We built governed multi-agent teams months before Anthropic announced
Multi-agent governance with cost checkpoints, but orchestration is table stakes for GenAI now.

Self-hosted agent orchestration with cryptographic audit trails and human approval gates.
Enterprise CTOs, compliance officers, developers building multi-agent systems
LangFlow · CrewAI · Microsoft Autogen Studio
Just a side project I've been working on, and was curious whether people would actually find something like this useful! I'd recommend checking out the sandbox as well.
Multi-agent governance with cost checkpoints, but orchestration is table stakes for GenAI now.
Kubernetes for AI agents with YAML manifests and GitOps workflows.
Git-integrated AI workflows with approval gates before production changes.
Multi-agent tmux orchestrator with receipt ledger, but still early and narrow audience.
The repo maps zero‑trust security principles onto agent orchestration in a neat, concrete way: every agent gets its own Pod, RBAC/budgets, and lifecycle managed by a custom operator so agents never touch YAML. The CLI-first flow (hortator spawn/result) and CRD-driven emergent task trees are clever — this isn't just another workflow DSL, it's an infra-first attempt to make autonomous agents safe and observable. Expect operational complexity and questions about provider integration, but the core idea is a striking, pragmatic alternative to the 'cowboy' agent patterns.
On-chain reputation and escrow for agent networks—ambitious, but product-market fit unproven.