Platform Giants Lock You In.
GPT Wrappers Cap Your Depth.
Dev Frameworks Need Engineers.
AgentShelf Doesn't.

Why we're different

Three categories. Three traps. One way out.

Every alternative forces a tradeoff between Easy, Powerful, and Open. AgentShelf is the first platform that doesn't ask you to.

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Our story

Why we built AgentShelf

We built 50+ bespoke AI agents for enterprise clients and saw the same problems: agents trapped in IDEs and CLIs, no way to share them without zipping folders, zero visibility into usage, and non-technical teams locked out entirely.

The results when agents worked were staggering. Tasks that took weeks now took minutes. But getting them into the hands of the people who needed them most? That was the bottleneck.

After solving this problem one client at a time, we decided to productize it. AgentShelf is the platform we kept wishing existed: build, manage, and govern AI agents declaratively. No downloads, no coding required.

Our team

Leadership

Technical depth and GTM. We've built the platforms and sold them inside the teams we're targeting.

Gabe Arce

Gabe Arce

Chief Executive Officer
Founded and led two enterprise consultancies (Talavera Solutions, Arce Cloud Consulting). Ex-VP, Axos Bank. 100+ enterprise deployments across regulated industries with a team of 50.
Edgar Joya

Edgar Joya

Chief Technology Officer
Founder (Joya Technology). 7+ years building data engineering & automation systems at Bank of America. VP of Engineering at Talavera Solutions. Shipped production infra across financial services.
Eric Flores

Eric Flores

Chief Product Officer
Founder (consumer data startup, Google for Startups / Manos Accelerator). Founding sales team, Google Cloud LATAM. Shipped voice AI + smart home platforms reaching 10M+ users at Comcast.
Neil Blackman

Neil Blackman

Forward Deployed AI Engineer
Built automation systems across financial services at Axos Bank. Applied AI consulting at Talavera Solutions. Core platform engineer on AgentShelf — built the workspace and the institutional context layer.

Where we've built

Our principles

What we believe

The non-negotiables behind every product decision we make.

Context That Compounds

Upload your knowledge once. Every agent and every teammate already has it. Context builds over time — it doesn't reset with every conversation.

Any Model, No Lock-In

Use the best LLM for each task. Switch providers without rebuilding agents. Your context travels with you, not with a vendor.

Governed by Default

RBAC, audit trails, cost controls, and compliance designed in from day one. Not bolted on after the security review kills your rollout.

AgentShelf is the layer that makes AI work for teams.

Easy. Powerful. Open.