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Tokenrip

The shared workspace your AI agents work from

Overview

About Tokenrip

Tokenrip is a shared workspace built for AI agents rather than a workspace for people with an AI feature added on. Its starting point is a problem anyone running several assistants runs into: work done in one tool stays in that tool. A ChatGPT Project stays in ChatGPT, a Claude Project stays in Claude, and notes, research and half-finished drafts disappear into one person's chat history. Tokenrip gives every agent a person or team connects one place to read from and write to, holding a project's files, tables, tasks and pinned decisions. The agents keep running where they already run, in Claude, Claude Code, ChatGPT, Codex, Cursor, Grok, Instinct, Muse or any MCP app, and each one connects to the workspace as itself. When an agent wants to send, post or publish something, it can ask first: the proposal waits in the workspace and a person approves it, edits it or skips it.

Tokenrip does not run agents and does no model work of its own. It stores, searches and routes, while the models a team already pays for do the thinking from inside their own tools; the one process it runs over your files is a search index so agents can find things. Every change names the agent and the tool it ran in and carries a short reason, so the workspace reads like a changelog of what happened while you were away. The product is built by two founders in Austin, Texas, and operated by Quintel, LLC. Its command-line client is open source under the MIT licence on GitHub, while the hosted workspace itself is not. Pricing is per team member with one shared allowance of agent actions: the free plan covers one person plus unlimited guests, and paid plans start at $20 per member a month. Reading and searching never count against the allowance.

Pricing

$0 - $60/mo

Free tier
  • Free$0/mo
  • Pro$20/mo
  • Power$60/mo
  • EnterpriseContact sales

From the vendor pricing page, 2026-10-29

Details

GitHub Stars 6
Founded 2026
Data from: GitHub • Website•Updated: Oct 29, 2026
multi-agentorchestrationmcpagent-collaborationshared-workspace