> For the complete documentation index, see [llms.txt](https://djthorpe.gitbook.io/go-llm/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://djthorpe.gitbook.io/go-llm/readme.md).

# Introduction

go-llm puts language and speech models from many providers behind one interface, with a web UI, a command-line tool and a Go SDK.

* **Providers:** Ollama, LM Studio, OpenAI, Anthropic, Google Gemini, Mistral, DeepSeek, go-whisper and ElevenLabs.
* **What models do:** reply, call tools, search the web, set reminders, run agents, embed, read documents, speak, and transcribe or translate speech.
* **Connectors:** remote MCP servers, such as GitHub, Linear or Notion, whose tools your assistant can use.
* **Where:** the web UI, the `llm` command (with a terminal chat), the REST API, or your own Go program.

![The web UI: the models of the providers, and a model's details](https://raw.githubusercontent.com/mutablelogic/go-llm/main/testdata/frontend.png)

{% hint style="warning" %}
**Don't run go-llm on the internet.** It has no authentication yet, so anyone who can reach it can use your API keys, read your conversations, memory and files, and run its tools. Keep it on `localhost`, or behind a proxy that signs people in, or a VPN.
{% endhint %}

## Where to start

* [Features](/go-llm/features.md): what go-llm does.
* [Installation](/go-llm/installation.md): run it with Docker, and install the command line.
* [Getting Started](/go-llm/getting-started.md): add providers, and start a conversation.
* [Conversations and Tasks](/go-llm/conversations-and-tasks.md): chat, memory, and scheduled tasks.

The source is at [github.com/mutablelogic/go-llm](https://github.com/mutablelogic/go-llm), under the Apache License 2.0.


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