Source Code:
src/gaia/cli.pyPlatform Support
Windows 11
Full GUI and CLI support
Linux
Full GUI and CLI support via source installation (Ubuntu/Debian)
Quick Start
- Windows
- Linux
- Follow the Quickstart to install GAIA
- Open PowerShell and run
gaiato launch the Agent UI, orgaia --clifor terminal chat - GAIA automatically starts Lemonade Server when needed, or start manually:
Top-Level Flags
Runninggaia with no subcommand launches the Agent UI by default:
Examples:
gaia chat --ui continues to work as an alias. The Agent UI requires an AMD Ryzen AI Max (Strix Halo) or an AMD Radeon GPU with ≥ 24 GB VRAM. If your device is not supported, a dismissible warning banner will appear in the UI.Agent step limit
Agents stop after a maximum number of reasoning/tool steps. The default is 50, applied consistently across the CLI, the Agent UI, and background runs.- Per-invocation: pass
--max-steps <n>to any agent command (e.g.gaia browse --max-steps 80).gaia blenderuses--steps <n>. - Fleet-wide: set the
GAIA_AGENT_MAX_STEPSenvironment variable to change the default for every agent at once, without per-command flags.
GAIA_AGENT_MAX_STEPS value (non-integer or ≤ 0) fails fast with an actionable error rather than silently capping agents.
Per-tool execution timeout
Each tool call is bounded so a hung tool (e.g. a stuck connector or network request) surfaces an actionable error instead of leaving the agent — and the UI — stuck indefinitely. The default is 180 seconds per tool.- Fleet-wide: set
GAIA_AGENT_TOOL_TIMEOUT(seconds) to change the default for every tool at once.
@tool(timeout=...) — for example image generation, which may need to download a model on first use. An invalid GAIA_AGENT_TOOL_TIMEOUT value (non-numeric or ≤ 0) fails fast with an actionable error rather than silently removing the guard.
Initialization
Init Command
New users start here! The
gaia init command is the easiest way to get GAIA running.
Available Profiles:
The
--profile flag accepts one of the following values (see
src/gaia/cli.py for the
canonical choices list):
The
talk, blender, jira, and docker agents all rely on the chat profile —
there is no dedicated profile for each. Run gaia init --profile chat (or all)
to prepare their dependencies.gaia llm quick queries use the global default model (Gemma-4-E4B-it-GGUF).- Local — Lemonade runs on the same machine (default)
- Remote — Lemonade runs on another machine; enable with
--remoteor by settingLEMONADE_BASE_URL
- Local Mode
- Remote Mode
- Checks Lemonade Server - Detects if installed and verifies version compatibility
- Installs/Upgrades Lemonade - Downloads and installs from GitHub releases (Windows/Linux only). Automatically uninstalls old version if version mismatch detected.
- Starts Server - Ensures Lemonade server is running, prompts to start if not
- Downloads Models - Pulls required models for the selected profile
- Verifies Setup - Tests each model with inference to detect corrupted downloads
Install Command
Install individual GAIA components.
Examples:
If a different version of Lemonade is already installed, you’ll be prompted to uninstall first.
Uninstall Command
Tiered cleanup of GAIA components. By default, the OS-native uninstall (Add or Remove Programs, drag to Trash,apt remove) only removes the app — user data in ~/.gaia/ is preserved. This command lets you escalate cleanup as far as you want.
Examples:
Kill Command
Stop running GAIA services.
Examples:
On Windows,
--lemonade also kills orphaned llama-server.exe and lemonade-tray.exe processes.Agent Command
Author, version, validate, and share GAIA agents.Developer workflow: init, version, test
Scaffold a new agent package, bump its version, and run the quality gates that publishing requires. The scaffold mirrors the canonical hub package layout (hub/agents/python/summarize/).
init scaffolds a package directory named after <name>:
- Python:
gaia-agent.yaml,pyproject.toml(with thegaia.agententry point), agaia_agent_<id>/package (__init__.py+agent.pyskeleton),tests/test_agent.py, andREADME.md. - C++:
gaia-agent.yaml,CMakeLists.txt,src/agent.cpp,tests/, andREADME.md.
version bumps the SemVer in gaia-agent.yaml and keeps pyproject.toml / __init__.py in sync.
test runs quality gates in two modes:
The publish workflow requires
--lint to pass; --live is recommended but not enforced.
