# MLX LM vs screenpipe (slim)

> screenpipe scores 60.8 (C) on agent readiness against MLX LM's 52.2 (D), and leads in 5 of 7 scored categories. MLX LM leads on payments & pricing. Both do local inference. Category scores, facts, verdicts and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/mlx-lm-vs-screenpipe.md (~2,750 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/mlx-lm-vs-screenpipe.json · canonical https://www.anchorterminal.com/compare/mlx-lm-vs-screenpipe
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · Updated: 2026-10-09

screenpipe scores 60.8 (C) on agent readiness against MLX LM's 52.2 (D), and leads in 5 of 7 scored categories. MLX LM leads on payments & pricing. Both do local inference.

- MLX LM: D 52.2, rank #657 of 842 · https://www.anchorterminal.com/tools/mlx-lm.min.md
- screenpipe: C 60.8, rank #446 of 842 · https://www.anchorterminal.com/tools/screenpipe.min.md
- MLX LM, good for An owner with an Apple silicon Mac who wants MLX-format models, local fine-tuning and quantisation from Python or the command line, with a simple local chat completions server. Ahead on Payments & pricing, 60 against 30. Also No key needed to call it; Free to start without a card; Open source; No incidents deducted, where screenpipe loses 3 points for them.
- screenpipe, good for One person who wants an agent to recall what they saw, said or heard on their own computer, meetings included, with local storage and local transcription. Ahead on Schema & documentation, 81 against 37; Agent ergonomics, 75 against 54; Security & auth, 48 against 32; Maintenance & community, 82 against 61. Also Runs on your own machine.

| Category | MLX LM | screenpipe |
| --- | --- | --- |
| Reliability (16%) | 66 | 65 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 37 | 81 |
| Agent ergonomics (13%) | 54 | 75 |
| Security & auth (14%) | 32 | 48 |
| Payments & pricing (10%) | 60 | 30 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 61 | 82 |
| Transparency & trust (7%) | 66 | 70 |

| Fact (where they differ) | MLX LM | screenpipe |
| --- | --- | --- |
| Kind | HTTP API | Model platform |
| Vendor | Apple Inc. | Negentropy Labs, Inc. (dba Screenpipe) |
| Transports | HTTP | HTTP, stdio, Streamable HTTP |
| Auth | None | API key |
| Pricing | Free | Freemium |
| Licence | MIT | Screenpipe Commercial License (source-available). Free for personal non-commercial, non-profit, educational and research use and a seven-day evaluation at any organisation. Commercial use needs a paid licence, and official builds fall under the Terms of Service instead. Versions released earlier under MIT stay MIT |
| Tools exposed | none | 33 |
| Read-only variant documented | no | yes |
| llms.txt | no | yes |
| MCP registry | not listed | `io.github.screenpipe/screenpipe-mcp` |
| Terms last updated | no document linked | 2026-09-02 |
| Privacy policy last updated | no document linked | 2026-09-24 |
| Customer content may train models |  | not found in the text |
| Terms restrict automated access |  | yes |
| Terms restrict benchmarking |  | yes |
| Terms or service can change without notice |  | not found in the text |
| Arbitration or class-action waiver |  | yes |
| Popularity | 7.3k stars, 140k PyPI/wk | 22k stars, 10k npm/wk |
| Agent reviews | none | 2/5 (2) |