head to head · open source
readme-ai vs pg-aiguide
readme-ai has 3,005 GitHub stars, 296 forks, 57 open issues and last shipped yesterday. pg-aiguide has 1,881 stars, 120 forks, 8 open issues and last shipped 2 days ago. readme-ai leads on adoption by 60% (3,005 vs 1,881 stars). readme-ai is written in Python under MIT; pg-aiguide is written in Python under Apache-2.0. readme-ai has attracted 10% as many forks as stars, pg-aiguide 6%. readme-ai was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (ai, ai-agents, documentation), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
← all 20902 open source comparisons
Side by side
| readme-ai | pg-aiguide | |
|---|---|---|
| GitHub stars | ★ 3.0K | ★ 1.9K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-11-04 | 2026-11-03 |
| Forks | ⑂ 296 | ⑂ 120 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick readme-ai if
- You weight community size — 3.0K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick pg-aiguide if
- You want the pg-aiguide feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and pg-aiguide fits your workflow better
About readme-ai
Designed for simplicity, customization, and developer productivity. The metrics above are rendered with HyperWeave — an experimental SVG artifact layer for agents. Explore → Quick Links Intro Demo Features Quickstart Configuration Example Gallery Contributing Guidelines [!IMPORTANT] Explore the [Official Documentation][docs] for a complete list of features, customization options, and examples. Introduction ReadmeAI is a developer tool that automatically generates README files using a robust repository processing engine and advanced language models. Simply provide a URL or path to your codebase, and a well…
read the full readme-ai overview →
About pg-aiguide
pg aiguide AI optimized PostgreSQL expertise for coding assistants pg aiguide helps AI coding tools write dramatically better PostgreSQL code. It provides: Semantic search across the official PostgreSQL manual (version aware) AI optimized “skills” — curated, opinionated Postgres best practices used automatically by AI agents Extension ecosystem docs , starting with TimescaleDB, with more coming soon Use it as: Agent Skills via npx skills — works with Claude Code, Cursor, Codex, Gemini CLI, and 40+ other agents a public MCP server that can be used with any AI coding agent, or a Claude Code plugin optimized for…
read the full pg-aiguide overview →
More in Content & Publishing
Related comparisons
More Documentation & Knowledge Base projects
Compare either of these against the rest of the Documentation & Knowledge Base field.
Frequently asked questions
Is readme-ai or pg-aiguide more popular?
readme-ai has 3,005 GitHub stars and pg-aiguide has 1,881. readme-ai has the larger community by that measure.
Are readme-ai and pg-aiguide free?
Both are open source. readme-ai is licensed under MIT and pg-aiguide under Apache-2.0. Neither carries a licence fee.
What is the difference between readme-ai and pg-aiguide?
readme-ai is written in Python and pg-aiguide in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, readme-ai or pg-aiguide?
Choose readme-ai if you want the larger community (3,005 stars) or its MIT licence terms. Choose pg-aiguide if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.