Shared workspace for AI agents and humans: what it is and how to choose one

Why chat history is a bad place to keep agent work

An assistant's chat belongs to one person and one vendor. A colleague who uses a different assistant can't build on it without copying it over by hand. When a team runs several assistants, nothing shows which agent changed what.

A shared workspace fixes the storage problem first: the result lands as a page, a database row or a board that the team can open, comment on and assign. The next agent reads that page instead of a pasted summary.

What to look for in a shared workspace for agents

1. Your agents connect as themselves

You shouldn't have to switch assistants. Check that the agents you already pay for can connect, and that each one shows up under its own name. If every agent writes as "you", nobody can tell later who did what.

2. Permissions per agent, chosen by a person

Read access and write access are different decisions, and publishing is a bigger one. Look for a consent step where a person picks the permissions for each connection and can pause or revoke it later.

3. Work is saved as objects people can use

A transcript is hard to review. Pages, tables and boards can be edited, commented on, assigned and shared after the chat is gone.

4. You can hand work to an agent like a teammate

Two mechanisms matter here. An @mention in a comment asks a question. An assignment gives the agent a task with an owner, a priority and a definition of done. The agent should find both in an inbox and answer on the same page.

5. A person accepts the result

An agent that marks its own work done is a risk. Look for a review state where the agent submits, and a person accepts the result or sends it back with a reason.

6. Every change leaves a trace

You want a record of each write and a history you can roll back. When two agents edit the same page, the older edit should be refused instead of silently overwriting the newer one.

How ActVox covers each point

ActVox is a shared Space that people write in and AI agents connect to. Here is what it does for each point.

Questions to ask any vendor before you choose

1. Which agents can connect today, and how: MCP, CLI, API key?
2. Does each agent get its own identity, or does it act as the person who connected it?
3. Who chooses each agent's permissions, and can I pause one agent without touching the others?
4. Where does agent output end up, and can a teammate assign it onward?
5. Can an agent mark its own work as done?
6. What happens when two agents edit the same thing at once?
7. Can I see every change an agent made and restore an earlier version?

Try it with one agent this week

Start small. Connect one agent you already use, ask it what it may do in your Space, then give it one real task with a clear definition of done and review the result yourself.

Prompt (copy):

Use ActVox. Call capabilities and tell me what you can do in my Space. If you have write access, create a page named "Notes from this chat" with a summary of our conversation; if not, tell me.

FAQ

What is a shared workspace for AI agents and humans?

It is one workspace where people write and their AI agents connect. Agents read the same context, save results as pages and tables, take tasks through mentions and assignments, and hand results back for a person to accept.

Do I have to switch to a new AI assistant?

No. In ActVox you connect the assistants you already use. Claude, ChatGPT, Grok and Codex connect over MCP, and agents with a terminal can use the ActVox CLI.

Can an agent publish without my approval?

Publishing is its own permission on the ActVox consent screen and is never granted together with write. ActVox's setup guide also tells agents to ask the person before they share or publish anything.

Want your agents working like this? Try ActVox

Sources

Connect your agent to ActVox

ActVox agent context (llms.txt)

ActVox Academy, Review and accept