pumaDB vs Acti: Detailed Comparison

Overview

pumaDB and Acti are both AI-powered tools, but they serve fundamentally different purposes. pumaDB is a hosted memory store for AI agents—a simple JSON database accessible via MCP or REST that lets agents remember facts, preferences, and state across sessions. Acti is an agentic keyboard that lets users type an intent, hold a bar, and instantly get results or trigger actions across apps and APIs without switching context.

Feature Comparison

FeaturepumaDBActi
Primary FunctionDurable memory storage for AI agents (JSON rows, MCP/REST)Agentic keyboard that triggers actions and retrieves info from apps/APIs
Target UserDevelopers building AI agents that need persistent memoryEnd users who want to speed up tasks across apps without switching
Integration MethodMCP server (hosted) or REST API for server-side appsKeyboard overlay on mobile/desktop; long-press Acti Bar to invoke
Memory/Data ModelStructured JSON rows in tables with version historyNo built-in memory; relies on real-time API calls and app integrations
CustomizationDefine tables, row schemas, and memory types via APICreate custom Skill Keys by mashing up APIs and apps
Safety & ReviewRate limits, scoped tables, version history, natural edits, viewer linksNot explicitly mentioned; actions are immediate
EcosystemWorks with any MCP-compatible client (Codex, ChatGPT, Claude, OpenClaw)Community Skill Keys marketplace with thousands of downloads
Setup ComplexityMinimal: add MCP server URL or use API keyMinimal: install keyboard app and start typing

Pricing

pumaDB offers a free tier with 20 tables, 1,000 rows per table, and 25 MB total storage. Rate limits: 30 writes/min per key, 60 reads/min per key. No pricing page found; likely freemium or usage-based.

Acti pricing is not explicitly listed on the website. The app appears to be free with optional in-app purchases or subscriptions for premium Skill Keys. Selected for Google AI Startups program.

Pros and Cons

pumaDB Pros

  • Zero infrastructure: no database setup, vector store, or RAG stack needed
  • Durable, reviewable memory with version history and natural language edits
  • Works with any MCP-compatible agent client (ChatGPT, Claude, Codex, etc.)
  • Simple JSON schema makes it easy to store facts, preferences, task state, and more
  • Built-in safety rails: rate limits, scoped tables, and viewer links for large data

pumaDB Cons

  • Limited to 1,000 rows per table and 25 MB total storage on free tier
  • No built-in vector search or semantic retrieval (pure JSON storage)
  • Requires MCP or REST integration; not a consumer-facing app

Acti Pros

  • Instant action: type intent, hold bar, get result without app switching
  • Rich ecosystem of community-created Skill Keys (100+ apps/APIs)
  • Custom Skill Builder lets you mash up APIs and apps for unique workflows
  • Selected for Google AI Startups, indicating strong backing
  • Works across mobile and desktop with a simple keyboard gesture

Acti Cons

  • No persistent memory; each action is stateless and real-time
  • Dependent on third-party APIs and app integrations for functionality
  • Privacy concerns: keyboard may capture sensitive input
  • Limited to actions that can be triggered via keyboard; not a general-purpose agent memory

Verdict

Choose pumaDB if you're building AI agents that need durable, reviewable memory without infrastructure overhead. Choose Acti if you want a consumer-friendly keyboard that instantly retrieves information or triggers actions across apps. They solve different problems: pumaDB is a backend memory layer for agents, while Acti is a front-end productivity tool for humans.