DMV by Agent Community vs pumaDB: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of DMV by Agent Community and pumaDB — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
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DMV by Agent Community
Agent Community
Identity registration system for AI agents that issues content-addressed .agent certificates and exposes MCP tools for verification.
Key features
- Agent Registration: Pre-register a .agent name and receive a unique content-addressed certificate ID.
- MCP Server: Exposes dmv_doctor, register_agent, and verify_certificate tools over MCP.
- Operator Verification: Sends a verification email to the operator as an anti-bot safeguard.
- CLI Workflow: Register interactively or non-interactively with the bunx dmv-agent command.
- AID Discovery: Publish a DNS TXT record so agents are discoverable by endpoint and protocol.
- Claude Code Skill: Bundled /dmv skill enables registration directly inside Claude Code.
Best for
- Agent Identity: Give an autonomous agent a verifiable, unique .agent name.
- Agent Discovery: Make an agent discoverable to others via AID DNS records.
- Certificate Verification: Verify another agent's certificate before trusting it.
- MCP Integration: Add agent registration and verification tools to an MCP client.
- Community Namespace: Claim and share a name within the .agent community.
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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
- Review and retrieve persisted agent memory
- Simple API surface to connect agents to persistent storage
Best for
- Persistent Conversational Context: Store user preferences and past conversation turns as JSON so chatbots can recall history across sessions.
- Stateful Autonomous Agents: Provide long-term memory for agents that require recall of decisions, tasks, and learned information over time.
- Rapid Prototyping without DB Work: Enable developers to build and test memory-enabled agents without provisioning or maintaining database infrastructure.
- Audit and Debugging of Agent Behavior: Review stored memory entries to trace agent reasoning, reproduce issues, and validate decision contexts.
- Cross-Service Memory Sharing: Use REST or MCP interfaces to share agent memory between microservices, chat platforms, and orchestration layers.
- User Profile Management for Assistants: Persist structured user data (preferences, settings, history) as JSON to personalize assistant responses.
- Maintain long-term memory for conversational agents
- Persist agent state and interaction history as JSON
- Enable stateless agents to access shared durable memory across sessions
- Prototype agents quickly without managing database infrastructure