A computer built for AI.
An AI-native computer for your agents.
Give agents a computer to run programs, operate a browser, and use connected tools. Define your agents and manage their identities, skills, permissions, memory, and runtime state in an isolated environment.
Agent infrastructure
Cloud computers for agents, with code execution, tool access, and graphical interfaces.
- Run in isolation.
- Execute code and scripts on a cloud computer, with permissions for the accounts and tools each agent can use.
- Use code, tools, and a desktop.
- Access files and run commands through API, SDK, or MCP. Use the desktop when a task needs a graphical interface.
- Reuse the work already done.
- Keep files and scripts for later tasks. Resume an existing environment instead of setting it up again.
- Keep working after you log off.
- Run cloud tasks in the background and start new ones on a schedule or via a webhook, without leaving your laptop on.
- Run tasks in parallel.
- Give sessions separate cloud computers so tasks can run alongside each other without sharing a workspace.
- A Computer built for agents.
- Designed for faster responses and lower token usage.
More than a filesystem.
Inspect the files that define your Computer: agent instructions, skills, memory, code, and tool permissions.
Define your agents
Set each agent's instructions, skills, and access to tools. Adapt its behavior to your product or task.
Organize project files
Browse code, data, and source materials alongside your agent configuration.
Run in isolation
Each session has its own isolated execution environment. Configure permissions for the tools your agents use.
Improve through review
Review the changes agents propose to skills, instructions, and memory before accepting them.
One computer. More ways to connect.
Use Beeuni from the web or desktop, connect an existing agent through MCP, or use Beeuni Computer as your product's agent backend through the API and SDK.
Connect your tools once.
Connect the tools your agent needs, with access scoped to the work it does.
- 3,000+ apps, plus MCP, OpenAPI, GraphQL, and HTTP
- Connector credentials are managed by Beeuni and are not copied into sessions
- Scope each tool per project, per agent, per person
- Admins set what can run, what asks first, and what stays blocked
Models
Bring any provider — routed per session, keys stay in Secrets
Describe what you need.
Describe what you need in plain language — from Slack, Teams, the web, or your phone.
- Describe what you need in everyday language
- Ask for a report, brief, dashboard, reply, app, or change
- Tasks from each entry point run as Beeuni sessions
- Follow-up messages keep the context instead of starting over
It works in a safe sandbox.
Each task runs in its own isolated machine with scoped permissions, its own files, and a full audit trail.
- Every session gets its own isolated sandbox and branch
- Agents call connectors without holding their credentials
- Long-running work keeps going after you close the tab
- Every important action stays logged, reviewable, or approval-gated
Review what comes back.
Beeuni returns finished work — a report, deck, dashboard, app, reply, or a change request you approve.
- Configure which actions require approval
- Files, diffs, and results open right in the workspace
- Review session changes in a change request before merging them
- Approved changes can become part of the project
Save the workflow as a skill.
Turn a useful way of working into a skill file your agent can use again.
- Capture repeatable know-how in simple files
- Attach skills to the agents that need them
- Review and improve skills through change requests
- Keep the steps that made this task work
Keep what it learns.
Useful context and approved changes can carry into later sessions, so your agent does not have to start from zero.
- Keep project context, people involved, and previous decisions
- Reuse existing settings to reduce repeated setup questions
- Memory stays inspectable as files
- You choose what carries into the next run
Install Beeuni from your terminal.
One curl installs the CLI. From there you can create a project, launch sessions, and attach your local OpenCode TUI to any Beeuni sandbox.
Install the CLI
Copy, paste, and start locally.
Independent execution. Shared progress.
Run agents in separate sessions, then review and merge their changes through change requests.
Isolated & parallel
Run multiple sessions in separate execution environments, with their own files and task state.
Code, tools, and browsers
Run programs, use connected tools, and operate a browser to produce files, applications, and results.
Review proposed changes
Inspect session changes before bringing them back through a change request.
Choose what to merge
Bring selected code, skills, and memory changes into the project while keeping session work separate.
Give your agents a computer.
Use Beeuni directly, connect an existing agent, or build it into your product through the API and SDK.
Web · Desktop · CLI · API & SDK · MCP