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.
The Lock-In Trap
Enterprise-grade, but you're married to one ecosystem. Switch models? Rebuild everything.
The Wrapper Trap
Easy to start, but built for individuals — not teams. No shared context, no governance, and you'll outgrow them fast.
The DIY Trap
Maximum power, maximum cost. You'll need a dev team before your first agent ships.
Zero Ecosystem Lock-In
Any model, your API keys, switch providers anytime — OpenAI, Anthropic, Gemini, DeepSeek, and more.
Real Depth, Not a Wrapper
Agents execute real code in isolated sandboxes. Three-tier shared context across platform, org, and team.
Production-Ready Without Engineers
No-code agent builder to production in hours. Multi-agent orchestration built in, not bolted on.
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
Edgar Joya
Eric Flores
Neil Blackman
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.