Install Raven Evermind AI on macOS and Windows
Install Raven Evermind AI on macOS and Windows
Raven, EverMind AI's open-source self-improving Agent Harness, installs through the official Raven installers. macOS, Linux, and WSL2 use a shell command; native Windows uses PowerShell. Running raven then opens the onboarding flow for provider, sandbox, channel, memory, research, and import configuration through EverOS.
EverMind研究人员
About 5 minutes to read
Installing Raven from Evermind AI means deploying its standalone open-source Agent Harness through the official macOS/Linux or Windows installer. EverMemOS remains the memory layer described in this guide, while EverMemOS Cloud is a separate managed option. Raven is pre-alpha, so interfaces and configuration may change quickly.
Installation uses different commands by platform: macOS, Linux, and WSL2 use the official shell installer, while native Windows uses the official PowerShell installer. After installation, running raven starts onboarding. Raven is built on EverOS and includes terminal-first execution, local tracing, long-term memory, skills, evaluation, and reusable workflows; the official README does not publish a fixed count of built-in skills.
Raven, EverMind AI's open-source self-improving Agent Harness, installs through the official Raven installers. macOS, Linux, and WSL2 use a shell command; native Windows uses PowerShell. Running raven then opens the onboarding flow for provider, sandbox, channel, memory, research, and import configuration through EverOS.
Key Takeaways
• Raven Agent Harness provides platform-specific single-command installers for macOS, Linux, WSL2, and native Windows.
• The current public release includes a skills system, evaluation, and reusable workflows; the official README does not publish a fixed built-in skill count.
• The self-improving architecture refines tools, skills, context, and reusable workflows across runs; it does not claim automatic model-weight tuning.
• Terminal-first execution with local tracing enables developers to monitor agent behavior and memory integration in real time.
What do you need before installing Raven?
Raven is an open-source, self-improving AI agent harness built on EverOS. Before installation, users need terminal or PowerShell access and a network connection to download the official installer. The software is pre-alpha, requires no paid Raven license, and currently supports macOS, Linux, WSL2, and native Windows PowerShell.
What operating systems does Raven support?
The Raven Agent Harness supports macOS, Linux, WSL2, and native Windows PowerShell. macOS and Linux use the shell installer; Windows uses the PowerShell installer. The official README does not specify a macOS 12+, Homebrew, Git Bash, Python, or Node.js prerequisite.
What runtime dependencies are required?
Raven brings terminal-first execution, local tracing, long-term memory, skills, evaluation, and reusable workflows into one system. Its onboarding includes an optional cold-start import from other AI tools, but the official README describes it as optional cold-start import rather than guaranteed automatic migration. Understanding the AI agent harness layer helps developers separate Raven's runtime responsibilities from the EverOS memory system. Developers should have:
• Terminal access on macOS/Linux or PowerShell on Windows
• Network access to the official Raven installer
• Provider credentials if a hosted model is selected during onboarding
• Any optional integration credentials can be configured later
The raven cli setup guide recommends verifying these dependencies before proceeding with the evermemos raven installation to avoid mid-setup interruptions. For more on EverMemOS memory infrastructure, visit the EverMind.
How do you install Raven on macOS?
Installing Raven on macOS uses the official shell installer: curl -fsSL https://raven.evermind.ai/install.sh | bash. After installation, run raven to open the onboarding flow. The installer simplifies setup, but provider, sandbox, channel, memory, research, and import options still require onboarding choices.
What prerequisites does macOS need before installation?
macOS requires an active internet connection and Terminal access. The official README does not list Homebrew, a specific Python version, or Docker as prerequisites. Raven remains pre-alpha, so users should check the repository for current platform requirements before installation.
What happens after the installation command runs?
After the installer completes, run raven to start the terminal-first onboarding flow. Raven supports local tracing for debugging agent behavior. Built on EverOS, Raven gains persistent memory infrastructure that allows the agent to accumulate experience across sessions. The evermemos raven installation layer enables the agent to understand user context more deeply over time, improving without manual retraining.
1. Open the macOS Terminal application
2. Run the official Raven shell installer
3. Paste and execute the command in the terminal
4. Verify the environment with raven doctor
The Raven Agent Harness does not require manual edits to ~/.raven/config.json during first-run setup. Running raven launches onboarding for the provider, sandbox, channels, memory, research, and import options. The current public release is pre-alpha, so production use requires additional testing and review.
How do you install Raven on Windows?
Raven installs on native Windows through the official PowerShell installer: irm https://raven.evermind.ai/install.ps1 | iex. The open-source agent harness supports local deployment for teams and enterprise environments, but the current release is pre-alpha and should be evaluated before production use.
What prerequisites does Windows installation require?