Examples:
Lifecycle: configure, health, status
Manage an installed agent: set per-agent configuration, verify it loads, and inspect its state. Configuration is persisted under ~/.gaia/agents/<id>/config.json and survives restarts.
configure writes per-agent settings (e.g. a preferred model). --set values are JSON-decoded when possible (--set temperature=0.2 stores a number, --set verbose=true a boolean), otherwise kept as strings. Settings merge into the existing config by default; pass --replace to overwrite it wholesale, or --show to print the current config without changing it.
health verifies that an installed agent actually loads — its registration resolves and its entry point imports. It reports one of healthy, degraded (loads but something optional is off, e.g. a corrupt config), error (a required piece fails to load), or not_installed, and exits non-zero for error / not_installed so scripts can gate on it.
status aggregates installed version, health, config summary, and source for one agent — or every discovered agent when <id> is omitted.
Examples:
Distribution: pack, publish, login
Build a distributable wheel from a Python agent package, then dual-publish it to the Agent Hub (R2, the source for the Hub UI) and PyPI (the source for pip install).
pack runs python -m build --wheel against the package’s pyproject.toml, writing gaia_agent_<id>-<version>-py3-none-any.whl to dist/ and printing its SHA-256. Python agents only — native (C++) agents ship a CMake-built binary, not a wheel.
publish packs the wheel and uploads it to both targets. R2 receives a multipart POST (gaia-agent.yaml + wheel) authenticated with a Bearer token; PyPI receives a twine upload authenticated with an API token. Both enforce version immutability — bump the version with gaia agent version before re-publishing.
login stores publisher tokens in your OS keyring. Tokens may also be supplied via the GAIA_HUB_TOKEN and PYPI_TOKEN environment variables (useful in CI), which take precedence over the keyring.
The packaging toolchain (
build, twine) ships in the publish extra:
Installing a published agent
The two publish targets back two install paths, and both register the agent the same way — via thegaia.agent entry point, so the registry discovers it
automatically:
From PyPI (pip)
~/.gaia/agents/<id>/ (POST /api/agents/install, backed
by gaia.hub.installer). Use it when browsing the Hub UI; use pip install for
scripted or headless setups.
Automated PyPI publishing (CI)
.github/workflows/publish_agents.yml builds every production agent wheel and
publishes it to PyPI on a version tag (v*). Its matrix is derived from the
agents extra in setup.py (via util/list_agent_packages.py), so adding an
agent there is all it takes to start publishing it. The workflow uploads with
pypa/gh-action-pypi-publish
using the PYPI_API_TOKEN secret and skip-existing: true, so an unchanged
agent version is a no-op rather than an error — PyPI enforces version
immutability natively.
Sharing: export, import
Export every custom agent installed under ~/.gaia/agents/ into a single .zip bundle, and import a bundle produced on another machine.
Import options:
Examples:
Importing a bundle runs third-party Python code on your machine.
gaia agent import shows the agent IDs in the bundle and requires explicit y/yes confirmation (or --yes) before proceeding.Core Commands
LLM Direct Query
The fastest way to interact with AI models - no server management required.
Examples:
Chat Command
Start an interactive conversation or send a single message with conversation history.- No message: Starts interactive chat session
- Message provided: Sends single message and exits
Examples:
Specialized Agent Commands
Use focused agent commands when you want a smaller tool surface than the full chat agent.
Examples:
Prompt Command
Send a single prompt to a GAIA agent.
Examples:
Specialized Agents
Code Agent
Code Development
AI-powered code generation, analysis, and linting for Python/TypeScript
- Intelligent Language Detection (Python/TypeScript)
- Code Generation (functions, classes, unit tests)
- Autonomous Workflow (planning → implementation → testing → verification)
- Automatic Test Generation
- Iterative Error Correction
- Code Analysis with AST
- Linting & Formatting
Code Index
gaia-code index builds and queries a local FAISS-backed semantic index over a repository. Embeddings run on AMD NPU/GPU through Lemonade Server. Requires the [rag] extras.
index level: --repo, --max-files, --model, --base-url, --no-lemonade-check, --use-claude, --use-chatgpt.
→ Full Code Index Documentation
Blender Agent
3D Scene Creation
Natural language 3D modeling and scene manipulation
- Natural Language 3D Modeling
- Interactive Planning
- Object Management
- Material Assignment
- MCP Integration
Examples:
Interactive Blender mode:
Email Command
Email Triage
Read, organize, and reply to Gmail with all email content processed locally on your machine.
Setup: requires the Google connector. Run
gaia connectors connect google first; you’ll be asked to grant Gmail and Calendar scopes.
Privacy: all email body inference runs locally on Lemonade — the agent rejects any non-local LLM endpoint at startup.
