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.
More than a filesystem.
A Beeuni Computer brings together an execution environment, persistent files and code, agent identities, skills, memory, and tool permissions. Inspect the configuration, define your own agents, and keep useful results for what comes next.
Define your agents
Set each agent's instructions, skills, and access to tools. Adapt its behavior to your product or task.
Keep files and context
Save code, data, materials, and memory so later tasks can build on what is already there.
Run in isolation
Each session has its own isolated execution environment. Configure permissions for the tools your agents use.
Improve through review
Agents can propose changes to skills, instructions, and memory. Review and keep useful changes for future sessions.
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
- Credentials stay brokered by Beeuni, never copied into a session
- 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 use connected tools without ever holding raw keys
- 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.
- People stay in control before anything important ships
- Files, diffs, and results open right in the workspace
- Change requests make every edit auditable before it reaches main
- 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 parallel, each in an isolated session with its own files and execution state. Review proposed changes and bring useful code, skills, and results back into the project.
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.
Reuse what works
Keep useful code, skills, and memory available for later sessions and other agents.
The next task should start with what you kept.
Build something useful
An agent writes code, processes data, or gathers research. The files, scripts, and results stay available.
Continue from there
The next session can reuse those files and approved skills, with memory you can inspect and update.
Beeuni keeps files, configuration, and approved changes available for later sessions. Agents can propose updates to their skills and memory; you review what carries forward. That's recursive self-improvement, grounded in changes you can inspect.
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