Getting Started

Leviath runs LLM agents. What it adds over asking a model directly is structure. That means context that stays coherent across hundreds of tool calls, a different model for each phase of a task, and thousands of agents running at once in one process.

You'll go from nothing to a running agent in four steps:

flowchart LR
  A["Install<br/>lev"] --> B["Configure<br/>a provider"]
  B --> C["Run<br/>an agent"]
  C --> D["Read<br/>the result"]

Install

One command, any platform. It installs a prebuilt binary, so no Rust toolchain is needed.

macOS and Linux

bash

curl -fsSL https://leviath.dev/install.sh | sh

Windows

powershell

powershell -ExecutionPolicy Bypass -c "irm https://leviath.dev/install.ps1 | iex"

Check it worked:

bash

lev --version

That is the whole install. The options below are here when you want them, not because you need them.

Prefer Homebrew or Scoop

The one-liners above already use Homebrew on macOS when you have it. To manage the tap yourself:

bash

brew tap gemisis/leviath https://github.com/GEMISIS/leviath-dist.git
brew trust gemisis/leviath # Homebrew 6 requires trusting third-party taps
brew install leviath

On Windows, Scoop works the same way:

powershell

scoop bucket add leviath https://github.com/GEMISIS/leviath-dist.git
scoop install leviath

Switch to the beta or alpha channel

stable is the default and is what you want unless you have a reason to be ahead of it. To ride a faster channel, pass it to the installer:

bash

curl -fsSL https://leviath.dev/install.sh | sh -s -- --channel beta

The installer prints which channel it is about to install, so you can see you got the one you asked for.

Homebrew and Scoop name the channels as separate packages instead: install leviath-beta or leviath-alpha in place of leviath. See Releases and channels for what each channel means and how often it moves.

Build with Cargo, or embed the runtime

With Rust installed:

bash

cargo install leviath-cli                # released version from crates.io
cargo install --git https://github.com/GEMISIS/leviath.git --bin lev   # latest development build

To embed the runtime in your own application instead of running the CLI, add the leviath crate as a dependency.

Configure a provider

One provider is all you need: an API key from Anthropic, OpenAI, Google AI, or OpenRouter, or a local Ollama with no key at all.

bash

lev setup

The wizard detects keys already in your environment, sets a default model, and installs the pre-built agents.

Tip

No API key handy? Point Leviath at a local Ollama install and run entirely offline. lev setup will detect it. See Providers for the full list.

Script the setup instead

For CI, containers, or any headless machine:

bash

lev setup --non-interactive --anthropic-key "$ANTHROPIC_API_KEY" --install-agents

Two flags matter more than they look:

--install-agents installs the pre-built agents. Without it, non-interactive setup configures the provider and installs nothing.
--default-model <provider>/<model> sets the model every stage falls back to. Without a default model, a blueprint's own list decides, which may not pick your provider.

The other credential flags are --openai-key, --google-key, --openrouter-key, and --ollama-url. See lev setup for the full set.

Run an agent

First cd into the directory you want the agent working in. That directory becomes the run's workdir: its file tools are confined to it, and its output lands there.

Then pick one of the seven pre-built agents and give it a task:

bash

lev run coder --task "Build a CLI that converts CSV to JSON"
lev run deep-researcher --task "Survey the state of solid-state batteries"

A run spends real API tokens on your configured provider. For a free first try, point lev setup at a local Ollama instead.

Leave --task off and your editor opens on a template, which is easier than fighting shell quoting for anything longer than a sentence. It also takes a file: lev run coder --task ./brief.md.

lev run returns as soon as the work is accepted, not when it is done. The agent runs in the background and keeps going after you close the terminal, so the next section is how you check on it. Real tasks take minutes.

Read the result

Watch it live, or come back later. Either way:

bash

lev dash                  # live view of every run
lev ps                    # one-shot list: what is running, what finished
lev result <run-id>       # the answer, once a run is complete

Files the agent created are in the workdir you ran it from. See Outputs for structured answers.

Expect to be asked things along the way. The agent stops and waits before it writes a file or runs a shell command. Answer in lev dash (select the run, Enter, then i) or with lev respond, or pass --yolo to pre-approve everything for an unattended run.

Tip

Prefer a visual UI? Serve the daemon over HTTP and open The Lair, the browser console:

bash

lev serve --token <your-secret> --cors https://leviath.dev

It shows the same runs, context, logs, and interactions, from any browser.

On Windows the agent's shell is cmd.exe, not a POSIX shell, and Leviath tells the model so. See which shell you get, and Troubleshooting for PowerShell quoting and environment-variable syntax.

Create your own

bash

lev create my-agent        # scaffolds an agent directory
cd my-agent
lev run . --task "Your task here"

This writes an agent.leviath file you can customize: the stages, the model for each phase, and the context regions. Build your first agent walks through writing one from scratch, a stage at a time, and is the natural next thing to read.

Where to go next

The Agent catalog tours the seven pre-built agents and what each is for.
Build your first agent writes one from an empty directory, explaining each piece as it goes.
Overview explains what Leviath is doing underneath: stages, context regions, and the shared world your agents run in.
Agent blueprints covers what goes in an agent.leviath file, for building your own.
Troubleshooting has the common snags, and lev doctor diagnoses most of them for you.
Glossary defines every term these docs use in a particular way. Worth a skim if a page starts using a word you have not met.
Where Leviath sits is for deciding whether you want Leviath at all, and what to run alongside it.
Where Leviath fits covers driving Leviath from a tool you already use, like an orchestrator or a CI job.