatible existing libraries work too.
Start in chat. For file-based work, select your project and output location.
Local inference with an installed compatible model runs on your Mac. Model downloads, accounts, web search, external agents, and shared features can require network access.
Local inference has no external LLM API token charges. External agents and cloud providers apply their own subscription or API fees.
Compatible MLX/GGUF files and LM Studio or Ollama libraries can be used. External agents need a supported CLI or connection and authentication. A search result is not a guarantee of compatibility.
Compatible models and additional runtimes are required. Available routes depend on your Mac's memory, formats, and connections.
The Host validates capabilities and permissions. Actions requiring approval wait for confirmation. OS access does not grant unrestricted sending, deletion, purchasing, or publishing.
Think locally. Create through conversation. Keep what works. Start on your Mac.
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