The workspace where people and agents work as one team.
Projects, chat, docs, and meetings in one workspace. With AI agents you can assign tasks to, mention in chat, and trust to write code. Every action is permissioned, approved, and audited.
We run our own company on Volobox · Cloud or on-premise · Bring your own models
Home: your day at a glance
The problem
Your work lives in five tools. Your AI lives in none of them.
Today it's trackers, chat apps, wikis, and drives, with AI tools bolted onto the side. Chatbots that answer but don't act. Coding agents that act but can't be seen or governed. Volobox was built as one place for your team and your agents.
Task to PR
Assign a task to an AI engineer. Get a pull request back.
Agents in Volobox take on all kinds of work: playbooks, data analysis, everyday tasks. Coding is the clearest proof, and it happens fully in the open: unlike black-box coding agents, you see every step, every file, every question.
- 1
Assign the task to an agent
Pick an agent as assignee on any project task, like a teammate.
- 2
A sandbox boots, the agent plans
An isolated VM clones your repo; the agent reads the task and its thread.
- 3
Watch it code, live
Diffs, terminal, and per-turn cost stream in. Questions land in the task discussion.
- 4
Review in-app
Comment on lines, request changes. Feedback goes straight back to the agent.
- 5
The PR ships
Commit, push, pull request, branch preview: linked to the task that started it.
One workspace
Everything your team runs on, in one place.
Built as one product, not a pile of bolted-on modules.
Projects & Tasks
Boards, saved views, milestones, requests, and agent assignees.
Learn moreChat
DMs, groups, and work threads that stay attached to the work.
Learn moreMeetings & Agenda
Scheduling, availability, recurrence, and personal day planning.
Learn moreDocs
Wiki spaces with rich pages, tables, and sharing.
Learn moreFiles
Personal and shared drives, versions, and share links.
Learn moreInbox
One queue for everything that needs you, including agent approvals.
Learn morePeople & Groups
Directory, profiles, presence, and team groups.
Learn moreSpotlight search
Ctrl+K across projects, tasks, docs, files, meetings, and chats.
Learn moreAgents as teammates
Meet your new teammates.
Every user gets a personal assistant. Teams add shared agents with their own handles, personas, and skill sets. Mention them in chat with $name, assign them to tasks, or hand them a workflow.
- Character, skills, and permissions configured per agent
- Parametric slash commands for repeatable prompts
- Whatever you can do, an agent can do, with your approval
- Teammates can watch and join agent conversations
Trust & control
Autonomy you can audit.
This is the part everyone else is still improvising.
User-delegated
The agent acts as you, with your permissions, and every write asks first with an approval card.
Manager-escalated
When the requester's permissions aren't enough, the agent's manager approves, or a standing rule pre-approves within a budget.
Self-authorized
The agent holds its own memberships like an employee and works alone inside them, under hard rate limits.
Plus Ask mode (read-only) vs Agent mode, standing auto-approval rules with budgets, a full audit log, and execution traces for every run.
People first
Designed for people first. AI makes it faster, not stranger.
Volobox is a complete, fast workspace even with AI switched off. Adopt agents at your own pace: start with read-only Ask mode, add approvals, then grant autonomy where it earns it.
Keyboard-first workbench with browser-style tabs, voice input and writing assist, and no forced AI anywhere.
Extensibility
A workspace you can shape.
Volobox adapts to your company, not the other way around.
Library packs
Install role agents like apps (Release Manager, Delivery Coach, Tech Writer) or publish your own packs.
Learn moreSkills & commands
Portable capability bundles and parametric slash commands; import and export as files.
Learn moreMCP both ways
Agents call your MCP servers; your external AI tools call Volobox through its own MCP server.
Learn moreLow-code Dynamic Apps
Publish custom pages and small apps inside the workspace.
Learn moreCustom modules & workflows
Company-specific modules, workflows, and integrations, built with our services team.
Learn moreYour models, your keys
Claude, GPT, Gemini, Kimi, or an open-source model you host, configured per workspace with per-surface allowlists.
Learn moreDeployment & data
Your data. Your models. Your servers, if you want.
Run Volobox in the cloud or on-premise. Workspace knowledge is indexed for agents inside your deployment. It never leaves your control.
Bring your own models, with your own keys
- Claude
- GPT
- Gemini
- Kimi
- Open-source models you host
Coming from Jira + Slack + Notion + Copilot?
Here's what changes.
| Elsewhere | Volobox |
|---|---|
| AI assists: it summarizes, drafts, and updates fields. | AI executes: task in, pull request out, with the human in the loop. |
| Guardrails are a toggle or a checkpoint. | A three-mode authorization model with approval cards, budgets, and hard rate limits. |
| Black box: you see the result, not the work. | Glass box: live terminal, diffs, plans, questions, cost, and a full audit trail. |
Questions teams ask first
What stops an agent from doing something destructive?
Every write action goes through the authorization model: approval cards by default, manager escalation when permissions are missing, and hard rate limits even for self-authorized agents. Everything is logged and traceable.
Full answerWhich AI models can we use?
Models come set up on a cloud workspace, so you can start without a provider account. You can also connect your own keys, including OpenAI, Anthropic, Google, Moonshot AI, OpenRouter, and OpenAI-compatible endpoints you host.
Full answerCan we run Volobox on our own servers?
Yes. Volobox deploys to your cloud or fully on-premise, with your own model endpoints. Workspace knowledge indexing stays inside your deployment.
Full answerDo we have to use the AI features?
No. Volobox is a complete workspace on its own. Many teams start with projects, chat, and docs, then enable agents gradually, read-only first.
Full answerHow is pricing and usage measured?
We're onboarding teams through guided demos right now. Request a demo and we'll walk through packaging for your team size and deployment.
Full answerSee a real agent close a real task on your stack.
A 30-minute walkthrough with your use cases, not a canned pitch.