Control Center
See gateway health, CPU/RAM pressure, tokens used and OpenClaw version before anything breaks.
100% local
your machine
no cloud
no signup
Native Control Center for OpenClaw
Install LocalClaw once. Control your local models, agents, channels and scheduled OpenClaw work from a native macOS dashboard.
Installer $49. No signup. No prompts collected. Runs on your machine.
LocalClaw v1.0
Cloud LLM
OAuth LLM
Local LLM
LocalClaw
Version 1.0.140 (build 285)
⌁
Online
Gateway
openai/gpt-5.4-mini
▤
Healthy
System
CPU 28% · RAM 31.2/32 GB
▥
299.2K
Tokens used
6 requests · 30 days
▣
1 active
Channels
22 available · 1 account
OpenClaw readiness
Ready
5/5 checks passing
●Gateway
●Chat
●Model
●Channel
●Skill
Next best actions
▱ Open OpenClaw Chat
Everything essential is ready.
Everything essential is ready.
System Load
CPU38%
RAM31.3 / 32.0 GB
Swap1.85 / 3.00 GB
0 MB
OpenClaw
OpenClaw
0 MB
LM Studio
LM Studio
0 MB
Node
Node
Recent activity
● Managed skills: /Users/redsun/.openclaw/skills
● Workspace: /Users/redsun/.openclaw/workspace
● Channel inventory refreshed.
Working now
▱ChatReady●
▣Channels1 connected · 22 available●
⌁Skills18 active · 58 installed●
▤Modelsopenai/gpt-5.4-mini●
▥Automation6 active · 7 jobs●
Operations
▸OpenClaw Chat›
▸Connect channels›
▸Manage models›
▸Add skills›
// THE APP
Everything to run OpenClaw locally, in one place
A native macOS control center for the local AI stack you already own: models, agents, channels, schedules and system health.
Models
Switch between Local LLM, Cloud LLM and OAuth LLM without hand-editing config files.
Agents
Create autonomous OpenClaw agents, assign models and keep their local workspace visible.
Cron Jobs
Schedule recurring local tasks and see what will run, when it runs and which agent owns it.
Kanban
Turn local automation into visible work: backlog, ready, doing, review and done.
Chat · Skills · Channels
Use beta dev tools, channel connections and local skills from the same dashboard.
// LOCAL FIT ENGINE
Benchmarks are useful. Fit is what makes local AI work.
LocalClaw ranks models by practical local fit: your memory headroom, context target, use case, quantization and install path. Every recommendation explains why it was picked.
01
Hardware fit first
RAM, VRAM, OS and model size decide whether a model feels instant or painful.
Apple M4 · 16 GB → laptop-safe picks
02
Context has a cost
Long context increases KV cache memory, so LocalClaw warns before a model becomes slow.
32K context → extra headroom check
03
Use-case weighting
Coding, chat, reasoning, vision and speed priorities change the shortlist transparently.
Coding → code benchmark + model tags
04
Installability matters
The best model is the one you can actually load locally with the right quantization.
Q5_K_M / Q4_K_M shown upfront
LocalClaw
Download it like an app
- ▸ Guided macOS setup for OpenClaw
- ▸ Managed local models and runtime checks
- ▸ Agents, channels, skills and schedules in one UI
- ▸ 100% local: your machine, your data
Manual setup
Hours in the terminal
- ▸ Install dependencies by hand
- ▸ Edit config files and CLI flags
- ▸ Track models, agents and channels separately
- ▸ Debug local runtime issues after the fact
// CATALOGUE
A small sample of what LocalClaw tracks
Frontier
DeepSeek V4 Pro
1.6T MoE · 49B active · local catalogue
Agentic
GLM-5.1
Engineering and repository work
Laptop
Qwen 3.5 9B
Balanced local model for 16 GB+
New
Gemma 4 12B
Unified multimodal sweet spot for 16 GB+
Voice
NeuTTS Air
Real-time CPU TTS and voice cloning
ASR
Whisper v3 Turbo
Offline speech-to-text in the TTS/ASR catalogue
Frequently Asked Questions
What is LM Studio?
LM Studio is a free desktop application that lets you run Large Language Models (LLMs) locally on your computer. No internet needed, no data sent anywhere. It provides a chat interface similar to ChatGPT but everything runs on YOUR hardware.
What is quantization (Q4, Q5, Q8)?
Quantization is a compression technique that reduces model size while preserving most of the quality. Think of it like JPEG compression for images. Q4 = more compressed (smaller, slightly lower quality), Q8 = less compressed (larger, nearly original quality). Q5_K_M is the sweet spot for most users.
How much RAM do I need to run a local AI model?
Rule of thumb: the model file size plus 2-3 GB for the system. A 5 GB model needs at least 8 GB RAM. On macOS with Apple Silicon, the unified memory makes things more efficient. On Windows/Linux with a GPU, VRAM helps offload the model.
Apple Silicon vs NVIDIA GPU for local AI?
Apple Silicon (M1-M4) uses unified memory, meaning your entire RAM is available for the model. This is incredibly efficient. NVIDIA GPUs are faster for inference but limited by VRAM (typically 8-24 GB). Both are great choices.
Is my data private when using LocalClaw?
Yes. The model finder runs in your browser and does not collect prompts, hardware specs, or selected models. When using LM Studio with recommended models, inference runs locally on your machine with no cloud API calls.
What are the best local AI models in 2026?
For 8 GB RAM: Qwen 3.5 4B or Gemma 4 E4B. For 16 GB: Gemma 4 12B, Qwen 3.5 9B, GLM 4.6 Air 12B or Mistral Small 3.2 24B (tight). For 32 GB+: Gemma 4 31B, Qwen 3 Next 80B/3B MoE or Qwen 3 Coder 30B. For reasoning: Kimi K2 Thinking, DeepSeek V3.2 Exp, or Hermes 4 70B. For coding: MiniMax M2 and Qwen 3 Coder. For vision: Qwen 3 VL 32B or Gemma 4 multimodal.
What is OpenClaw?
OpenClaw is the open-source, self-hosted AI assistant at the heart of the LocalClaw ecosystem. It connects to your local models running in LM Studio or Ollama and provides a unified chat interface on desktop, web, and CLI. It's 100% private — no telemetry, no cloud, no API keys required.
What is free and what is paid?
The LocalClaw web model finder is free: use it to choose the right LLM/TTS model for your hardware. The LocalClaw beta app is the optional native macOS app that simplifies setup, handles activation, supports updates and helps manage your local AI stack. No terminal-first workflow. The current beta lifetime offer is $49 one-time, no subscription, no recurring fees. Your license is valid forever. See pricing →