Comparison

Engrams vs everything else.

Three categories of AI memory exist today. Platform memory lives inside one tool. Agent memory infra is built for developers. Engrams is project memory that works across every AI you use.

Feature	Engrams	ChatGPT Memory	Claude Projects	Mem0	Zep
Works across AI platforms	Yes — 6+	ChatGPT only	Claude only	Via MCP + SDK	Via SDK
MCP native	Yes	Consumer	Connectors	Yes	Graphiti
Structured memory types	7 types	Unstructured	Files + instructions	3 types	Facts + graph
Task management	Built-in	No	No	No	No
Decision tracking	Built-in	No	No	No	No
Session handoffs	Episodes	No	No	No	No
Shared projects	Yes	No	Team plan	Org memory	Enterprise
Agent coordination	Registry + inbox + pull	No	No	No	No
Agent inbox / pull	Native	No	No	No	No
Cross-platform memory continuity	Yes — pull()	No	No	SDK only	SDK only
Setup time	3 min	Built-in	Built-in	SDK integration	SDK integration
Target user	Multi-AI workers	ChatGPT users	Claude users	Developers	Developers

Cross-platform memory continuity means your agents stay in sync across tools. Save a decision in ChatGPT, switch to Claude Code, run pull() — it returns the decision, new tasks, and the latest handoff. No paste. No re-explaining. No context lost between platforms.

Three categories of AI memory.

Each solves a different problem. Choose based on how you work.

Category 1

Platform memory

ChatGPT Memory, Claude Projects, Cursor Rules, Windsurf Memories. Built into one tool. Works great if you only use that tool.

Engrams difference: your memory moves with you. Switch from Claude to ChatGPT to Codex — same decisions, same context, same project state.

Category 2

Agent memory infrastructure

Mem0, Zep, Letta, Cognee. APIs and SDKs for developers building AI agents. Powerful, but you need to write code to use them.

Engrams difference: no code required. Add a URL to your AI tool, and memory works. Structured types (decisions, tasks, learnings) are built in — not something you design yourself.

Category 3

Cross-platform project memory

This is where Engrams lives. One memory layer that works across Claude, ChatGPT, Gemini, Codex, Cursor, and Lovable. Share projects with collaborators. Track decisions, tasks, and handoffs.

No other product occupies this category. Platform memory is siloed. Developer infra requires code. Engrams is the neutral layer between them.

Why it matters.

The better each AI platform's memory gets, the more you want to use multiple platforms. Claude Code for coding. ChatGPT for research. Gemini for analysis. But each one forgets what the others know.

Anthropic won't build memory that helps ChatGPT. OpenAI won't build memory that helps Claude. It's not a capacity problem — it's a business structure problem. No platform will solve it.

Engrams sits outside the platforms. Same project, same decisions, same context — regardless of which AI you're in.

Get started →