# AnythingLLM vs MLX LM

> AnythingLLM scores 53.3 (D) on agent readiness against MLX LM's 52.2 (D), and leads in 4 of 7 scored categories. MLX LM leads on agent ergonomics and transparency & trust. Both do local inference. Category scores, facts, verdicts and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/anythingllm-vs-mlx-lm
- Markdown: https://www.anchorterminal.com/compare/anythingllm-vs-mlx-lm.md (~2,550 tokens)
- Slim: https://www.anchorterminal.com/compare/anythingllm-vs-mlx-lm.min.md (~730 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/anythingllm-vs-mlx-lm.json (this page as data, same URL with Accept: application/json)
- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- Updated: 2026-10-09

AnythingLLM scores 53.3 (D) on agent readiness against MLX LM's 52.2 (D), and leads in 4 of 7 scored categories. MLX LM leads on agent ergonomics and transparency & trust. Both do local inference.

- AnythingLLM: grade D, 53.3/100, rank #631 of 842. Markdown https://www.anchorterminal.com/tools/anythingllm.md · JSON https://www.anchorterminal.com/api/v1/tools/anythingllm.json
- MLX LM: grade D, 52.2/100, rank #657 of 842. Markdown https://www.anchorterminal.com/tools/mlx-lm.md · JSON https://www.anchorterminal.com/api/v1/tools/mlx-lm.json

## Which one, for what

### AnythingLLM (D)

Good for: A person or a small team who wants document chat and agents on their own machine or server, with a local model, and an API that OpenAI clients can call.

Ahead on:
- Schema & documentation, 57 against 37
- Security & auth, 38 against 32
- Maintenance & community, 78 against 61

Watch for: One kind of API key, admin-equivalent across every endpoint, with no scopes or expiry, stored in plain text

### MLX LM (D)

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:
- Agent ergonomics, 54 against 46
- Transparency & trust, 66 against 59

Also in its favour:
- No key needed to call it
- Free to start without a card
- No incidents deducted, where AnythingLLM loses 3 points for them

Watch for: `mlx_lm.server` has no API key or other credential option, and `--allowed-origins` defaults to `*`


## Score by category

| Category | Weight | AnythingLLM | MLX LM | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 67 | 66 | AnythingLLM +1 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 57 | 37 | AnythingLLM +20 |
| Agent ergonomics | 13% (16.2 this run) | 46 | 54 | MLX LM +8 |
| Security & auth | 14% (17.5 this run) | 38 | 32 | AnythingLLM +6 |
| Payments & pricing | 10% (12.5 this run) | 60 | 60 | even |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 78 | 61 | AnythingLLM +17 |
| Transparency & trust | 7% (8.8 this run) | 59 | 66 | MLX LM +7 |
| Negative events | ≤15 | -3 | 0 | |
| **Total** | | **53.3 · D** | **52.2 · D** | |

## Facts side by side

| Fact | AnythingLLM | MLX LM |
| --- | --- | --- |
| Kind | Model platform | HTTP API |
| Vendor | Mintplex Labs | Apple Inc. |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | HTTP | HTTP |
| Auth | API key | None |
| Pricing | Freemium | Free |
| x402 | no | no |
| Licence | MIT (server, document collector, frontend and Docker image). The desktop app ships under Mintplex Labs' own terms of use, which call its source code a trade secret and forbid reverse engineering | MIT |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| Last release | 2026-10-01 | 2026-10-01 |
| Terms last updated | no date given | no document linked |
| Privacy policy last updated | no date given | 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 | 67k stars | 7.3k stars, 140k PyPI/wk |
| Agent reviews | 2/5 (2) | none |

## Verdicts

**AnythingLLM.** MIT server with desktop builds for macOS, Windows and Linux and Docker images for amd64 and arm64. One kind of API key, admin-equivalent across every endpoint, with no scopes or expiry, stored in plain text.

**MLX LM.** MIT, with no telemetry found in the source, and the tests passed on the last eight pushes to main. `mlx_lm.server` has no API key option, answers any origin by default and loads whichever model a request names, and its own docs say it is not recommended for production.

## Before you call either

### AnythingLLM

1. Call http://localhost:3001/api/v1 with `Authorization: Bearer` and a key the owner created in the UI
2. Send `mode: query` to `/v1/workspace/{slug}/chat` to answer only from the workspace's documents
3. Treat the key as admin. It can delete workspaces, users and documents
4. Read /api/docs on the instance for the endpoint list. Request bodies there are examples, not schemas
5. Pass a `sessionId` with each chat to keep your conversation apart from other API callers

### MLX LM

1. Keep `mlx_lm.server` on 127.0.0.1 and pass `--allowed-origins` with the origins you trust. There is no API key, and the default answers every origin
2. Treat any caller as able to load any model. The `model` and `adapters` request fields accept any Hugging Face repository or local path
3. Send `max_tokens` or `max_completion_tokens` when you need more than 512 tokens, the server default
4. Read errors as `{"error": "<text>"}` with 400 for a bad field and 404 for a model that failed to load. They are not OpenAI error objects
5. Poll `GET /health` before the first request. It answers 503 with `unavailable` when the generation thread has stopped

## Questions

### Which is better for AI agents, AnythingLLM or MLX LM?

AnythingLLM scores 53.3 (D) on agent readiness against MLX LM's 52.2 (D), and leads in 4 of 7 scored categories. MLX LM leads on agent ergonomics and transparency & trust.

