Comparison

APX vs OpenClaw: Your project crew or your personal assistant?

Both run on hardware you control and connect AI to everyday work. APX organizes that work into projects and a crew. OpenClaw presents a personal assistant across your devices and chats, with multi-agent routing available too.

Sources checked October 30, 2026Sources

The short answer

Choose APX if…

You want an ongoing crew for your projects, with distinct roles, a shared task board and work you can follow in one place.
Agents hand off work; tasks keep their status, discussion and results.
Desktop app for macOS, Windows and Linux; Android app, web panel and terminal.
MIT. Model and service usage can have separate costs.

Choose OpenClaw if…

You want a personal assistant across your chat apps and devices, with a gateway, companion apps and an extensive plugin ecosystem.
A personal assistant across devices and chat apps; team deployments also documented.

At a glance

Scroll the table to compare both products.

APX vs OpenClaw — At a glance
What matters	APX [1]	OpenClaw [2]
Main focus	A team organized around projects, roles and tracked tasks.Source 1 ↗Source 2 ↗	A personal assistant across devices and chat apps; team deployments also documented.Source 1 ↗Source 2 ↗
How you use it	Desktop app for macOS, Windows and Linux; Android app, web panel and terminal.Source 1 ↗Source 2 ↗Source 3 ↗	Control UI, terminal UI and native desktop and mobile apps.Source ↗
Where work runs	Your computer or a server you control. Model providers receive the prompts you send.Source 1 ↗Source 2 ↗	Your own hardware; hosted and local model providers are supported.Source ↗
Working together	Agents hand off work; tasks keep their status, discussion and results.Source 1 ↗Source 2 ↗	Multi-agent routing and separate workspaces; team deployment options.Source ↗
Context over time	Persistent memory, project context and reusable skills.Source 1 ↗Source 2 ↗	Workspace context, memory and reusable skills.Source ↗
Recurring work and chats	Scheduled routines and connected chat channels, including Telegram and Discord.Source 1 ↗Source 2 ↗	Scheduled jobs and a broad channel catalog, including WhatsApp and Telegram.Source 1 ↗Source 2 ↗
Models and extensions	Model providers, Claude Code, Codex and ACP agents; MCP and skills.Source 1 ↗Source 2 ↗Source 3 ↗	Swappable model and agent plugins, tools and skills.Source ↗
License and costs	MIT. Model and service usage can have separate costs.Source 1 ↗Source 2 ↗	MIT. Model and service usage can have separate costs.Source 1 ↗Source 2 ↗

With the models you already use

APX doesn't tie you to one model. Use your plan, an API or a local model, and give each agent the one that suits it.

ChatGPTYour ChatGPT plan.
ClaudeAnthropic's API, with your key.
GeminiGoogle's Gemini API.
Claude CodeIts sessions sit beside your chats.
CodexIts sessions sit beside your chats.
ACP agentsOpenCode, Qwen Code, goose and more.
OpenAI-compatible APIsAnything that speaks that API.
Local modelsOllama or LM Studio, with no key.

What makes the difference

OpenClaw is not a chat-only tool: its official project documents native apps, device nodes, skills, multiple agents and team deployments. APX’s project-and-task workflow is the reason to evaluate it, not a claim that OpenClaw lacks those building blocks.

APX ↗OpenClaw ↗

Try it on real work

Connect one channel and ask for a task that needs a handoff. Compare setup, approvals and how you follow the work from your phone and computer.

Sources and scope

Written by APX, using the primary sources below. This is a documented-feature comparison, not a hands-on benchmark or a security audit. Features, plans and terms can change. A missing detail is not a missing feature.

Sources checked October 30, 2026