The problem: most organizations either build every agent in-house or send their data to third-party servers.

You wouldn't build your own email client or maps app - you'd download one. AI agents should work the same way. I spent a year building the infrastructure to make that possible: discover agents built by others, run them on your infrastructure (private cloud, on-premises, or local) without sending your data to third-party servers.

Key architecture:

- Federated Git-based index (fork-based ownership, no gatekeepers)

- Container isolation + egress proxy (you configure which URLs agents can access)

- Credential injection (API keys configured on host, not in agent images)

- Model abstraction (works with Ollama local, cloud APIs, or hybrid)

- Hash-chained audit logs

The platform works. The agent index is mostly empty, but someone has to build the rails so the trains can run.

Apache-2.0 open source. Pre-release but functional.

GitHub: https://github.com/agentsystems/agentsystems

Docs: https://docs.agentsystems.ai

Looking for:

- Agent builders to publish to the index

- Security researchers to review the architecture

- Organizations that need self-hosted AI infrastructure