Deploy Deploy and Host Plandex AI Coding Agent on Railway
Self-host Plandex: 2M token context, plan version control, BYO API keys.
Just deployed
/var/lib/postgresql/data
plandexai/plandex-server:latest
Just deployed
/plandex-server
Deploy and Host Plandex on Railway
Plandex is an open-source terminal AI coding agent with 10k+ GitHub stars built for what other AI coding tools can't handle — large, multi-file, real-world development tasks. 2M token context window, tree-sitter project maps for 30+ languages, a cumulative diff review sandbox, full plan version control with branching and rollback, and a BYO API key model that routes through 11+ providers from a single self-hosted server.
With Plandex Cloud winding down, self-hosting on Railway is now the primary path forward — your team's shared AI coding server, your API keys, your code, fully under your control.
What This Template Deploys
| Service | Purpose |
|---|---|
| Plandex Server | Go-based API server with embedded LiteLLM proxy — manages plans, context, conversation history, and multi-provider LLM routing on port 8099 |
| PostgreSQL 18 | Persistent database for plan metadata, user accounts, and migrations |
Plan Storage Volume (/plandex-server) | Persistent volume for plan file state — plan history and diffs survive every redeploy |
The Plandex CLI runs on developer machines and connects to this Railway server. LLM API keys stay on developer machines — never stored server-side.
About Hosting Plandex
Plandex is a client-server architecture: the CLI runs locally and the server handles plan orchestration, multi-file context management, version control, and model routing. Running the server in production requires PostgreSQL for metadata, a persistent volume for plan storage, and a public HTTPS endpoint for CLI connections. Without a managed host, you're configuring Docker Compose, PostgreSQL, SSL, and volume mounts manually.
Railway provisions all of it. This template deploys the Plandex server pre-connected to a Railway PostgreSQL instance with a persistent plan storage volume — your team connects immediately after deploy by pointing the CLI at your Railway domain.
Typical cost: ~$5–10/month on Railway's Hobby plan for the full stack. GitHub Copilot costs $10–19/user/month. Cursor costs $20/user/month. Plandex self-hosted on Railway gives your entire team a shared AI coding server at flat compute cost — you pay only your LLM API usage, not a per-seat subscription.
Deploy in Under 5 Minutes
- Click Deploy on Railway — Plandex server and PostgreSQL provision automatically
- Open your Railway-assigned URL — the server is live on port
8099 - Install the Plandex CLI on your local machine:
curl -sL https://plandex.ai/install.sh | bash - Point the CLI at your Railway server:
export PLANDEX_API_URL=https://your-railway-domain.up.railway.app plandex sign-in cdinto your project, runplandex new, and start building with AI
No server management. No Docker configuration. No SSL certificates to manage.
Common Use Cases
- Self-hosted Plandex Cloud replacement — Plandex Cloud is winding down; deploy on Railway to keep all your AI coding workflows running on infrastructure you control with no feature loss and no migration overhead
- Self-hosted alternative to Cursor — replace $20/user/month per-seat billing with a shared team server at flat compute cost; BYO API keys mean you control your LLM spend
- Large codebase refactoring and feature development — plan and execute changes across 50+ files with a 2M token context window and tree-sitter maps; where GitHub Copilot suggests snippets, Plandex executes multi-step implementations
- Team AI coding server with shared plan history — multiple developers connect to the same Railway-hosted Plandex server; share plans, review AI changes, and collaborate on AI-assisted development without per-seat licensing
- Autonomous debugging and command execution — Plandex runs terminal commands, detects errors, and iterates automatically in full-auto mode — or waits for your review at each step in controlled mode
- Multi-model AI coding workflows — mix Anthropic Claude, OpenAI, Google Gemini, DeepSeek, and Ollama in a single plan using model packs; optimise for speed, cost, or quality per task
Configuration
| Variable | Required | Description |
|---|---|---|
DATABASE_URL | ✅ Auto-injected | PostgreSQL connection string — injected from the Railway PostgreSQL service |
GOENV | Pre-set | development — skips email verification. Set to production for SMTP-verified signups |
LOCAL_MODE | Pre-set | 1 — disables email verification in development mode |
PLANDEX_BASE_DIR | Pre-set | /plandex-server — plan file storage directory, matches the persistent volume mount |
PORT | Pre-set | 8099 — Plandex server port, auto-configured |
API_HOST | Required in production | Your Railway public URL — required when GOENV=production |
SMTP_HOST | Optional | SMTP server for email verification in production mode |
SMTP_PORT | Optional | SMTP port — typically 587 |
SMTP_USER | Optional | SMTP username |
SMTP_PASSWORD | Optional | SMTP password |
For team deployments, set
GOENV=productionand configure SMTP variables to enable email-verified account creation. Indevelopmentmode withLOCAL_MODE=1, any email address signs in immediately without verification.
