pumaDB vs Mem0

Memory storage, or memory intelligence?

pumaDB and Mem0 both help agents carry context across sessions, but they solve different parts of the memory problem. pumaDB is a hosted JSON memory API and MCP server. Mem0 is an intelligent memory layer that extracts, searches, and retrieves memories for LLM applications.

pumaDB

Hosted JSON memory API

Mem0

Intelligent memory layer

Quick read

Choose pumaDB when you want explicit durable JSON records an agent or app can inspect and update. Choose Mem0 when you want semantic recall, memory extraction, and personalization over conversations.

Mem0 is memory intelligence. pumaDB is memory storage.

Best fit

Use the tool that matches the size of the job.

Choose pumaDB for

Hosted MCP memory without running a database or vector stack
Small structured JSON tables with explicit app-defined records
Server-side REST calls from Workers, API routes, CLIs, and scripts
Reviewable memory with row versions, restore, and explicit cleanup
Typed safe memory for resources, code, Markdown, commands, and config

Choose Mem0 for

Personalized AI assistants that need long-term conversational memory
Semantic and hybrid search across remembered facts
Automatic memory extraction from conversations or text
User, session, agent, app, or run scoped memories
LLM application integrations, SDKs, managed vector infrastructure, and self-hosting options

Detailed comparison

Where they differ.

Area pumaDB Mem0

Primary job A small hosted JSON database for agent memory and lightweight server-side app state. An intelligent long-term memory layer for LLM applications and AI agents.

Data model Named JSON tables. Current account limits are 20 tables, 1,000 rows per table, 25 MB per account, and 64 KB per row. Memories scoped around users, agents, apps, runs, or sessions, with metadata and retrieval signals managed by the memory layer.

Write behavior Agents and apps explicitly add, upsert, patch, batch, or delete JSON rows. Applications and agents add text or conversation history, and Mem0 handles memory extraction and memory operations around that content.

Query behavior CRUD, simple equality filters, sorting, counting, batch writes, and short-lived viewer links for larger results. Semantic search, structured filters, pagination, individual memory retrieval, memory events, and update or delete operations.

AI layer Stores memory as explicit JSON records. It does not run embeddings, vector search, rerankers, or LLM-based memory extraction. Positions itself around LLM memory extraction, semantic and hybrid retrieval, entity signals, temporal reasoning, and personalization.

Agent interface Hosted Streamable HTTP MCP, local stdio MCP, REST API, and CLI are built into the product surface. Hosted MCP, CLI, APIs, SDKs, agent plugins, and integrations for common LLM application frameworks.

Operational shape Hosted on Cloudflare with deliberately small limits and no vector or model configuration. Available as a managed platform, library, and self-hosted stack, with model, embedding, vector, and memory infrastructure concerns.

Recovery model Every update and delete archives the previous row. The last 10 versions are kept for 30 days and can be restored. Focuses on memory operation APIs and event visibility rather than row-level JSON version restore as the core product primitive.

Positioning

A practical way to think about the split.

pumaDB is the memory primitive

It is useful when an agent needs durable state that stays explicit: preferences, task state, project facts, resource references, code snippets, commands, config examples, and small records your own app already understands.

Mem0 is the memory engine

It is useful when the job is deciding what to remember from conversations, retrieving memories by meaning, preserving user and agent context, and reducing repeated prompt context in LLM applications.

Sources

What this comparison is based on.

Product pages change over time. This page compares pumaDB's current documented behavior in this codebase with Mem0's public project documentation.

Mem0 home Mem0 docs Mem0 MCP pumaDB docs pumaDB install

Start small

Add hosted memory without standing up a database.

Connect pumaDB over hosted MCP, or call the REST API from trusted server-side code.

Install pumaDB Read the API docs