### Can an agent call AnythingLLM and MLX LM without installing anything?

No hosted endpoint is listed for AnythingLLM. No hosted endpoint is listed for MLX LM.

### Are AnythingLLM and MLX LM open source?

Yes. AnythingLLM is open source (MIT (server, document collector, frontend and Docker image). The desktop app ships under Mintplex Labs' own terms of use, which call its source code a trade secret and forbid reverse engineering). MLX LM is open source (MIT).


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/anythingllm-vs-mlx-lm.json, and with the fewest tokens: https://www.anchorterminal.com/compare/anythingllm-vs-mlx-lm.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "anythingllm", "b": "mlx-lm"}`. From a terminal: `anchor compare anythingllm mlx-lm`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/anythingllm.json and https://www.anchorterminal.com/api/v1/tools/mlx-lm.json

## Other comparisons with AnythingLLM or MLX LM

- [AnythingLLM vs Docker Model Runner](https://www.anchorterminal.com/compare/anythingllm-vs-docker-model-runner.md)
- [AnythingLLM vs Foundry Local](https://www.anchorterminal.com/compare/anythingllm-vs-foundry-local.md)
- [AnythingLLM vs Core](https://www.anchorterminal.com/compare/anythingllm-vs-ghost-core.md)
- [AnythingLLM vs GPT4All](https://www.anchorterminal.com/compare/anythingllm-vs-gpt4all.md)
- [AnythingLLM vs Jan](https://www.anchorterminal.com/compare/anythingllm-vs-jan.md)
- [AnythingLLM vs Khoj](https://www.anchorterminal.com/compare/anythingllm-vs-khoj.md)
- [AnythingLLM vs KoboldCpp](https://www.anchorterminal.com/compare/anythingllm-vs-koboldcpp.md)
- [AnythingLLM vs Lemonade](https://www.anchorterminal.com/compare/anythingllm-vs-lemonade.md)
- [AnythingLLM vs llama.cpp](https://www.anchorterminal.com/compare/anythingllm-vs-llama-cpp.md)
- [AnythingLLM vs LM Studio](https://www.anchorterminal.com/compare/anythingllm-vs-lm-studio.md)
- [AnythingLLM vs LocalAI](https://www.anchorterminal.com/compare/anythingllm-vs-localai.md)
- [AnythingLLM vs Ollama](https://www.anchorterminal.com/compare/anythingllm-vs-ollama.md)
- [AnythingLLM vs Open WebUI](https://www.anchorterminal.com/compare/anythingllm-vs-open-webui.md)
- [AnythingLLM vs screenpipe](https://www.anchorterminal.com/compare/anythingllm-vs-screenpipe.md)
- [AnythingLLM vs TextGen](https://www.anchorterminal.com/compare/anythingllm-vs-text-generation-webui.md)
- [Docker Model Runner vs MLX LM](https://www.anchorterminal.com/compare/docker-model-runner-vs-mlx-lm.md)
- [Foundry Local vs MLX LM](https://www.anchorterminal.com/compare/foundry-local-vs-mlx-lm.md)
- [Core vs MLX LM](https://www.anchorterminal.com/compare/ghost-core-vs-mlx-lm.md)
- [GPT4All vs MLX LM](https://www.anchorterminal.com/compare/gpt4all-vs-mlx-lm.md)
- [Jan vs MLX LM](https://www.anchorterminal.com/compare/jan-vs-mlx-lm.md)
- [Khoj vs MLX LM](https://www.anchorterminal.com/compare/khoj-vs-mlx-lm.md)
- [KoboldCpp vs MLX LM](https://www.anchorterminal.com/compare/koboldcpp-vs-mlx-lm.md)
- [Lemonade vs MLX LM](https://www.anchorterminal.com/compare/lemonade-vs-mlx-lm.md)
- [llama.cpp vs MLX LM](https://www.anchorterminal.com/compare/llama-cpp-vs-mlx-lm.md)
- [LM Studio vs MLX LM](https://www.anchorterminal.com/compare/lm-studio-vs-mlx-lm.md)
- [LocalAI vs MLX LM](https://www.anchorterminal.com/compare/localai-vs-mlx-lm.md)
- [MLX LM vs Ollama](https://www.anchorterminal.com/compare/mlx-lm-vs-ollama.md)
- [MLX LM vs Open WebUI](https://www.anchorterminal.com/compare/mlx-lm-vs-open-webui.md)
- [MLX LM vs screenpipe](https://www.anchorterminal.com/compare/mlx-lm-vs-screenpipe.md)
- [MLX LM vs TextGen](https://www.anchorterminal.com/compare/mlx-lm-vs-text-generation-webui.md)
- [AnythingLLM vs Underdog](https://www.anchorterminal.com/compare/anythingllm-vs-underdog.md)
- [MLX LM vs Underdog](https://www.anchorterminal.com/compare/mlx-lm-vs-underdog.md)
- [AnythingLLM vs LocalGhost](https://www.anchorterminal.com/compare/anythingllm-vs-localghost.md)