# How to Deploy PrimeAgent in a Production Environment: A Complete 9-Step Guide

> Deploy PrimeAgent to production with our 9-step guide. Learn to use the signed installer, configure systemd services, and enable headless JSON/RPC mode for automated workloads.

- Repository: [Prime Intellect/prime-agent](https://github.com/PrimeIntellect-ai/prime-agent)
- Tags: how-to-guide
- Published: 2026-09-08

---

**Deploy PrimeAgent to production by using the signed installer, configuring a systemd service with isolated credentials, and enabling headless JSON/RPC mode for automated workloads.**

PrimeAgent is a self-improving coding and research harness from PrimeIntellect that combines a persistent Python REPL, a daemon-backed background service, and a portable command-line interface. This guide walks through deploying PrimeAgent in a production environment based on the official source code at `PrimeIntellect-ai/prime-agent`.

## Understanding PrimeAgent's Architecture

Before deploying, it helps to understand the core components you'll be configuring.

| Component | Purpose | Source Location |
|-----------|---------|-----------------|
| **Installer** ([`install.sh`](https://github.com/PrimeIntellect-ai/prime-agent/blob/main/install.sh)) | Downloads signed releases and verifies SHA-256 checksums | [`install.sh`](https://github.com/PrimeIntellect-ai/prime-agent/blob/main/install.sh) |
| **Runtime wrapper** ([`prime-agent.sh`](https://github.com/PrimeIntellect-ai/prime-agent/blob/main/prime-agent.sh)) | Launches daemon, worker, and kernel processes | [`prime-agent.sh`](https://github.com/PrimeIntellect-ai/prime-agent/blob/main/prime-agent.sh) |
| **Daemon** | Maintains REPL state and schedules across disconnections | [`packages/agent/README.md`](https://github.com/PrimeIntellect-ai/prime-agent/blob/main/packages/agent/README.md) |
| **AI Provider layer** | Handles API keys for OpenAI, Anthropic, Vertex AI | [`packages/ai/README.md`](https://github.com/PrimeIntellect-ai/prime-agent/blob/main/packages/ai/README.md) |
| **TUI** | Optional terminal UI (disabled in headless mode) | [`packages/tui/README.md`](https://github.com/PrimeIntellect-ai/prime-agent/blob/main/packages/tui/README.md) |

The daemon is the critical production component—it keeps subagents and execution state alive even after your terminal session ends.

## Step 1: Download and Verify the Release

Start with the official installer. It fetches a versioned tarball, validates checksums, and installs to `/usr/local/bin` (or `$HOME/.local/bin` if unprivileged).

```bash
curl -fsSL https://app.primeintellect.ai/prime-agent/install.sh | sh

```

The [`install.sh`](https://github.com/PrimeIntellect-ai/prime-agent/blob/main/install.sh) script implements the verification logic directly—no manual checksum comparison needed.

## Step 2: Create an Isolated System User

Running as a dedicated user limits blast radius from code execution.

```bash
sudo useradd -r -m -d /opt/prime-agent -s /usr/sbin/nologin primeagent
sudo chown -R primeagent:primeagent /opt/prime-agent

```

The `-r` flag creates a system account without login privileges. The `-m` flag ensures the home directory exists for configuration storage.

## Step 3: Configure the Python Runtime Environment

The installer automatically creates `prime-agent-runtime/venv` inside the installation directory. For external control, create your own:

```bash
python3 -m venv /opt/prime-agent/venv
/opt/prime-agent/venv/bin/pip install --upgrade pip

```

PrimeAgent detects available virtualenvs at startup via the runtime wrapper ([`prime-agent.sh`](https://github.com/PrimeIntellect-ai/prime-agent/blob/main/prime-agent.sh)).

## Step 4: Secure Your AI Provider Credentials

The AI provider layer ([`packages/ai/README.md`](https://github.com/PrimeIntellect-ai/prime-agent/blob/main/packages/ai/README.md)) scans for standard environment variables: `OPENAI_API_KEY`, `ANTHROPIC_API_KEY`, `GOOGLE_APPLICATION_CREDENTIALS`.

Store credentials in a secure file—never commit them:

```bash
sudo mkdir -p /etc/prime-agent
sudo tee /etc/prime-agent/env <<'EOF'
OPENAI_API_KEY=sk-XXXXXXXXXXXXXXXXXXXX
ANTHROPIC_API_KEY=sk-ant-XXXXXXXXXXXXXXXXXXXX
EOF
sudo chmod 600 /etc/prime-agent/env
sudo chown primeagent:primeagent /etc/prime-agent/env

```

Load this file via systemd (Step 5) rather than shell profiles.