Plandex vs. AI Coding Alternatives
| Plandex (self-hosted) | GitHub Copilot | Cursor | Claude Code | |
|---|---|---|---|---|
| Cost | ~$5–10/mo flat | $10–19/user/mo | $20/user/mo | BYO API only |
| Per-seat billing | ✅ None | ❌ Yes | ❌ Yes | ✅ None |
| Context window | ✅ 2M tokens direct | ⚠️ Limited | ⚠️ Limited | ✅ Large |
| Multi-file execution | ✅ 50+ files | ⚠️ Inline only | ⚠️ Composer | ✅ Yes |
| Plan version control | ✅ Branch + rollback | ❌ No | ❌ No | ❌ No |
| Diff review sandbox | ✅ Yes | ❌ No | ⚠️ Limited | ❌ No |
| Self-hostable | ✅ Yes | ❌ No | ❌ No | ❌ No |
| BYO API keys | ✅ Yes | ❌ No | ⚠️ Partial | ✅ Yes |
| Multi-model support | ✅ 11+ providers | ❌ GitHub only | ✅ Yes | ❌ Anthropic only |
| Team shared server | ✅ Yes | ❌ Per-seat | ❌ Per-seat | ❌ Local only |
Dependencies for Plandex Hosting
- Railway account — Hobby plan (~$5–10/month) covers the full stack
- LLM API key per developer — Anthropic, OpenAI, Google, DeepSeek, or OpenRouter
Deployment Dependencies
- Plandex GitHub Repository — source and releases
- Plandex Documentation — CLI setup and server configuration
- Plandex Docker Hub — server image
- Railway Volumes Documentation — plan storage setup
Implementation Details
This template deploys plandexai/plandex-server:latest alongside Railway-managed PostgreSQL
over private networking. The Go server embeds a Python LiteLLM proxy subprocess routing
API calls to Anthropic, OpenAI, Google, xAI, OpenRouter, Ollama, and DeepSeek. LLM keys
are passed via CLI per session and never stored server-side. Plan files and version history
persist on the /plandex-server volume; user accounts and metadata persist in PostgreSQL.
Both survive redeploys and version updates independently.
Frequently Asked Questions
Plandex Cloud is winding down — how do I migrate to self-hosting?
Deploy this Railway template, set PLANDEX_API_URL to your Railway domain, and create a
new account. Existing Plandex Cloud plan history is not automatically migrated, but all new
plans run on your instance with identical functionality and full data ownership.
How much does Plandex self-hosted cost vs Cursor or GitHub Copilot? The Railway server runs at ~$5–10/month flat for the full stack. GitHub Copilot costs $10–19/user/month per seat. Cursor costs $20/user/month. For a 5-person team, that's $50–100/month in seat licensing versus ~$5–10/month flat on Railway plus your actual LLM API usage.
How is Plandex different from GitHub Copilot or Cursor? Copilot and Cursor are inline autocomplete tools — they suggest code as you type. Plandex plans and executes multi-step implementations across 50+ files with a 2M token context window, built-in plan version control, branching, rollback, and a diff review sandbox. It's designed for tasks where autocomplete falls short: large refactors, full feature builds, and complex debugging across a real codebase.
Do my API keys get stored on the Railway server? No. LLM API keys stay on developer machines and are passed through the CLI per session. The Plandex server never stores API credentials. Your code context is processed through the server for plan orchestration but is not retained beyond the active plan session.
Can multiple developers share the same Railway-hosted server? Yes. The Plandex server is designed for team use. Each developer installs the CLI, points it at the same Railway URL, creates their own account, and works on independent plans. Plan history is per-user by default with optional sharing.
How do I update Plandex to a newer version?
Update the image tag in your Railway service settings to the latest release (e.g.
plandexai/plandex-server:2.1.0) and redeploy. PostgreSQL data and plan storage volume
are unaffected. Update the CLI on developer machines separately via the install script.
Why Deploy and Host Plandex on Railway?
Railway is a singular platform to deploy your infrastructure stack. Railway will host your infrastructure so you don't have to deal with configuration, while allowing you to vertically and horizontally scale it.
By deploying Plandex on Railway, you get a production-ready shared AI coding server for your team — 2M token context, plan version control, multi-model routing, diff review sandbox, and full data ownership — at ~$5–10/month flat with no per-seat fees.
Template Content
plandexai/plandex-server:latest
plandexai/plandex-server:latest