--- title: LM Studio slug: guides/server/providers/lmstudio --- LM Studio support is currently experimental. If things aren't working as expected, please reach out to us on [Discord](https://discord.gg/letta)! Models marked as ["native tool use"](https://lmstudio.ai/docs/advanced/tool-use#supported-models) on LM Studio are more likely to work well with Letta. ## Setup LM Studio 1. Download + install [LM Studio](https://lmstudio.ai) and the model you want to test with 2. Make sure to start the [LM Studio server](https://lmstudio.ai/docs/api/server) ## Enabling LM Studio as a provider To enable the LM Studio provider, you must set the `LMSTUDIO_BASE_URL` environment variable. When this is set, Letta will use available LLM and embedding models running on LM Studio. ### Using the `docker run` server with LM Studio **macOS/Windows:** Since LM Studio is running on the host network, you will need to use `host.docker.internal` to connect to the LM Studio server instead of `localhost`. ```bash # replace `~/.letta/.persist/pgdata` with wherever you want to store your agent data docker run \ -v ~/.letta/.persist/pgdata:/var/lib/postgresql/data \ -p 8283:8283 \ -e LMSTUDIO_BASE_URL="http://host.docker.internal:1234" \ letta/letta:latest ``` **Linux:** Use `--network host` and `localhost`: ```bash docker run \ -v ~/.letta/.persist/pgdata:/var/lib/postgresql/data \ --network host \ -e LMSTUDIO_BASE_URL="http://localhost:1234" \ letta/letta:latest ``` ### Using `letta run` and `letta server` with LM Studio To chat with an agent, run: ```bash export LMSTUDIO_BASE_URL="http://localhost:1234" letta run ``` To run the Letta server, run: ```bash export LMSTIUDIO_BASE_URL="http://localhost:1234" letta server ``` To select the model used by the server, use the dropdown in the ADE or specify a `LLMConfig` object in the Python SDK. ## Model support FYI Models labelled as MLX are only compatible on Apple Silicon Macs The following models have been tested with Letta as of 7-11-2025 on LM Studio `0.3.18`. - `qwen3-30b-a3b` - `qwen3-14b-mlx` - `qwen3-8b-mlx` - `qwen2.5-32b-instruct` - `qwen2.5-14b-instruct-1m` - `qwen2.5-7b-instruct` - `meta-llama-3.1-8b-instruct` Some models recommended on [LM Studio](https://lmstudio.ai/docs/advanced/tool-use#supported-models) such as `mlx-community/ministral-8b-instruct-2410` and `bartowski/ministral-8b-instruct-2410` may not work well with Letta due to default prompt templates being incompatible. Adjusting templates can enable compatibility but will impact model performance.