head to head · open source
PageIndex vs Agenta
PageIndex has 35,765 GitHub stars, 3,152 forks, 103 open issues and last shipped yesterday. Agenta has 4,766 stars, 674 forks, 309 open issues and last shipped today. PageIndex leads on adoption by 650% (35,765 vs 4,766 stars). PageIndex is written in Python under MIT; Agenta is written in TypeScript under a custom or non-standard licence. PageIndex has attracted 9% as many forks as stars, Agenta 14%. Agenta was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (agentic-ai, ai-agents), 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.
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Side by side
| PageIndex | Agenta | |
|---|---|---|
| GitHub stars | ★ 36K | ★ 4.8K |
| License | MIT | Custom / other |
| Written in | Python | TypeScript |
| Last push | 2026-09-19 | 2026-09-20 |
| Forks | ⑂ 3.2K | ⑂ 674 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick PageIndex if
- You weight community size — 36K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick Agenta if
- You want the Agenta feature set and don't need the biggest community
- You prefer the Custom / other license terms
- Your stack matches TypeScript
- You evaluated both and Agenta fits your workflow better
About PageIndex
PageIndex is a vectorless, reasoning based retrieval augmented generation engine written in Python and released under the MIT license. It lives in the AI and machine learning infrastructure ecosystem, with topics spanning RAG, information retrieval, LLM reasoning, context engineering, and agentic AI. Instead of building a vector index, PageIndex generates a hierarchical tree index for each document and then lets a large language model reason its way through that tree, in the same way a human expert turns to the right section of a long report. The project ships as a Python SDK, a hosted cloud service, and a docume…
read the full PageIndex overview →
About Agenta
Agenta is an open source workspace where a team builds, runs, and improves AI agents by chatting with them, intended for individuals and teams that want agent automation without moving every task onto metered API billing.
read the full Agenta overview →
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Frequently asked questions
Is PageIndex or Agenta more popular?
PageIndex has 35,765 GitHub stars and Agenta has 4,766. PageIndex has the larger community by that measure.
Are PageIndex and Agenta free?
Both are open source. PageIndex is licensed under MIT, and Agenta has no licence declared in this registry. Both are free to self-host.
What is the difference between PageIndex and Agenta?
PageIndex is written in Python and Agenta in TypeScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, PageIndex or Agenta?
Choose PageIndex if you want the larger community (35,765 stars) or its MIT licence terms. Choose Agenta if its feature set, stack or Custom / other licence fits better. Both are self-hostable.