Overview
pumaDB and Wirable are two products that address different challenges in the AI agent ecosystem. pumaDB provides durable memory storage for agents, allowing them to retain context across sessions without database setup. Wirable tests and improves how well web products work with AI agents, scoring them on six dimensions and offering remediation through a hosted MCP proxy.
Feature Comparison
| Feature | pumaDB | Wirable |
|---|---|---|
| Core Purpose | Durable memory storage for AI agents | Agent-readiness testing and remediation |
| Primary Use Case | Storing agent memories (preferences, context, task state) | Auditing product API, auth, MCP support, etc. |
| Target Audience | Developers building AI agents | Product teams ensuring agent compatibility |
| Integration Method | Hosted MCP server or REST API | Paste URL for audit; hosted MCP proxy for fix |
| Setup Complexity | Minimal – add MCP server or API key | Free audit requires only a URL |
| Memory/Data Model | JSON rows with version history | Not applicable |
| Scoring/Analytics | None | Scores 0–100 across 6 dimensions |
| Remediation | Not applicable | Hosted MCP proxy and GitHub fix PRs |
| Pricing Model | Free tier with limits | Free tier (3 audits); Pro $29/month |
Pricing
pumaDB offers a free tier with 20 tables, 1,000 rows per table, and 25 MB total storage. No paid plans are currently listed, making it accessible for small to medium projects.
Wirable has a free tier that includes 3 full agent-readiness audits. The Pro plan costs $29 per month and includes unlimited audits, a hosted MCP proxy, drift monitoring, and GitHub fix PRs.
Pros and Cons
pumaDB
Pros:
- Zero infrastructure setup – no database or vector store needed.
- Simple MCP and REST integration for agents and server-side apps.
- Built-in version history and natural language edits for easy memory management.
- Generous free tier with reasonable limits for small to medium projects.
Cons:
- Limited to 25 MB total storage, may not suit large-scale applications.
- No built-in analytics or scoring for agent performance.
- Relatively new product with limited community or ecosystem.
Wirable
Pros:
- Provides a clear, actionable score for agent compatibility.
- Offers remediation via hosted MCP proxy without code changes.
- Drift monitoring ensures ongoing compatibility with agent updates.
- Free audit available with no account required.
Cons:
- Pro plan required for continuous monitoring and remediation.
- Focuses only on testing, not on providing memory or storage for agents.
- Audit may not cover all edge cases or custom agent behaviors.
Verdict
pumaDB and Wirable serve complementary but distinct roles in the AI agent ecosystem. Choose pumaDB if you need a lightweight, durable memory store for your agents without managing infrastructure. Choose Wirable if you need to test and improve how well your product works with AI agents, especially if you want a scored audit and automated fixes. For a complete agent-ready stack, both tools can be used together: Wirable to ensure your product is agent-compatible, and pumaDB to give agents persistent memory.
pumaDB
Wirable