From your laptop to your team

One brain for your internal agents.

Provide context once. Reuse it across workflows, chat, and the AI tools your team already uses.

Want it built for your team? Build with us

Open source Self-hostable500K+ agent runs a month
One shared foundation
Your agent folder ~/my-hub
Instructions Knowledge Tools & scripts
A shared Hub Sign-in + scoped access
One Hub serves chat, workflows and your assistant.

Files you own

Your agent is a folder.

Keep its instructions, knowledge, skills and tools in one folder. Edit the files, version them in Git, and reuse the same Hub across chat, workflows and MCP.

Plain files. Yours to change.

Your agent folderInstructions, knowledge, skills and tools
team-hub Shared, with scope
AGENTS.mdTeam knowledge
TEAM CONTEXT

How this team works

Prepare concise briefings. Cite the source for each finding. Say when a source is missing. Ask for review before taking a consequential action.

Reused across chat, workflows and MCP

Put it to work

Three ways.
One shared Hub.

Team assistant
Project researchShared Hub
Daily ReportsTeam knowledge
What needs our attention today?
Here’s your daily report.

Two items need a closer look before the weekly review.

  1. The operations handover has one unresolved exception.
  2. The reporting guide changed. The new definition applies next week.
Choose a question above

Chat

Chat where your team already works.

Ask questions and request actions in web chat, Slack, WhatsApp or Telegram. Bring your business context into the conversation, with relevant sources close to the answer.

  • Web
  • Slack
  • WhatsApp
  • Telegram
WORKFLOWDaily Reports
Weekdays · 09:00
02
Prepare briefing

Summarize the changes and connect each finding to a source. Separate observations from proposed actions.

Workflows

Put good work on repeat with workflows.

Turn a useful task into a repeatable workflow. Bring together the inputs, the steps and the result, with a clear place for review when the work needs it.

  • Claude Code
  • Codex
  • Hermes
MCP
Your HubShared context + tools
Read the reporting guide

The assistant can retrieve relevant shared knowledge within the connection’s scope.

assistant → Hubzoid MCP
           → reporting guide
           → relevant context

Relevant context. Authorized capabilities.

Connect your assistant

Give your AI assistant your team’s context.

Bring Hubzoid’s shared context and authorized tools into Claude Code, Codex and Hermes through MCP. Keep the assistant you already use, with your team’s knowledge behind it.

  • Claude Code
  • Codex
  • Hermes

Ready for a team

See the work.
Set the boundaries.

Follow the work in Settings.

Inspect runs and find the work that needs attention.

Team workspace
AgentsRunsPeopleActivity
YOUR WORKSPACERuns
Team workspace

Workflow runs across your agents. Select a run to inspect its result.

Make access explicit.

Choose who can use an agent and which tools they can call. Checks happen before a tool runs.

Team workspace
AgentsRunsPeopleActivity
ORDERSAgent & tool access
Scoped access
Maya’s capabilities
Use this agent Granted

TOOL PERMISSIONS

Read ordersread_orders()Allowed
Save a draftsave_draft()Allowed
Update source recordsupdate_records()Locked
Manage accessNot granted
RoleMember

Open by design

Open source, and yours to run.

Hubzoid is open source and self-hostable. You choose the models, the integrations and where it runs.

  • Open source under the Apache 2.0 license
  • Team controls in the open-source product
  • Runs on infrastructure you control

Ready-to-use agents

Start with a working agent.

Choose a starting point for your team. Make its knowledge, rules and connections your own.

From the notebook

Latest notes on building internal agents.

All articles
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Sim vs Hubzoid: where each fits

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Foundations

Vercel eve vs Hubzoid: where each fits

Is Vercel eve open source, and is there a Python option? Compare eve and Hubzoid on language, license, hosting, approvals and Slack, plus other alternatives.

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Get started

Make your next useful agent a shared capability.

Start from the open-source repository, or ask us to build the first agent with you.

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