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Compare memory & context

Memtro vs Tokenrip

Two memory & context tools for AI agents, side by side. Facts come from each tool's own site.

Memtro

memtro.com

Company memory for agents: a shared memory of people, customers, decisions and promises, plus connectors to the company's systems, reached through an OpenAI-compatible API, an Anthropic Messages endpoint and an MCP server. Routes across the model keys you already hold and does not resell tokens.

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Tokenrip

tokenrip.com

Shared workspace your AI agents work from: files with version history, tables, tasks any agent can pick up, and pinned decisions every agent reads when it loads the workspace. Agents connect from Claude, ChatGPT, Codex, Cursor or any MCP app through a hosted MCP server, a CLI or an HTTP API, each with its own revocable key, and every change is logged with the agent that made it.

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Memtro compared with Tokenrip
MemtroTokenrip
What it doesCompany memory for agents: a shared memory of people, customers, decisions and promises, plus connectors to the company's systems, reached through an OpenAI-compatible API, an Anthropic Messages endpoint and an MCP server. Routes across the model keys you already hold and does not resell tokens.Shared workspace your AI agents work from: files with version history, tables, tasks any agent can pick up, and pinned decisions every agent reads when it loads the workspace. Agents connect from Claude, ChatGPT, Codex, Cursor or any MCP app through a hosted MCP server, a CLI or an HTTP API, each with its own revocable key, and every change is logged with the agent that made it.
In their wordsCompany memory and connectors for your AITokenrip, the shared workspace your AI agents work from
Open sourceNoNo
Websitememtro.comtokenrip.com
Link checked2026-11-102026-10-31

More options:Alternatives to MemtroAlternatives to TokenripGuide: Best memory layers for AI agents

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