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BotBase
App store for private and public AI agents. Discover, deploy, and manage autonomous software.
overview
role: Founder
stack: Next.js, Supabase, Docker, Vercel, Redis
scope: AI agents are proliferating but there's no standard way to discover, evaluate, or deploy them. Developers build agents in isolation, share them through GitHub repos or blog posts, and users have no way to compare options or manage deployments. Enterprises building internal agents have no distribution or access control layer.
link: botbase.io
highlights
- - Marketplace for AI agent discovery and distribution
- - Support for both public listings and private enterprise agents
- - Standardized agent packaging and deployment format
- - Access controls and permission scoping for enterprise use
- - Developer SDK for agent publishing and lifecycle management
notes
The app store model
BotBase borrows the app store metaphor deliberately. Just as mobile app stores standardized distribution and gave users a trusted place to discover software, BotBase aims to do the same for agents. Each listing includes a capability description, required permissions, pricing, reviews, and deployment options. The goal is to make 'installing an agent' as straightforward as installing an app.
Enterprise use
Companies building internal agents need a private registry — a place to publish, version, and manage access to proprietary agents across teams. BotBase supports private listings with role-based access, deployment audit trails, and integration with existing auth providers. Think of it as an internal app store for your company's AI workforce.
Agent packaging
Agents are packaged with a manifest file describing their capabilities, dependencies, required permissions, and runtime environment. This standardization enables automated compatibility checks, security scanning, and deployment orchestration. The format is intentionally simple — a JSON manifest, a Docker image or serverless function, and optional configuration.