## Step 5: Create a systemd Service

This ensures the daemon starts on boot and recovers from crashes.

```ini

# /etc/systemd/system/prime-agent.service

[Unit]
Description=Prime Agent daemon
After=network.target

[Service]
Type=simple
User=primeagent
Group=primeagent
EnvironmentFile=/etc/prime-agent/env
ExecStart=/usr/local/bin/prime-agent daemon start
Restart=on-failure
LimitNOFILE=65536

[Install]
WantedBy=multi-user.target

```

Apply the configuration:

```bash
sudo systemctl daemon-reload
sudo systemctl enable --now prime-agent.service

```

The `LimitNOFILE=65536` setting accommodates high-throughput scenarios with many open file descriptors.

## Step 6: Complete Initial Authentication

Run once to bind your subscription or provider:

```bash
sudo -u primeagent prime-agent login

```

This creates `~/.prime-agent/auth.json` with your selected provider. For fully automated setups, pre-populate this file and verify health:

```bash
sudo -u primeagent prime-agent doctor --fix

```

## Step 7: Enable Headless Operation for Production Workloads

Disable the TUI and use JSON or RPC interfaces for CI/CD integration.

**JSON mode** (one-shot tasks):

```bash
cat <<'EOF' | sudo -u primeagent prime-agent --json > response.json
{
  "task": "refactor",
  "path": "/app/src",
  "instructions": "Apply Pylint-compatible formatting"
}
EOF

```

**RPC server** (persistent service):

```bash
sudo -u primeagent prime-agent rpc --port 7777

```

The RPC mode starts a JSON-RPC server suitable for containerized or reverse-proxied deployments.

## Step 8: Implement Monitoring and Logging

| Method | Command | Output Location |
|--------|---------|---------------|
| Daemon logs | `journalctl -u prime-agent.service -f` | systemd journal |
| Application logs | `~/.prime-agent/logs/daemon.log` | File system |
| Health check | `prime-agent status` | CLI/HTTP |

Expose `/health` by placing the RPC server behind nginx or another reverse proxy.

## Step 9: Maintain and Update

The built-in updater respects the same verification as initial installation:

```bash
sudo -u primeagent prime-agent update
sudo systemctl restart prime-agent

```

Always restart the service after updates to load the new binary.

## Summary

- **Install** via signed [`install.sh`](https://github.com/PrimeIntellect-ai/prime-agent/blob/main/install.sh) with automatic checksum verification
- **Isolate** with a dedicated system user and restricted permissions
- **Secure** credentials in `/etc/prime-agent/env` loaded by systemd
- **Daemonize** with a systemd service for automatic restarts
- **Automate** using `--json` or `rpc` modes without TUI overhead
- **Monitor** through systemd journal and built-in health endpoints
- **Update** safely with `prime-agent update` and service restart

## Frequently Asked Questions

### What are the minimum system requirements for PrimeAgent production deployment?

PrimeAgent requires a Linux environment with Python 3.10+, approximately 500MB disk space for the base installation, and sufficient RAM for your target models (typically 2-4GB minimum). The daemon itself is lightweight; resource consumption scales with active subagents and REPL sessions. Review [`packages/agent/README.md`](https://github.com/PrimeIntellect-ai/prime-agent/blob/main/packages/agent/README.md) for architecture-specific notes.

### Can PrimeAgent run in a containerized environment?

Yes. The headless JSON and RPC modes are designed for containers. Mount your credentials as secrets, expose the desired port for RPC mode, and omit the TUI package to reduce image size. The installer-based approach works in multi-stage builds—copy `/usr/local/bin/prime-agent` and the virtualenv into your final image.

### How do I rotate API keys without restarting the daemon?

Update `/etc/prime-agent/env` with new credentials, then run `sudo systemctl reload prime-agent.service`. The daemon reloads environment files on SIGUP or process restart. For zero-downtime rotation, maintain dual-key acceptance at your provider during overlap periods. The AI provider layer re-reads keys at connection initialization, not per-request.

### Is the TUI required for any production functionality?

No. The TUI ([`packages/tui/README.md`](https://github.com/PrimeIntellect-ai/prime-agent/blob/main/packages/tui/README.md)) is strictly optional and adds no runtime capabilities. Disable it implicitly by using `--json` or `rpc` subcommands, or explicitly by omitting the TUI package during custom builds. All core agent functionality persists without terminal UI dependencies.