agent
Ship your code, on autopilot. An open source agent that lives on your machines 24/7 and keeps your apps running. 🦀
Stakpak is an open-source autonomous AI agent designed to run continuously on your infrastructure to manage DevOps operations, application deployments, and infrastructure tasks. Built with security-first architecture, it features dynamic secret substitution, network-level guardrails (Warden), and mutual TLS encryption to prevent AI models from accessing credentials directly or executing destructive operations. The agent operates in autopilot mode with scheduled tasks, monitors application health 24/7, and integrates with Slack, Telegram, and Discord for notifications and interactive sessions.
Key Features
Use Cases
- 01Continuous infrastructure monitoring with automated health checks and deployment watches
- 02Safe AI-assisted DevOps operations with secret redaction and destructive action blocking
- 03Automated deployment pipelines with scheduled code generation and infrastructure updates
- 04Kubernetes cluster management and troubleshooting with built-in debugging playbooks
- 05Multi-team DevOps automation with separate profiles for monitoring, operations, and deployment workflows
- 06Secure MCP tool exposure to AI assistants with privacy mode and credential protection
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agent — FAQ
What is Stakpak agent?+
Stakpak is an autonomous AI agent that runs continuously on your servers to manage DevOps tasks, infrastructure monitoring, and application deployments. It uses LLM-powered automation with built-in security features like secret substitution and network guardrails to prevent destructive operations.
How do I install the Stakpak AI sub-agent?+
Install via the installation script (curl -sSL https://stakpak.dev/install.sh | sh), Homebrew (brew install stakpak/stakpak/stakpak), or download binaries from GitHub releases. After installation, run 'stakpak init' to analyze your tech stack, then 'stakpak up' to start the autopilot agent.
Does Stakpak require API keys?+
You can use Stakpak with a free Stakpak API key (no credit card), bring your own Anthropic/OpenAI/Gemini keys, or use local LLM endpoints like Ollama. For autopilot mode on remote VMs, Docker must be installed with 2GB+ RAM recommended.
Which AI clients work with Stakpak?+
Stakpak operates as a standalone autonomous agent with its own TUI, and also exposes MCP server and proxy modes for integration with MCP-compatible clients. It includes ACP (Agent Client Protocol) support for Zed editor integration with real-time AI chat and code analysis.
Is Stakpak agent free and open source?+
Yes, Stakpak is open source under the Apache 2.0 license and available on GitHub. The Stakpak API key option provides free LLM access without requiring a credit card, or you can use your own API keys from any supported provider.
What are the prerequisites for running Stakpak autopilot?+
Docker must be installed and accessible to the current user, with 2GB+ RAM recommended for reliable operation. Swap is strongly recommended on small Linux hosts, and Linux user services may require linger to survive logout.
How do I install agent?+
Open the source repository on GitHub and follow its README. agent is a agent — MCP Agents Market links you directly to the official repo.
Is agent free?+
agent is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.