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The operating system for AI engineering teams

Turn coding agents into a team that keeps working.

AI agents write, debug, and review code. OpenVibely provides the durable backlog, coordinated execution, continuation, project learning, and approval system around their work.

Learn about invited accessExplore the docs

Private workspace · Persistent data · No OpenVibely deployment to manage

OpenVibely task board showing backlog, active, and completed engineering work
The OpenVibely task board. Each task keeps its own thread, execution history, and reviewable changes.

More than an agent

A coding agent does the work. OpenVibely runs the operation.

Keep the agents you already trust. Add the structure that turns separate runs into a dependable engineering system.

Individual coding agents

Excellent at the task in front of them.

Give an agent a problem and it can write, debug, explain, and review code.

  • Focused execution within a working session
  • Direct interaction with code and development tools
  • Strong results from a clear, current request

OpenVibely

Built to manage what happens across tasks.

Turn individual agent runs into persistent, coordinated engineering work.

  • A backlog with ownership, state, history, and evidence
  • Parallel agents coordinated around one outcome
  • Goals, schedules, and chains that keep work moving
  • Project memory and reusable skills that carry forward
  • Review workflows and alerts when judgment is needed

OpenVibely Hosted

Get the engineering team without operating the platform.

We provision the account and workspace infrastructure so you can begin with the product instead of its deployment.

Hosted access requires an invitation. If you received an invite link, use that link to activate your hosted workspace.

Log inPrefer to self-host?
$29/ monthone workspace
  • An isolated OpenVibely container for your workspace
  • Persistent workspace data
  • Your own dedicated subdomain
  • Account access and automatic provisioning
  • Use your preferred model provider

Model-provider usage is separate and billed by the provider.

Built for hosted operation

Your workspace is isolated and your data persists.

Read the documentation

Container isolation

Your workspace runs in its own container with resource limits, dropped Linux capabilities, a read-only root filesystem, and only its dedicated data volume mounted.

Durable by default

Your database, repositories, uploads, skills, and runtime state live in a persistent volume. Billing suspension stops access without automatically deleting that data.

Credential storage

The workspace credential copy is encrypted in the hosted control-plane database. The decrypted password persists in the managed Docker container environment, where operators and processes with host-level Docker access can inspect it.

Account recovery

Password resets revoke existing sessions, update both account and workspace credentials, and restore access through the hosted control plane.

The missing layer around coding agents

Your backlog becomes an execution system.

OpenVibely gives agent work a durable structure before, during, and after the code is written.

01 · DURABLE EXECUTION

Every request becomes owned work.

Tasks keep their state, thread, execution history, attachments, and result instead of disappearing into separate sessions.

What changesAnyone can see what is queued, active, blocked, completed, or waiting for review.
02 · ORCHESTRATION

One request can use an entire agent team.

Planning, implementation, follow-ups, and review can run as coordinated work instead of disconnected prompts.

What changesParallel work stays isolated while every contribution moves toward one visible outcome.
03 · CONTINUATION

Work continues beyond the first response.

Goals evaluate unfinished tasks. Schedules start recurring jobs. Chains trigger the next step when a result is ready.

What changesLonger efforts keep moving until they finish or require a decision from you.
04 · CONTROL

Review the result, not a pile of sessions.

OpenVibely collects changed files, comments, test evidence, and task history into an inspectable result.

What changesYour team retains approval authority while alerts surface failures and decisions that need attention.

Recursive self-improvement

The system improves how future work runs.

Task Goals drive unfinished work forward. Memory Curator preserves project context. Skill Curator turns completed tasks into sharper reusable workflows.

01 · MEMORY

Project context carries forward.

Project conventions, architecture decisions, and known pitfalls are recalled when relevant.

Why it mattersTeams repeat fewer explanations and avoid mistakes the project has already learned from.
02 · SKILLS

Successful work becomes repeatable.

What worked can become a reusable, editable skill for future agents.

Why it mattersSimilar tasks begin with proven guidance instead of rediscovering the same approach.
03 · GOALS

Unfinished work keeps moving.

Give a task a concrete definition of done. Goal loops evaluate progress and queue focused continuations.

Why it mattersLonger tasks continue across multiple turns until they succeed or genuinely need input.
04 · LEARNING LOOP

Automation improves over time.

Memory, skills, schedules, task chains, and lifecycle hooks work together as one visible system.

Why it mattersMore project work produces better context and stronger reusable practices for later runs.

Put your coding agents to work as a persistent team.

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