OnBrand by SlideSpeak vs pumaDB: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of OnBrand by SlideSpeak and pumaDB — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
OnBrand by SlideSpeak
SlideSpeak
Brand MCP from SlideSpeak that gives AI agents your design context to create on-brand slides directly inside Claude.
Key features
- Brand MCP Server: Expose your brand and design context to AI agents over the Model Context Protocol
- On-Brand Slide Generation: Create slides that follow company styling and themes directly in Claude
- Claude Integration: Generate presentations inside the Claude chat workflow
- Powered by SlideSpeak: Built on SlideSpeak's AI presentation generation engine
- Document-to-Slides: Underlying platform turns prompts, PDFs, Word, Excel, and websites into slides
- API Access: SlideSpeak API integrates AI presentation generation into other applications
Best for
- A team generates on-brand presentations directly in Claude without leaving the chat
- A designer enforces brand styling on AI-generated slides via the Brand MCP
- A developer connects OnBrand to an AI agent so it produces branded decks automatically
- A marketer creates consistent, on-brand slides from a document inside Claude
- An agency standardizes client deck styling by feeding brand context to AI agents
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pumaDB
pumaDB
Durable JSON memory API for agents that stores and serves agent memory via hosted MCP or REST without requiring database setup.
Key features
- Hosted MCP Endpoint: Provides a managed MCP interface so agents can connect to a memory control plane without self-hosting infrastructure or managing databases.
- REST API Compatibility: Offers a standard REST API for inserting, querying, and retrieving JSON memory rows from existing services and agent frameworks.
- Durable JSON Row Storage: Persists structured JSON rows as durable memory entries, enabling stateful behavior across agent sessions and long-lived context retention.
- Memory Review and Inspection: Includes capabilities to review stored memories so developers and auditors can inspect agent state and historical interactions.
- No-Database Setup: Eliminates the need to provision, configure, or maintain a dedicated database project — simplifying prototyping and production deployment.
- Lightweight Integration: Designed for quick integration with agent systems and assistants, reducing engineering overhead to add persistent memory.
- Hosted MCP and REST endpoints for integrations
- Store arbitrary JSON rows as durable memory
- Durable agent memory without a separate database project