Mastra and Hubzoid both help teams build AI agents, use tools and run recurring work on their own infrastructure. They organize the work differently.
Mastra (opens in a new tab) starts with a TypeScript AI application, with agents, workflows, memory and tools for testing their behavior.
Hubzoid starts with a shared Hub. The team's instructions, knowledge, procedures and tools live together, ready to use through chat, recurring work and supported assistants.
Start with what your team wants to maintain.
At a glance
- Choose Mastra when you want to build a TypeScript AI application with custom workflows and an interface of your own.
- Choose Hubzoid when your team wants to maintain shared business knowledge and use it across internal agents.
- Both overlap. Mastra supports team editing and knowledge. Hubzoid supports code workflows, personal schedules and confirmation before a run.
One task, built two ways
Imagine a support team wants an agent to prepare refund requests for review.
In Mastra, a developer connects the order lookup, supplies the policy and builds the review steps. The team tests the agent in Studio (opens in a new tab), whose editor also lets nontechnical teammates change agents without redeploying.
In Hubzoid, the support lead starts with the Hub:
- They write the refund rules, exceptions and required evidence as short documents.
- They ask a coding assistant to build the order lookup tool and review report, then check their behavior.
- An administrator grants the right teammates access to the tool and report in the Console.
People can ask about individual requests or run an enabled report from chat under their own account. With permission, they can confirm a personal schedule and find its results in My workspace. The agent prepares the evidence. A person approves and issues the refund in the order system.
What Hubzoid gives a team
- One maintained foundation. A Hub holds instructions, knowledge, skills and tools that chat, workflows and supported assistants can reuse.
- Access for each person. Hubzoid checks the caller's grants before restricted tools run and records the decision. People can also connect their own app accounts.
- Reports people can run themselves. Run for me uses the requesting person's access. Personal schedules and live report links keep recurring results close at hand.
- An open-source team application. Web chat, My workspace and the Console ship with Hubzoid under Apache 2.0 (opens in a new tab).
Side by side
| Question | Mastra | Hubzoid |
|---|---|---|
| Where does an agent start? | A TypeScript agent application | A Hub of instructions, knowledge, skills and tools |
| Who maintains it? | Developers, with teammates editing agents in Studio | The people who know the process, with a coding assistant for tools |
| How do you inspect the work? | Studio, workflow traces and evaluations | My workspace, the Console, run history and evaluations |
| How is access controlled? | Application authentication and configured authorization | Named accounts and grants checked before restricted tools run |
| What does MCP connect? | External tools, or Mastra agents and workflows exposed as tools | Shared Hub context and authorized tools inside a supported assistant |
Mastra has authorization integrations (opens in a new tab), including MCP tool checks. Its licensing (opens in a new tab) separates the Apache-licensed core from enterprise features requiring a production license. Hubzoid's team controls are part of its Apache-licensed product. Both still need hosting, models and upkeep.
How approvals work
Mastra has a documented way to pause a workflow for human input (opens in a new tab) and continue from saved state. A refund workflow can wait for a reviewer's decision before proceeding.
Hubzoid can ask for confirmation before starting a report and before saving a personal schedule. It does not provide the same built-in step for pausing midway through a workflow to approve one refund. For that case, keep the final action with the reviewer.
Can they work together?
Possibly. A Mastra agent could use a Hubzoid Hub through MCP (opens in a new tab), following Hubzoid's assistant connection requirements.
This pairing has not been tested end to end. Verify sign-in, context delivery, allowed and denied tools, and connection renewal before relying on it.
Try both on one small task
Use the same policy and a few requests with known outcomes. Check:
- Who can correct a rule and test the change?
- Can each teammate reach only the tools they should?
- Where does a person review a consequential action?
- Can someone explain a failed run without its original builder?
Next step: build a small Hub with the Hubzoid quickstart, then try the same task with Mastra (opens in a new tab).