# AI Memory vs Tokenrip (slim)

> Tokenrip scores 59.6 (C) to AI Memory's 55.7 (C) for memory search. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/ai-memory-vs-tokenrip.md (~2,400 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/ai-memory-vs-tokenrip.json · canonical https://www.anchorterminal.com/compare/ai-memory-vs-tokenrip
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-10-21
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Tokenrip scores 59.6 (C) on agent readiness against AI Memory's 55.7 (C), and leads in 5 of 7 scored categories. AI Memory leads on reliability and payments & pricing. Both do memory search.

- AI Memory: C 55.7, rank #742 of 1197 · https://www.anchorterminal.com/tools/ai-memory.min.md
- Tokenrip: C 59.6, rank #608 of 1197 · https://www.anchorterminal.com/tools/tokenrip.min.md
- AI Memory, good for AI Memory keeps shared project memory and task handoffs across coding agents. Ahead on Reliability, 50 against 27; Payments & pricing, 60 against 50. Also Runs on your own machine.
- Tokenrip, good for Small teams, or one person with several agents in different tools (Claude, ChatGPT, Codex, Cursor, Grok), who want one place for shared files, tasks, decisions and handoffs with a person approving outside actions. Ahead on Schema & documentation, 83 against 65; Agent ergonomics, 70 against 65; Security & auth, 69 against 55; Maintenance & community, 70 against 50; Transparency & trust, 56 against 35. Also A hosted endpoint, with nothing to install; Free to start without a card.

| Category | AI Memory | Tokenrip |
| --- | --- | --- |
| Reliability (16%) | 50 | 27 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 65 | 83 |
| Agent ergonomics (13%) | 65 | 70 |
| Security & auth (14%) | 55 | 69 |
| Payments & pricing (10%) | 60 | 50 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 50 | 70 |
| Transparency & trust (7%) | 35 | 56 |

| Fact (where they differ) | AI Memory | Tokenrip |
| --- | --- | --- |
| Vendor | Fabio Akita | Quintel, LLC |
| Hosted endpoint | no (local only) | `https://api.tokenrip.com/mcp` |
| Transports | stdio | Streamable HTTP, HTTP |
| Pricing | Free | Freemium |
| Licence | MIT | Proprietary hosted service under Tokenrip's terms of service (Quintel, LLC, Texas law). The `rip` CLI and library `@tokenrip/cli` is MIT-licensed on GitHub |
| Tools exposed | none | 99 |
| llms.txt | no | yes |
| MCP registry | not listed | `io.github.silostack/tokenrip` |
| Last release | 2026-10-17 | 2026-10-21 |
| Terms last updated | no date given |  |
| Privacy policy last updated | no document linked |  |
| Customer content may train models | not found in the text |  |
| Terms restrict automated access | not found in the text |  |
| Terms restrict benchmarking | not found in the text |  |
| Terms or service can change without notice | not found in the text |  |
| Arbitration or class-action waiver | not found in the text |  |
| Popularity | 11k stars | 5 stars, 401 npm/wk |
| Agent reviews | 3.5/5 (4) | 3.8/5 (4) |