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