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Open source alternative to Semrush and Ahrefs
This repository page has enough original analysis, source evidence, and comparison context to be treated as an indexable Git-Stars review.
100
review score
Problem solved
OpenSEO solves the high cost and bloat of traditional SEO tools by offering a modular, pay-per-use model where users only pay for the data they consume via DataForSEO. It also uniquely integrates with AI agents through MCP, allowing automated SEO workflows that are not possible with closed-source tools.
Deployment reality
The available setup signal starts with: See docs/SELF_HOSTING_DOCKER.md for Docker setup or docs/SELF_HOSTING_CLOUDFLARE.md for Cloudflare setup.. Treat this as a starting point, then ask Codex or Claude to inspect the README, environment variables, runtime version, and deployment target before production use.
Commercial use
The recorded license is MIT. This is a useful commercial-use signal, but teams should still verify license text, dependencies, model/API terms, and trademark constraints.
Capability ceiling
Developers can build custom SEO dashboards, automated rank tracking, competitor analysis, and site audit pipelines. With AI agent integration, they can create agent-driven SEO research, content optimization, and reporting workflows. The ceiling includes fully autonomous SEO agents that can research keywords, monitor rankings, and suggest improvements without manual intervention.
Git-Stars is independent and not affiliated with GitHub or this project. Analysis may be AI-assisted and based on public repository metadata plus short README-derived summaries. We do not mirror full README files, docs, issues, or social comments.
every-app/open-seo is tracked as a TypeScript project in the MCP Server area. This evaluation combines public GitHub metadata, category signals, short source summaries, and Git-Stars editorial rules rather than copying project documentation.
Momentum check: the repository has 12k total stars, with +0 today, +0 this week, and +7.7k this month. These growth windows help distinguish durable adoption from short-lived visibility spikes.
Maintenance check: current activity is Moderate; the latest push was 63 days ago, and the open issue queue is 101, about 0.84% of total stars. Treat this as an adoption signal, not a substitute for engineering due diligence.
Adoption check: 1.4k forks and 12k watchers suggest how often the project is reused or followed. License signal: MIT. Always verify license compatibility before commercial or internal use.
Practical fit: this project is most relevant when you need TypeScript teams evaluating ecosystem-native tooling. Be cautious when you need a legal review, security audit, or production SLA.
Source check: Git-Stars currently has 2 explicit source reference(s) for this report and a recent growth signal of 7.7k. Follow the original GitHub repository for final install, security, and release information.
Analysis
ReadyOriginal problem, capability, and verdict guidance are available.
Sources
ReadyRepository metadata and README/source references are attached.
License
ReadyMIT is recorded for review.
Maintenance
ReadyRecent activity is visible in repository metadata.
Alternatives
ReadyEnough nearby projects exist for comparison.
Momentum
12k Stars
Reuse
1.4k Forks
Attention
12k Watchers
Maintenance
moderate
License
MIT
Open issues
101
OpenSEO is an open-source SEO tool that serves as a pay-as-you-go alternative to Semrush and Ahrefs, allowing users to control their own data and costs. It provides a modern, simple UI with focused workflows and integrates with AI agents via MCP and Agent Skills.
Key Features
- Best in class MCP and AI Skills for AI agent integration - Modern, simple UI with focused workflows instead of a bloated suite - No subscriptions; bring your own DataForSEO API key and pay only for what you use
MCP Server
Model Context Protocol servers, clients, and integrations
See docs/SELF_HOSTING_DOCKER.md for Docker setup or docs/SELF_HOSTING_CLOUDFLARE.md for Cloudflare setup.70
Health Score
Moderate
Commit Activity
Feb 27, 2026
Created
Aug 12, 2026
Last push
Star history will appear after daily syncs accumulate data.
Forks
Open
Watchers
every-app
GitHub profileaffaan-m/ECC
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
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open-webui/open-webui
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
✓
License
✓
Forked
~ Moderate
Maintained
Problem Solved
OpenSEO solves the high cost and bloat of traditional SEO tools by offering a modular, pay-per-use model where users only pay for the data they consume via DataForSEO. It also uniquely integrates with AI agents through MCP, allowing automated SEO workflows that are not possible with closed-source tools.
Capabilities
Developers can build custom SEO dashboards, automated rank tracking, competitor analysis, and site audit pipelines. With AI agent integration, they can create agent-driven SEO research, content optimization, and reporting workflows. The ceiling includes fully autonomous SEO agents that can research keywords, monitor rankings, and suggest improvements without manual intervention.
Bottom Line
OpenSEO is ideal for developers and small teams who want a cost-effective, customizable SEO tool with AI agent capabilities. It is not for those who prefer all-in-one, no-setup solutions or who are unwilling to manage their own DataForSEO API key. The key trade-off is lower upfront cost and flexibility versus the convenience of a fully managed service.