agent
Stakpak is an open-source DevOps agent written in Rust that runs continuously on your infrastructure to automate operational tasks. It uses AI models (via Anthropic, OpenAI, or Stakpak's API) with built-in security guardrails to prevent destructive operations.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | stakpak/agent |
| Owner | stakpak |
| Primary language | Rust |
| License | Apache-2.0 — OSI-approved |
| Stars | 1.6k |
| Forks | 167 |
| Open issues | 38 |
| Latest release | v0.3.88 (2026-06-10) |
| Last updated | 2026-07-06 |
| Source | https://github.com/stakpak/agent |
What agent is
Rust-based autonomous agent featuring mTLS encryption, dynamic secret substitution, network-level policy enforcement ('Warden Guardrails'), and sandboxed execution. Integrates with Docker, Kubernetes, CI/CD systems, and supports scheduled tasks, webhooks, and multi-channel notifications (Slack, Telegram, Discord) via Model Context Protocol (MCP).
Get the agent source
Clone the repository and explore it locally.
git clone https://github.com/stakpak/agent.gitcd agent# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- Requires Docker installation and 2GB+ RAM per host; swap strongly recommended on smaller Linux instances. Linux user services need linger configuration for persistence across logout.
- Preflight checks and 'doctor' command available to validate deployment readiness before autopilot startup; test in staging first given pre-1.0 status.
- Configuration split between config.toml (behavior/model/tools) and autopilot.toml (schedules/channels/notifications); requires careful profile design for multi-team setups.
- Secret handling uses dynamic substitution (LLM never sees actual values), but review guardrail effectiveness for your threat model; security posture depends on MCP endpoint isolation.
- Bulk approval workflow available but agent decisions require human review by default; auto-approval is configurable per profile and should be heavily gated for production infrastructure.
When to avoid it — and what to weigh
- Fully Managed PaaS Preference — If you need zero infrastructure management, prefer hosted solutions (Lambda, Cloud Functions) or don't want to operate a persistent agent on your machines.
- Minimal Rust Ecosystem Adoption — Limited native integrations beyond Docker, Kubernetes, and cloud CLIs. Requires custom tooling or MCP extensions for proprietary internal systems.
- Strict Air-Gapped Environments — Default setup uses external LLM providers (Anthropic, OpenAI) for model inference. Requires custom setup for truly offline operation; local model support not documented.
- Early-Stage Production Deployments — Project created December 2024; still pre-1.0. Stability and backwards compatibility guarantees are not yet established for mission-critical workflows.
License & commercial use
Apache License 2.0 (Apache-2.0). Permissive OSI-approved license allowing commercial use, modification, and distribution with liability waiver and patent grant. Requires retention of copyright/license notices and state material changes.
Apache 2.0 is a permissive open-source license that explicitly permits commercial use and commercial modification without restrictions. There is no requirement to purchase a commercial license or pay royalties. However, verify that any LLM provider credentials (Anthropic/OpenAI) used comply with your commercial use terms separately—this project does not grant those rights.
DEV.co evaluation signals
Editorial assessment — not user reviews. Directional, with an explicit confidence level.
| Signal | Assessment |
|---|---|
| Maintenance | Active |
| Documentation | Adequate |
| License clarity | Clear |
| Deployment complexity | Moderate |
| DEV.co fit | Good |
| Assessment confidence | Medium |
Agent claims mTLS encryption, dynamic secret substitution (LLM redaction), and 'Warden Guardrails' (network-level policy blocks). No published threat model, audit report, or exploit disclosure process documented. Secret substitution approach and guardrail enforcement effectiveness require independent review. MCP endpoint security depends on network isolation and credential storage. Agent runs with broad system access (Docker, cloud CLIs); privilege separation design not detailed. Privacy mode claims IP/AWS account ID redaction; scope unclear.
Alternatives to consider
Anthropic Claude MCP + Custom Orchestration
If you need Claude's capabilities without bundled agent runtime, integrate Claude via MCP directly with your existing orchestration (Kubernetes operators, Temporal, Step Functions). Gives you control over security boundaries and LLM conversation state.
HashiCorp Terraform + Waypoint + Cloud Automation Frameworks
For structured infrastructure code and GitOps-driven deployments, Terraform with Waypoint or cloud-native CI/CD (GitHub Actions, GitLab CI, Spinnaker) provides mature, audit-friendly, code-first alternatives without autonomous agent decision-making.
PagerDuty Automation + Custom Lambda/Cloud Functions
If you prefer managed on-call escalation and fine-grained function-level automation, PagerDuty event rules + serverless functions offer tighter audit trails and vendor support, though with less autonomous reasoning capability.
Build on agent with DEV.co software developers
Assess fit for on-premises DevOps automation, multi-cloud orchestration, and incident response. Start with staging deployment using preflight checks; review security guardrails and integration scope with your team.
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agent FAQ
Can I run Stakpak in an air-gapped environment?
Does Stakpak integrate with my existing secrets management (Vault, AWS Secrets Manager)?
What happens if the agent makes a mistake and damages production?
Is Stakpak suitable for regulated industries (SOC 2, HIPAA, PCI)?
Software developers & web developers for hire
DEV.co helps companies turn open-source tools like agent into production software. Our software development services cover the full lifecycle — architecture, web development, integration, and maintenance — delivered by software developers and web developers who ship. Engage our software development agency to implement or customize it for your ai frameworks stack.
Evaluate Stakpak for Your Infrastructure Automation
Assess fit for on-premises DevOps automation, multi-cloud orchestration, and incident response. Start with staging deployment using preflight checks; review security guardrails and integration scope with your team.