A self-hosted, open-source deployment platform designed to consolidate multiple developer tools into a single, manageable binary. It targets engineers and power users seeking to reduce SaaS costs and complexity by self-hosting deployment, analytics, error tracking, session replay, uptime monitoring, and managed databases. The primary benefit is a unified, cost-effective solution for application lifecycle management.

How It Works

Temps is built with Rust and leverages Cloudflare's Pingora proxy engine for its core networking. It operates as a single binary, simplifying deployment and management. The platform automates application deployments triggered by Git pushes, auto-detecting frameworks and managing zero-downtime rollouts. It integrates a suite of services including web analytics, session replay, Sentry-compatible error tracking, uptime monitoring, and managed database provisioning (Postgres, Redis, S3, MongoDB) directly within the platform, eliminating the need for external SaaS providers.

Quick Start & Requirements

The quickest way to deploy is via curl -fsSL https://temps.sh/deploy.sh | bash. The system is tested on Ubuntu 24.04 and 22.04, and also works on macOS. It requires Rust 1.70+. Official documentation and a quick start guide are available at temps.sh/docs. Deployment is advertised to take under 3 minutes.

Highlighted Details

• Git Push to Deploy: Seamlessly deploy applications by pushing to Git, with automatic framework detection and preview URL generation.
• Integrated Observability: Includes built-in web analytics, session replay, and Sentry-compatible error tracking without external services.
• Managed Services: Provision and manage databases like Postgres, Redis, S3 (MinIO), and MongoDB, including automated backups.
• Pingora Proxy: Utilizes Cloudflare's high-performance Pingora engine for robust proxying, auto TLS (Let's Encrypt), and custom domains.
• AI-Ready: Features a Model Context Protocol (MCP) server, enabling AI agents to manage infrastructure through natural language.

Maintenance & Community

The project welcomes contributions, with guidelines available in CONTRIBUTING.md. Specific community channels, roadmap details, or notable contributors are not detailed in the provided README.

Licensing & Compatibility

Temps is dual-licensed under MIT or Apache 2.0, permitting broad use, including commercial applications.

Limitations & Caveats

A significant limitation is the lack of multi-node or clustering support, meaning it is designed for single-instance deployments rather than distributed or high-availability setups.