Gitea vs GitLab: The Self-Hosted Verdict
Gitea runs on a Raspberry Pi 3 with 2 CPU cores and 1GB RAM, making it ideal for lightweight self-hosted environments. GitLab requires significant infrastructure for its agentic software engineering model, offering deep compliance features that suit large-scale DevOps teams needing integrated audit
A Raspberry Pi 3 runs Gitea for small workloads, a constraint that defines the entire comparison. GitLab demands far more resources to support its "agentic software engineering" model, where teams orchestrate AI agents to execute tasks within strict guardrails. For self-hosted DevOps teams, this resource gap is the primary differentiator. Gitea remains lean and performs well on limited hardware, while GitLab requires significant infrastructure to handle complex deployment pipelines and distributed edge environments. If your server cannot spare two CPU cores and 1GB of RAM, Gitea is the only viable option here.
Resource Efficiency and Deployment
Gitea is written in Go and TypeScript, ensuring it works across all platforms supported by Go, including Linux, macOS, FreeBSD, OpenBSD, and Windows on x86, amd64, ARM, RISC-V 64, and PowerPC architectures. This cross-platform compatibility means you can deploy the service without complex configurations or dependencies, making it ideal for individual developers or small teams managing their own Git services. The installation process is straightforward, with an intuitive web-based interface that gets your Git service up and running quickly. You can host it on your own infrastructure, giving you complete autonomy over your code and data under the MIT license.
GitLab takes a different approach, positioning itself as an intelligent orchestration platform where planning, source control, and CI/CD exist on a single data plane. Projects, releases, and code share one source of truth, so your team and agents work from the same repository gates. Scanning, policies, and approvals run inside the pipeline, not beside it, meaning findings land directly in the merge request. This integration writes audit evidence automatically as changes move through the system. However, this depth comes at a cost. GitLab supports federal security standards and air-gapped deployment, but these features require a level of infrastructure that most small self-hosted teams simply do not have.
| Feature | Gitea | GitLab |
|---|---|---|
| Minimum Hardware | 2 CPU cores, 1GB RAM | Not specified (high) |
| Language | Go, TypeScript | Ruby/Rails (implied by ecosystem) |
| License | MIT | Mixed (Open Core) |
| AI Integration | MCP Server Support | Native Agent Orchestration |
| Package Registry | 20+ types (npm, Maven, etc.) | Integrated |
Workflow and Security Controls
Gitea Actions supports CI/CD functionality compatible with GitHub Actions, allowing users to write workflows in familiar YAML format and reuse existing plugins. It supports over 20 types of package management, including Cargo, Chef, Composer, Conan, Conda, Container, Helm, Maven, npm, NuGet, Pub, PyPI, RubyGems, Vagrant, and more. Code review supports both Pull Request and AGit workflows, letting reviewers browse code online and provide feedback while submitters modify code in response. The system includes user permission management, access control lists, and audit logging to protect your code. You can connect a Gitea instance to Model Context Protocol clients using the gitea-mcp server, which allows repositories, issues, and pull requests to be browsed and managed from an MCP-compatible chat interface.
GitLab emphasizes trust in the agentic era, ensuring that every agent action shows up in the audit trail with no black box. Policies, approvals, and scanning apply to human and agent changes alike, enforcing the same gates without exception. Organizations can make one annual commitment and steer spend across seat-based licenses and usage-based credits without re-procurement. One customer reported quadrupling the number of builds per night, improving build success from 60% to 90%, which allowed them to deliver new capabilities sooner with better quality. Another noted that integrating AI into the developer workflow freed up engineers to focus on higher-value problem solving. These metrics demonstrate real productivity gains, but they assume a scale that Gitea does not target.
The choice depends on whether you need raw speed and low overhead or deep integrated compliance. Gitea is clearly the winner for lightweight, self-hosted environments where you want full control without enterprise bloat. GitLab is the superior tool if you are running large-scale agentic workflows and need built-in regulatory compliance evidence. Which one fits your current infrastructure?