SynapseX Agents

Install the agent system anywhere.

Run SynapseX from a terminal, desktop console, CI workflow, or VM runtime. Configure LLM providers once, then create agents that can use models, MCP tools, quantum runtimes, and workspace automation.

Terminal installDirect downloads
SynapseX CLI
macOS / Linuxcurl -fsSL https://synapsex.ai/install | bash
Windows PowerShelliwr -useb https://synapsex.ai/install.ps1 | iex
Node.js fallbacknpm install -g synapsex-cli

Terminal Binaries

macOS Apple SiliconStandalone CLI for arm64 MacsmacOS IntelStandalone CLI for x64 MacsLinux x64Standalone CLI for amd64 serversLinux arm64Standalone CLI for arm64 serversWindows x64Standalone CLI executableAll releasesChecksums and versioned builds

Desktop And VM Runtime

Windows Desktop ConsoleNative console installermacOS Apple Silicon ConsoleDesktop console DMGmacOS Intel ConsoleDesktop console DMGVM agent runtimeInstall supervised agents on Linux hosts

SynapseX IDE

Dedicated local client for configuring, executing, and debugging AI agent swarms with telemetry overlays. Requires a Starter plan or above.

macOS Apple SiliconIDE .dmg for M1/M2/M3 MacsmacOS IntelIDE .dmg for Intel MacsIDE releasesVersioned builds and changelogs

SX CLI — Python Command-Line Toolkit

The Python-native sx CLI for agent dispatch, MCP orchestration, and workspace automation. Install via pip.

PyPI (pip install)pip install sx-cliCLI documentationFull command reference and guides

Which Plan Includes Which App

ApplicationFreeStarterProLabQuantum AIEnterprise
SynapseX Console
SynapseX IDE—
SX CLI (PyPI)
SynapseX Code CLI
VS Code Agent
MCP Tools + APIs

SynapseX IDE requires at least a Starter plan. All other tools are available on the Free tier.

Extensions And Integrations

VS Code agentWork with SynapseX agents inside your editorMCP toolsRoute agents through MCP servers and toolsnpm packageInstall as a global or project dependencyGitHub workflowsUse agents in CI once authenticated

Start An Agent With Your LLM Provider

Authenticatesynapsex login --api-key sk-synapsex-...
Configure LLMsynapsex providers setup openai --api-key-env OPENAI_API_KEY --model gpt-4.1 --default
Create agentsynapsex agent create researcher --provider openai --model gpt-4.1 --tools web mcp qcos
Runsynapsex run researcher --input 'Plan a quantum simulation workflow' --stream
Does it require Node.js?

The standalone binaries do not. The installer falls back to npm when a binary is unavailable.

Where are LLM keys stored?

The CLI stores provider names and environment variable references, not raw model provider keys.

What platforms are targeted?

macOS arm64/x64, Linux arm64/x64, and Windows x64 for the CLI; desktop installers are separate.