→ Full Email Triage Agent Documentation
SD Command
Image Generation
Generate images using Stable Diffusion on Ryzen AI
Examples:
Fast, good-quality generation with the default (SDXL-Turbo, ~17s):
Talk Command
Voice Interaction
Speech-to-speech conversation with optional document Q&A
Examples:
Jira Command
Jira / Atlassian
Natural-language interface for Jira, Confluence, and Compass using your Atlassian credentials (REST API).
→ Full Jira Guide
Docker Command
Docker
Natural-language interface for Docker containerization.
→ Full Docker Guide
Summarize Command
Summarize meeting transcripts, emails, and PDFs.Telegram Command
Telegram Adapter
Bridge a Telegram bot to GAIA so you can chat with your agents from Telegram.
→ Telegram Adapter Guide
API Server
API Server
OpenAI-compatible REST API for VSCode and IDE integrations
Quick Start
- Start Lemonade with extended context:
- Start GAIA API server:
- Test the server:
Commands
- Start
- Status
- Stop
--host- Server host (default: localhost)--port- Server port (default: 8080).--debug- Enable debug logging--show-prompts- Log the prompts sent to the LLM for every request (useful for debugging)--streaming- Stream tokens to clients via SSE (OpenAI-style)--step-through- Pause between agent steps for manual inspection (development aid)
MCP Client
MCP Client
Connect GAIA agents to external MCP servers
~/.gaia/mcp_servers.json by default, or to a custom config file using --config.
Commands
Managing MCP servers (add / remove)
gaia mcp add and gaia mcp remove were removed in #977 — MCP servers are now
configured through the connectors framework. Run gaia connectors --help for the
current commands. gaia mcp list (below) still lists configured servers.gaia mcp list
List all configured MCP servers.
--config PATH- Custom config file path (default:~/.gaia/mcp_servers.json)
gaia mcp tools
List tools available from a configured MCP server.
<server-name>- Name of the server to query
--config PATH- Custom config file path (default:~/.gaia/mcp_servers.json)
gaia mcp test-client
Test connection to a configured MCP server.
<server-name>- Name of the server to test
--config PATH- Custom config file path (default:~/.gaia/mcp_servers.json)
MCP Bridge
MCP Bridge
Expose GAIA agents as MCP servers
Quick Start
Install MCP support:Commands
gaia mcp start options
gaia mcp test options
gaia mcp agent
request and, optionally, a --domain (e.g. jira,
docker) and free-form --context string to steer the orchestrator.
gaia mcp docker options
--port defaults to 8080.
→ Full MCP Integration Guide
Connectors
Connectors
OAuth providers, MCP-server connectors, and per-agent scope grants
Examples:
Configuration
GAIA keeps a small persistent config at~/.gaia/config.json (override the
location with the GAIA_CONFIG_DIR / GAIA_CONFIG_FILE environment variables).
Use it to set a default model once instead of passing --model on every
command.
Default model precedence
Forgaia chat, gaia llm, and gaia prompt, the model is resolved highest-wins:
- An explicit
--model <id>flag default_modelfrom~/.gaia/config.json- The command’s built-in default (
DEFAULT_MODEL_NAME)
gaia config set default_model <id> lets you skip --model entirely, while
--model still overrides it for a single run. For gaia chat, passing an
explicit --device selects a device-specific model and takes precedence over
the config default.
A missing config file is fine — GAIA falls back to built-in defaults. A
corrupt config file (invalid JSON) fails loudly with the file path and how
to recover, rather than silently reverting to defaults.
Using a custom config file
Point GAIA at a config file anywhere on disk — handy for per-project configs or keeping work and personal defaults separate. Two equivalent ways:--config wins over GAIA_CONFIG_FILE, which wins over the
default ~/.gaia/config.json.
Model Management
Download Command
Download all models required for GAIA agents with streaming progress.
Available Agents:
chat, code, talk, rag, blender, jira, docker, vlm, minimal, mcp
Examples:
List all models:
Pull Command
To download individual models, use the Lemonade Server CLI directly:Evaluation Commands
Evaluation Framework
Systematic testing, benchmarking, and model comparison
- Agent eval benchmark (scenario-based, end-to-end)
- Auto-fixing failures with Claude Code
- Report generation
- Performance-log visualization
Agent Eval
Agent Eval Benchmark
Scenario-based end-to-end testing of the GAIA Agent UI
Examples:
The eval agent requires Claude Code CLI (
claude command), an Anthropic API key, and the Agent UI backend running. See the Agent Eval Guide for full setup instructions.Email Throughput Benchmark
Measure end-to-end email-triage throughput (tokens/sec), time-to-first-token, and pipeline latency for an on-device model. Direct-drives the email agent over the committed synthetic corpus and harvests metrics from the agent’s per-step stats. The committed bar is ≥10 tok/s (snappy-UX stretch ~30 tok/s); the benchmark is non-gating — a miss is reported, not failed.Runs from a GAIA repo checkout (it drives the synthetic corpus in
tests/fixtures/email/) and needs Lemonade serving the target model. Run at most one gaia eval process at a time against a single Lemonade server.Performance Visualization
Plot llama.cpp server performance metrics from one or more log files. Plots are saved as images; pass--show to also display them interactively.
