Rebyte provides an agent operating system that creates isolated, dedicated "agent computers" for each AI task, letting users invoke coding harnesses like Claude Code, Gemini CLI, or Codex directly from chat via @mentions. The platform enforces model and network policies, offers audit‑ready logs, and integrates read‑only access to internal data sources without custom code, enabling secure, governed AI workflows for engineering and data teams.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations using AI agents often struggle with uncontrolled execution environments, lacking isolation, governance, and transparent billing, which leads to security risks, shadow‑IT pipelines, and difficulty tracking agent actions across data sources.
Solution
Rebyte offers a trusted agent operating system that provisions a dedicated “agent computer” for each task, running coding harnesses such as Claude Code, Gemini CLI, or Codex directly from chat. Each computer enforces model and network policies at the workspace edge, provides an audit‑ready log of every action, and isolates credentials per task. A unified Agent Context layer connects agents to internal databases, APIs, and file stores without custom integration code. Private skills are versioned, reviewed, and distributed like code, enabling teams to manage capabilities securely. The platform integrates with existing Slack‑like chat tools, allowing users to @mention agents to trigger work and receive results in the same thread, while offering transparent, itemized billing per task.
Target Audience
Primary customers are engineering and data teams in mid‑size to large enterprises that need secure, governed AI agent workflows, as well as SaaS providers and internal IT groups seeking to embed AI capabilities into existing chat and collaboration tools.
Features
- Dedicated agent computers with built‑in isolation, enforcing per‑team model access policies and network allow‑lists
- Integrated coding harnesses (Claude Code, Gemini CLI, Codex) invoked via simple @mentions in chat channels
- Agent Context layer that grants read‑only access to SQL databases, document stores, REST APIs, file systems, and internal wikis without custom glue code
- Private skills management with full version history, instant rollback, and audit trails, mirroring standard software development workflows
- Identity‑based execution: each agent acts with a scoped identity and scoped credentials, providing granular attribution for every call and file operation
- Comprehensive audit logs presented as readable narratives, enabling traceability and compliance
- Transparent, itemized receipts for compute hours, model calls, and proprietary skill usage displayed after each task