I’ve been building something that doesn’t fit cleanly into agents, SDKs, or plugins, so I’m posting to get technical feedback rather than hype reactions.
Instead of shipping an AI product or “agent,” I built a system where AI functionality itself is packaged and sold as licensed, downloadable capabilities that run locally in your own infrastructure.
Each capability is a real artifact (JS, WASM, container, edge) that does one thing well—memory systems, reasoning pipelines, resilience patterns, security controls, optimization loops, accessibility tooling, etc. They’re versioned, removable, and composable. And I promise I have capabilities you’ve never seen before.
Some capabilities can be combined into multi-module pipelines, and a subset of them improve over time through bounded learning and feedback loops. When the system discovers a new high-value pipeline, it becomes another downloadable artifact.
A few design constraints I cared about:
Runs locally (no SaaS lock-in)
Capabilities are licensed individually, not hidden behind an API
Full observability, rollback, and governance
No chat wrappers or prompt theater
Capabilities can stand alone or be composed into larger systems
Right now there are 80+ capabilities across multiple tiers, from small utilities up to enterprise-grade bundles.
What I’m honestly trying to sanity-check:
Is “AI capabilities as first-class, sellable software” a useful abstraction?
Is this meaningfully different from agent marketplaces, SDKs, or model hubs?
Where do you expect this approach to break down in real systems?
Would you rather see this exposed as agents, or kept lower-level like this?
Not here to sell—just looking for real technical critique from people who’ve seen infra ideas succeed or fail.
Happy to answer questions or clarify how anything works.
