Comparisons

How Brrainy compares

Detailed architectural comparisons between Brrainy and existing memory tools, assistant silos, and agent frameworks.

Cross-Assistant Memory vs. Vendor Silos

Brrainy vs. Built-in Assistant Memory (ChatGPT & Claude)

Why personal context belongs in an independent memory layer, not locked inside single-vendor silos.

Cross-Assistant Portability: Unified cross-assistant memory across ChatGPT, Claude, Gemini, Perplexity, and DeepSeek.
Proactive Briefs: Scheduled morning briefs capped at 400 words, highlighting open loops, commitments, and calendar context.
Coding Agent MCP Support: Hosted Model Context Protocol (MCP) server with brain_recall and brain_remember for Claude Code, Cursor, Windsurf.

Productized Memory vs. Developer Infrastructure

End-to-end personal and organizational memory vs. metered developer APIs and DIY agent loops.

Primary Audience: Operators, founders, engineers, and teams wanting an active second brain out of the box.
Pricing & Metering: Flat subscription with zero-markup BYOK on model compute across all five AI operations.
Proactive Delivery: Scheduled morning briefs capped at 400 words delivered proactively to inbox and review feed.

Software Knowledge Graph vs. Audio Wearables

Clean software-first bi-temporal knowledge graph vs. discontinued screen/audio recording hardware.

Capture Modality: Software connectors (native integrations) and a browser extension across the web assistants you use.
Status & Platform Support: Active independent platform with continuous forward development and zero vendor acquisition lock-in.
Knowledge Representation: Bi-temporal knowledge graph tracking entities, facts, and contradictions over time.

Memory for Your Whole Week vs. Memory for Your Coding Agents

One memory across your assistants, apps and calendar vs. memory scoped to the coding harnesses on your machine.

Scope of capture: Your assistants (ChatGPT, Claude, Gemini, Perplexity, Grok, DeepSeek), 25 app connectors, and the web, desktop, mobile, browser and IDE surfaces.
Where the memory lives: Hosted and space-scoped, with row-level isolation between personal and organisation work.
Agent access: Hosted MCP server with two tools, brain_recall and brain_remember, for any MCP-capable client.

A Memory You Use vs. A Memory API You Call

A memory for your own work vs. a memory engine you embed in a product you are building.

Who it is for: People and teams who want their own work remembered, including non-developers, without integrating an SDK.
What feeds it: Assistant capture, 25 app connectors, and the web, desktop, mobile, browser and IDE surfaces.
Retrieval surface: Hosted MCP server with two tools, brain_recall and brain_remember, for any MCP-capable client.

Connect your existing tools and assistants into one unified memory layer with scheduled morning briefs and hosted MCP agent access.