Examples:
Memory
Agent Memory Guide
Persistent second brain — remembers facts, preferences, and workflows across sessions
Commands
- status
- bootstrap
Show aggregate memory statistics.Output includes:
- Knowledge entries by category (fact, preference, error, skill) and context
- Conversation count and session history
- Tool call success rates and error counts
- Upcoming and overdue time-sensitive items
- Database size
Schedule
Run a prompt on a recurring cron schedule and route its output to a sink. Schedules are stored in~/.gaia/schedules.toml (hand-editable). The daemon action runs a long-lived scheduler that fires each enabled schedule when due.
Subcommands
add Options
Examples:
Sinks
A sink decides where each scheduled run’s output goes. Set it with--sink on add (default stdout):
Telegram example:
--skill is not yet implemented — running a skill-backed schedule raises an error pending the skill format (#888). Use --prompt for now.Utility Commands
Stats Command
View performance statistics from the most recent model run.Test Commands
Run various tests for development and troubleshooting.- TTS Tests
- ASR Tests
Test Types:Test streaming:Generate audio file:
tts-preprocessing- Test TTS text preprocessingtts-streaming- Test TTS streaming playbacktts-audio-file- Test TTS audio file generation
--test-text- Text to use for TTS tests--output-audio-file- Output file path (default: output.wav)
YouTube Utilities
Download transcripts from YouTube videos.--download-transcript- YouTube URL to download transcript from--output-path- Output file path (defaults to transcript_.txt)
Daemon Command
Manage the headless custody daemon — the always-on, single-instance background process that later Agent UI v2 phases (sidecar supervision,/host/v1/* custody,
the model-slot broker, the scheduler clock) mount into. This Phase-1 skeleton
provides single-instance identity, client-token auth, and lifecycle control.
Requires the daemon extras (fastapi/uvicorn/psutil) — install with
pip install "amd-gaia[ui]" (or [api]/[dev]). Running it on a base install
fails loudly with that instruction.
Cache Command
Inspect or clear GAIA’s on-disk caches (document-Q7 metadata, chat history, context7 library docs, etc.). Caches live under~/.gaia/cache/ (Windows:
%LOCALAPPDATA%/gaia/cache/).
Flags for
clear:
Examples:
Knowledge Command
Web research via Tavily, with SQLite result caching, a per-session credit budget, and an automatic keyless DuckDuckGo fallback when themcp-tavily
connector isn’t configured. See the Tavily connector.
Options:
Examples:
search automatically degrades to DuckDuckGo when the mcp-tavily connector isn’t
configured; extract requires Tavily and raises an actionable error otherwise. Configure
the connector with gaia connectors configure mcp-tavily --set TAVILY_API_KEY=tvly-....
Kill Command
Terminate processes running on specific ports.
Examples:
- Find the process ID (PID) bound to the specified port
- Forcefully terminate that process
- Provide feedback about success or failure
Diagnostics Command
Bundle system info and logs into a tarball for bug reports.
Examples:
- System info snapshot (
uname -a, distro, relevant env vars, all TCP listeners viass -tlnp) - State files from
~/.gaia/(config, session data — no chat content) - Log files:
~/.gaia/gaia.logand~/.gaia/electron-main.log(omitted with--no-logs)
Global Options
All commands support these global options:Troubleshooting
Connection Errors
Connection Errors
If you get connection errors, ensure Lemonade server is running:
Model Issues
Model Issues
Check available system memory (16GB+ recommended)Verify model compatibility:Pre-download models:Install additional models: See Features Guide
Audio Issues
Audio Issues
List available devices:Verify microphone permissions in Windows settingsTry different audio device indices if default doesn’t work
Performance
Performance
For optimal NPU performance:
- Disable discrete GPUs in Device Manager
- Ensure NPU drivers are up to date
- Monitor system resources during execution
See Also
Code Agent
Python/TypeScript development
Blender Agent
3D scene creation
Voice Interaction
Speech-to-speech conversation
API Server
OpenAI-compatible REST API
MCP Integration
Model Context Protocol
Evaluation Framework
Testing and benchmarking
Agent Memory
Persistent memory across sessions