Rebyte

Rebyte runs enterprise agents in the cloud and provides controls and feedback from observed runs.

rebyte.ai
Rebyte homepage screenshot

About Rebyte

Rebyte is an execution layer for enterprise AI agents. It runs agents in the cloud, so users do not need to build or operate their own execution stack. Agents can keep context and continue work across conversations, and they can use browsers, files, compute, Skills, and connected apps.

Rebyte also lets administrators set what an agent may do before work begins. Permissions cover models, Skills, MCP servers, tools, and apps, along with limits on network access, credentials, execution steps, and spend. Each run is traced at the level of model steps, tool calls, errors, tokens, and cost. Annotated outcomes can be fed back into instructions, Skills, and evaluations. The source does not describe pricing, usage limits, or data handling details.

Key features

  • Durable execution that keeps context across conversations
  • Agents with access to browsers, files, compute, Skills, and apps
  • Same agent runnable through an API, product, CLI, or Slack
  • Approval controls for models, Skills, MCP servers, tools, and apps
  • Limits on network access, credentials, execution steps, and spend
  • Tracing of model steps, tool calls, errors, tokens, and cost, with annotation for improvement
Best for: Organizations that want to run AI agents in the cloud with centralized controls over permissions, spend, and observed runs.
Good for
  • Permissions are defined once and applied to every run and surface
  • Every model step, tool call, error, token, and cost is traced
  • Described as OpenAI Agents API compatible and model agnostic

Rebyte at a glance

Website
rebyte.ai
Type
Online tool
Pricing
Not confirmed. Check the site
Platforms
iOS, Web
Open source
Not stated
Language
English
Last checked
Oct 6, 2026 · Online when checked
Listed
Oct 5, 2026

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Rebyte FAQ

How do I start using Rebyte?
Get an organization API key, define an Agent, and start a Session. Skills, MCP servers, and Runtime controls can be added when a job needs them.
Can the same agent run in more than one place?
Yes. The homepage states that the same Agent can run through an API, a product, a CLI, or Slack.
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