AgentSystems

Aloha Product Hunt!

We spent the last year building AgentSystems: a self-hosted app store for AI agents that run on YOUR infrastructure (private cloud, on-premises, or local).

Why We Built This

You don't build your own email client or maps app — you download one. AI agents should work the same way.

But there's been no good way to run third-party agents without sending your data to third-party servers.

Most organizations either build every agent in-house (expensive, slow) or send data to cloud services (privacy/compliance nightmare).

1️⃣ Federated Discovery

Instead of a centralized marketplace, agent metadata lives in a Git-based index. Agent builders can publish, organizations can fork and run their own indexes. No gatekeepers.

2️⃣ Isolation Patterns

• Container isolation (each agent in separate container)

• You configure which external URLs each agent can access via egress proxy (default: none)

• Your credentials are injected at runtime (not shared with agent builders)

• Hash-chained audit logs

3️⃣ Model Abstraction

Agent builders declare model IDs ("gpt-oss:20b", "claude-sonnet-4.5", "llama3.3:70b"); you pick providers (Ollama, Bedrock, Anthropic, OpenAI).

Current Status

Pre-release with active development. Functional for testing.

What I'm Looking For

1. Early users interested in testing

2. Feedback on the federated index approach

3. Security researchers to review the architecture

4. Agent builders to publish to the index

Resources:

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

• Docs: https://docs.agentsystems.ai

Happy to answer questions! 🚀