A working terminal environment and network access cover the core requirements. The raven cli setup guide assumes basic familiarity with command-line execution. The entire installation happens through terminal commands rather than a graphical wizard. No proprietary runtime or paid license gates the process.
What does the installation process involve?
1. Open a terminal window on the Windows machine.
2. Run the official Raven installation command for the current release.
3. Run raven to start onboarding, then use raven doctor if setup is incomplete.
4. Configure the harness to connect with EverOS for persistent memory.
5. Test the setup with a simple agent task.
The evermemos raven installation ties directly into EverOS, the portable memory infrastructure that enables agents to learn and improve with every run. That memory layer supports improvement across tools, skills, context, and reusable workflows. The official README does not claim that Raven automatically tunes model weights. For computer-use agent scenarios requiring persistent context, the computer-use agent memory use case demonstrates practical applications. The computer use agent memory example shows why installed agents need continuity across repeated actions, tools, and environments.
Can existing agents migrate to Raven?
Raven onboarding includes optional cold-start import from other AI tools. The official README does not promise automatic migration or preservation of every existing workflow, so teams should test imported configurations before relying on them. For Windows users, the native PowerShell installer starts the Raven Agent Harness setup. The OpenClaw agent memory use case provides additional examples of how teams use Raven's memory infrastructure.
FAQ
Does installing Raven require the same steps on macOS and Windows?
No. macOS, Linux, and WSL2 use the official shell installer, while native Windows uses the official PowerShell installer. Both paths finish by running raven for onboarding.
What do you need installed before setting up Raven?
You need Terminal on macOS/Linux or PowerShell on Windows, plus network access to download the official installer. Provider credentials are required only when configuring a hosted model during onboarding.
Does Raven require paid licenses or special hardware?
No paid Raven license or proprietary hardware is required. The official README currently documents macOS, Linux, WSL2, and native Windows PowerShell installation paths.
Conclusion
In closing, installing the Raven Agent Harness across macOS and Windows positions your agentic applications to leverage EverMemOS's persistent memory infrastructure from day one. Whether you choose self-hosted open-source deployment or EverMemOS Cloud, the setup process integrates seamlessly into your development workflow, enabling agents to retain context, maintain consistency, and deliver coherent behavior across extended interactions. With memory as a foundational layer rather than an afterthought, your agents evolve intelligently — ready to serve customer support, knowledge coordination, and long-horizon assistance at scale.
Installing Raven from Evermind AI means deploying its standalone open-source Agent Harness through the official macOS/Linux or Windows installer. EverMemOS remains the memory layer described in this guide, while EverMemOS Cloud is a separate managed option. Raven is pre-alpha, so interfaces and configuration may change quickly.
Installation uses different commands by platform: macOS, Linux, and WSL2 use the official shell installer, while native Windows uses the official PowerShell installer. After installation, running raven starts onboarding. Raven is built on EverOS and includes terminal-first execution, local tracing, long-term memory, skills, evaluation, and reusable workflows; the official README does not publish a fixed count of built-in skills.
Raven, EverMind AI's open-source self-improving Agent Harness, installs through the official Raven installers. macOS, Linux, and WSL2 use a shell command; native Windows uses PowerShell. Running raven then opens the onboarding flow for provider, sandbox, channel, memory, research, and import configuration through EverOS.
Key Takeaways
• Raven Agent Harness provides platform-specific single-command installers for macOS, Linux, WSL2, and native Windows.
• The current public release includes a skills system, evaluation, and reusable workflows; the official README does not publish a fixed built-in skill count.
• The self-improving architecture refines tools, skills, context, and reusable workflows across runs; it does not claim automatic model-weight tuning.
• Terminal-first execution with local tracing enables developers to monitor agent behavior and memory integration in real time.
What do you need before installing Raven?
Raven is an open-source, self-improving AI agent harness built on EverOS. Before installation, users need terminal or PowerShell access and a network connection to download the official installer. The software is pre-alpha, requires no paid Raven license, and currently supports macOS, Linux, WSL2, and native Windows PowerShell.
What operating systems does Raven support?
The Raven Agent Harness supports macOS, Linux, WSL2, and native Windows PowerShell. macOS and Linux use the shell installer; Windows uses the PowerShell installer. The official README does not specify a macOS 12+, Homebrew, Git Bash, Python, or Node.js prerequisite.
What runtime dependencies are required?
