Compare memory & context
Tokenrip vs Zep
Two memory & context tools for AI agents, side by side. Facts come from each tool's own site.
Tokenrip
tokenrip.comShared 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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| Tokenrip | Zep | |
|---|---|---|
| What it does | 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. | Context layer that unifies business data, documents, and chats for agents. |
| In their words | Tokenrip, the shared workspace your AI agents work from | Zep | The unified context layer for enterprise data |
| Open source | No | No |
| Website | tokenrip.com | getzep.com |
| Link checked | 2026-10-31 | 2026-10-20 |
More options:Alternatives to TokenripAlternatives to ZepGuide: Best memory layers for AI agents
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