The enterprise control plane for AI agents

Orchestration, governance, and observability for AI agents in production.

We build the platform that lets enterprises run AI agents the way they run everything else in production: governed, observable, and secure. Agents are defined in plain English with AgentSkills, run anywhere, and operate under policy — acting on behalf of your people, with a full audit trail.

Our work spans two connected projects: Forge, the open-source runtime for building and running agents, and initializ, the enterprise control plane that governs them at scale.

Forge is a secure, portable AI agent runtime. Define an agent in a single SKILL.md file, then run it locally, in a container, in Kubernetes, or fully air-gapped — the same agent, anywhere, with no inbound tunnels to expose.

• 60-second setup — forge init configures provider, keys, channels, and skills
• Secure by default — outbound-only connections, egress allowlists, encrypted secrets
• Portable — runs local, Docker, Kubernetes, or air-gapped with local models
• Observable — structured audit logs with correlation IDs for every action
• Extensible — add skills, tools, channels, and providers without touching core

# Install
curl -sSL https://raw.githubusercontent.com/initializ/forge/main/install.sh | bash

# Build and run an agent
forge init my-agent && cd my-agent && forge run

Forge gives teams a way to build and run agents. initializ gives the organization a single place to govern them.

It's the control plane for AI agents in production: agent identity and delegated access across your SaaS systems, policy and guardrails, role-based access, and end-to-end observability — so agents can do real work across the enterprise while staying auditable and compliant.

→ See the platform at initializ.ai

• 🌐 Platform — initializ.ai
• 📚 Forge docs — useforge.ai/docs
• 💬 Community — Discord
• ⚒️ Source — github.com/initializ/forge