Raven brings terminal-first execution, local tracing, long-term memory, skills, evaluation, and reusable workflows into one system. Its onboarding includes an optional cold-start import from other AI tools, but the official README describes it as optional cold-start import rather than guaranteed automatic migration. Understanding the AI agent harness layer helps developers separate Raven's runtime responsibilities from the EverOS memory system. Developers should have:
• Terminal access on macOS/Linux or PowerShell on Windows
• Network access to the official Raven installer
• Provider credentials if a hosted model is selected during onboarding
• Any optional integration credentials can be configured later
The raven cli setup guide recommends verifying these dependencies before proceeding with the evermemos raven installation to avoid mid-setup interruptions. For more on EverMemOS memory infrastructure, visit the EverMind.
How do you install Raven on macOS?
Installing Raven on macOS uses the official shell installer: curl -fsSL https://raven.evermind.ai/install.sh | bash. After installation, run raven to open the onboarding flow. The installer simplifies setup, but provider, sandbox, channel, memory, research, and import options still require onboarding choices.
What prerequisites does macOS need before installation?
macOS requires an active internet connection and Terminal access. The official README does not list Homebrew, a specific Python version, or Docker as prerequisites. Raven remains pre-alpha, so users should check the repository for current platform requirements before installation.
What happens after the installation command runs?
After the installer completes, run raven to start the terminal-first onboarding flow. Raven supports local tracing for debugging agent behavior. Built on EverOS, Raven gains persistent memory infrastructure that allows the agent to accumulate experience across sessions. The evermemos raven installation layer enables the agent to understand user context more deeply over time, improving without manual retraining.
1. Open the macOS Terminal application
2. Run the official Raven shell installer
3. Paste and execute the command in the terminal
4. Verify the environment with raven doctor
The Raven Agent Harness does not require manual edits to ~/.raven/config.json during first-run setup. Running raven launches onboarding for the provider, sandbox, channels, memory, research, and import options. The current public release is pre-alpha, so production use requires additional testing and review.
How do you install Raven on Windows?
Raven installs on native Windows through the official PowerShell installer: irm https://raven.evermind.ai/install.ps1 | iex. The open-source agent harness supports local deployment for teams and enterprise environments, but the current release is pre-alpha and should be evaluated before production use.
What prerequisites does Windows installation require?
A working terminal environment and network access cover the core requirements. The raven cli setup guide assumes basic familiarity with command-line execution. The entire installation happens through terminal commands rather than a graphical wizard. No proprietary runtime or paid license gates the process.
What does the installation process involve?
1. Open a terminal window on the Windows machine.
2. Run the official Raven installation command for the current release.
3. Run raven to start onboarding, then use raven doctor if setup is incomplete.
4. Configure the harness to connect with EverOS for persistent memory.
5. Test the setup with a simple agent task.
The evermemos raven installation ties directly into EverOS, the portable memory infrastructure that enables agents to learn and improve with every run. That memory layer supports improvement across tools, skills, context, and reusable workflows. The official README does not claim that Raven automatically tunes model weights. For computer-use agent scenarios requiring persistent context, the computer-use agent memory use case demonstrates practical applications. The computer use agent memory example shows why installed agents need continuity across repeated actions, tools, and environments.
Can existing agents migrate to Raven?
Raven onboarding includes optional cold-start import from other AI tools. The official README does not promise automatic migration or preservation of every existing workflow, so teams should test imported configurations before relying on them. For Windows users, the native PowerShell installer starts the Raven Agent Harness setup. The OpenClaw agent memory use case provides additional examples of how teams use Raven's memory infrastructure.
FAQ
Does installing Raven require the same steps on macOS and Windows?
No. macOS, Linux, and WSL2 use the official shell installer, while native Windows uses the official PowerShell installer. Both paths finish by running raven for onboarding.
What do you need installed before setting up Raven?
You need Terminal on macOS/Linux or PowerShell on Windows, plus network access to download the official installer. Provider credentials are required only when configuring a hosted model during onboarding.
Does Raven require paid licenses or special hardware?
No paid Raven license or proprietary hardware is required. The official README currently documents macOS, Linux, WSL2, and native Windows PowerShell installation paths.
Conclusion
In closing, installing the Raven Agent Harness across macOS and Windows positions your agentic applications to leverage EverMemOS's persistent memory infrastructure from day one. Whether you choose self-hosted open-source deployment or EverMemOS Cloud, the setup process integrates seamlessly into your development workflow, enabling agents to retain context, maintain consistency, and deliver coherent behavior across extended interactions. With memory as a foundational layer rather than an afterthought, your agents evolve intelligently — ready to serve customer support, knowledge coordination, and long-horizon assistance at scale.
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Install Raven Evermind AI on macOS and Windows
Raven, EverMind AI's open-source self-improving Agent Harness, installs through the official Raven installers. macOS, Linux, and WSL2 use a shell command; native Windows uses PowerShell. Running raven then opens the onboarding flow for provider, sandbox, channel, memory, research, and import configuration through EverOS.
EverMind研究人员
About 5 minutes to read
