openloops
Openloops vs. ZeroClaw: An Honest Comparison for 2026
Oct 1, 2026
6 min

Openloops vs. ZeroClaw: An Honest Comparison for 2026

A lean assistant for you, or a framework for a product everyone else will use?

ZeroClaw's own README uses almost the exact same words OpenClaw's does: "if you want a personal, single-user assistant that feels local, fast, and always-on, this is it." ZeroClaw's twist is how it gets there, a single Rust binary a few megabytes in size, starting in milliseconds, with no Node.js runtime to install. It's a leaner build of the same idea, not a different target. openloops starts from a different target entirely: not an assistant for the person running it, but a framework for a product that other people, your customers, will each use with their own data, tools, and history.

That's worth being upfront about before getting into features, because this isn't really two frameworks competing for the same job. It's a finished personal product, rebuilt to be as small and fast as possible, next to a framework for building a multi-tenant one.

The short version

  • If you want a fast, portable, personal assistant that runs almost anywhere, ZeroClaw's tiny Rust binary is built for exactly that, and starts in milliseconds.
  • If you're building a product that different people will each use with their own data and tools, openloops scopes that per user from the start, something a single-owner workspace doesn't do.
  • ZeroClaw's allowed_users list controls who can message the agent, it doesn't give each of them their own isolated data. Everyone allowed still shares one workspace.

Feature-by-feature

Area Openloops ZeroClaw
Designed for Multi-user, enterprise, and SaaS products, from the ground up A single person's personal assistant, by design, optimized for footprint and speed
Per-user data isolation Chats, context, and credentials scoped per user from the start One workspace for one owner; allowed_users restricts who can message the agent, not separate isolated data per sender
MCP support Native, connected and scoped automatically per end-user Native, attach custom MCP servers directly, scoped to the single owner's workspace
Runtime footprint A Node.js package you run as part of your own backend A single Rust binary, a few megabytes, millisecond startup, no runtime dependencies
Out-of-the-box experience None; it's a framework, you build the agent and the product around it A complete, ready-to-run assistant, with channels, tools, and memory, no code required
What you're actually building A product other people will use Your own assistant, for yourself

Where each one actually shines

ZeroClaw's real strength: small, fast, and genuinely portable

A few-megabyte Rust binary with a millisecond startup and no runtime dependencies is a real engineering achievement, and it means ZeroClaw runs comfortably on hardware that would struggle with a full Node.js stack, including ARM and RISC-V devices. Attach custom MCP servers, connect it to Discord, Telegram, or email, and you have a capable personal assistant with essentially no install overhead. openloops isn't trying to compete on footprint, it's a package you run as part of a larger backend, not a tiny binary meant to run on its own.

Openloops' real strength: isolation per user, not just an allowlist

ZeroClaw's allowed_users setting is an access control list: it decides who is permitted to message the agent, not who gets their own separate memory, tools, or credentials once they do. Everyone on that list is still talking to the same single workspace, the same session, the same configured MCP servers. That's consistent with ZeroClaw's own description of itself, a personal, single-user assistant, just restricted to specific senders. openloops treats separation as the default instead: every user gets their own chat history, their own MCP servers, and their own credentials, scoped in the framework itself, not layered on top as a sender allowlist.

On MCP and tools specifically

ZeroClaw's MCP support is genuine and built in, you attach custom MCP servers the same way any modern agent harness does. The question isn't whether the connection works, it's whose data it touches once it's connected. In ZeroClaw, an attached MCP server belongs to the one workspace, the one owner. There's no concept of a second, third, or hundredth user getting their own separate MCP connections inside the same running instance.

Openloops

Each end-user of your product registers their own MCP servers and has their own credentials. openloops connects the right ones automatically per user, at the start of every turn.

ZeroClaw

MCP servers are attached to the single running instance and its one workspace. Restricting who can message the agent doesn't change who the connected tools belong to.

Which one should you pick?

openloops was designed from the start for teams building enterprise and SaaS products, where different users each have their own data, tools, and credentials as the default case. ZeroClaw was designed for one person who wants a fast, portable assistant that gets out of the way. These are answers to different questions, not competing answers to the same one.

Reach for ZeroClaw if:

  • You want a personal assistant for yourself, with the smallest possible footprint.
  • You need it to run on constrained hardware, including ARM or RISC-V devices.
  • You're the only person who will ever use this particular instance, or you're fine with everyone allowed sharing one workspace.

Reach for Openloops if:

  • You're building a product more than one person or company will use.
  • You need separate credentials, MCP servers, and history per end-user, not just a shared workspace with an allowlist.
  • You're writing the backend of a product, not configuring an assistant for yourself.
  • You'd rather start from a pre-built loop than assemble a product's agent logic from zero, the same instinct behind picking a WordPress theme over hand-coding a site.

Bottom line

ZeroClaw does an impressive job at what it's built for: a complete personal assistant squeezed into a single, fast, portable binary. Its allowed_users list controls who can reach it, but everyone on that list still shares the same workspace, memory, and MCP connections, because isolating them was never the design goal. openloops starts from the opposite assumption: scoping credentials, MCP servers, and history per user isn't a feature to add later, it's the foundation.

If what you want is a lean, fast assistant for yourself, ZeroClaw is built for exactly that, and openloops isn't trying to be it. If what you're building is a product other people will use, each with their own data and tools, that's what openloops is for.

Ready to build your first agent?

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npm install openloops
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