ReiOps makesAI agents safefor businesses.
ReiOps makes AI agentssafe for businesses.
Deploy vetted AI workflows in secure sandboxes with monitoring, approval gates, audit logs, and managed support.
Active agent task
GitHub Issue Fixer
A managed ReiOps workflow that fixes small GitHub issues, runs tests, and asks for approval before opening a PR.
#128 auth/login timeout after idle session
fix/login-timeout
Policy blocked a risky agent action
Medium riskGitHub Issue Fixer wants to open a PR touching authentication logic.
Cost meter
$0.61
session total
Files changed
2
+42 / -11
Tests
Passing
npm test
Lint
1 warning
non-blocking
Managed Marketplace
Deploy curated AI workflows instead of raw agents or random scripts.
Secure Sandboxes
Run every workflow in a controlled environment with scoped permissions.
Approval Gates
Block risky actions before workflows touch customers, code, CRMs, or production.
Managed Support
Add monitoring, audit history, health checks, and SLA-backed support.
Problem
AI agents are becoming capable. Team operations are not.
Coding agents now write code, run tests, open PRs, and touch infrastructure. But their work is still scattered across CLIs, chat threads, logs, and GitHub branches. Teams need visibility, permissions, audit trails, and approval flows before they can trust agents with real engineering work.
No visibility
Teams cannot see what agents are doing in real time.
No control
Agents can touch files, repos, infra, or secrets without clear approval gates.
No audit trail
When something breaks, there is no clean trace of prompts, tools, changes, and decisions.
No cost ownership
Token and model spend becomes invisible across a team.
Core capabilities
A managed operations layer for vetted AI workflows.
Deploy workflows in secure sandboxes, monitor live execution, inspect audit-ready traces, approve risky actions, and ship reviewed outcomes with managed support.
Vetted Workflow Deployment
Launch curated workflows such as GitHub Issue Fixer from one managed workspace.
Monitoring & Traces
Inspect tool calls, terminal commands, file changes, model outputs, and errors.
Human Approval Gates
Require review before workflows modify sensitive systems, open PRs, deploy, or touch secrets.
GitHub Issue Fixer
Turn GitHub issues into sandboxed runs, tested changes, policy approvals, and PRs.
Audit Logs & Cost Tracking
Understand what happened, who approved it, and how much every workflow run costs.
Managed Support
Add support, health checks, and operating procedures around AI workflow adoption.
Workflow
GitHub Issue #128 to PR #341.
GitHub Issue Fixer follows the path every team understands: GitHub Issue #128, secure sandbox, trace, tests, policy approval, and PR #341.
Issue
Agent branch
Live trace
Tests
Human approval
Pull request
Review
Agent trace demo
Every workflow run becomes inspectable.
ReiOps records the full execution trail: source issue, sandbox events, tool calls, terminal output, files changed, test results, approval events, and final PR.
Run details
Files changed
2
Commands run
npm test, npm run lint
Cost
$0.61
Risk
Medium
Approval
Required before PR
Security and trust
AI workflows need controls, not blind trust.
ReiOps is designed around secure sandboxes, human approval, scoped credentials, audit logs, and managed support so businesses can adopt AI workflows without uncontrolled side channels.
Approval gates before merge, deploy, secrets, or production changes
Audit logs for every agent action
BYOK for model and workspace credentials
Per-repo and per-agent permissions
Human override for dangerous actions
Prototype proof
Built from Rei, our internal agent operating system.
ReiOps grew out of Rei, an internal Telegram-first agent operating system started in late January 2026. The prototype foundation includes a bot interface, Mini App dashboard, Git-backed workspace, BYOK settings, scheduled workflows, and human-in-the-loop controls.
Telegram-first control interface
Mini App dashboard
Git-backed workspace
BYOK credentials
Human-in-the-loop controls
Scheduled agent workflows
Demo workflow
See ReiOps in action
Deploy a vetted GitHub Issue Fixer workflow, watch the agent run in a secure sandbox, inspect the trace, approve the risky action, and see the final PR.
Early design partners
Building with early design partners.
We are looking for AI-native dev teams and agencies already using coding agents in GitHub workflows.