- Unified SDK: vectorless RAG. Local or cloud. Index or chat.
- Faster: trees are created from layout stats.
- Cheaper than vector index: LLMs only write node summaries.
- Runs on your Claude subscription.
- Flash engine: the local default (mode="standard" keeps the classic LLM pipeline). Embedded bookmarks are consumed when trustworthy, and tree optimization is on by default — optimize="merge" for…
- One complete surface, local and cloud: PageIndexLocalClient(storagepath=...) is the same client as cloud — submit, tree, page content, chat, and agent tools all present in both modes, so code…
PageIndex
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
Agent tooling for cost, context and memory
New · Added to AgentGid on Oct 13, 2026Open source · MITFree to start
Recently added on Oct 13, 2026. The description, category and pricing were filled in from public metadata and have not been checked by an editor yet.
Price
Free (OSS)
free and open source
Popularity
#57 in Agent tooling
Gid Score 22 / 100 · #57 of 65 ranked agent tools
Trend
Gaining stars
about +45 GitHub stars a day
Development
Actively updated
latest 0.4.4, 2d ago
Community
39.4K GitHub stars
public signals
Usage data: latest readings Oct 20 to Oct 21, 2026, last checked Oct 21, 06:38 UTC. Date of each number
What PageIndex does
It is free and open source (MIT); you pay only for the models it calls.
Key facts
| Maker | PageIndex |
|---|---|
| First released | April 2025 |
| License | MIT |
| Main language | Python |
| Open issues and PRs | 151 |
Pricing
Open source under the MIT licence; check the website for any paid hosted plans.
, checked Oct 13, 2026. Prices change often; confirm before you buy.
Quick answers
- Free to start?Yes
- Open source?Yes (MIT)
- Closest alternativeOpenShell · all alternatives
PageIndex alternatives
Best PageIndex alternatives compared · All agent tooling for cost, context and memory
| # | Agent | Gid Score | Downloads 7d | 7d | 30d | Stars | Latest release | Price | |||
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 |
OpenShellNVIDIA |
77 | 101K | down 14.1% | up 381.4% | 16.8K+103/day | 0.1.5yesterday | Free (OSS) | |||
| 2 |
|
72 | 22.9M | up 4.3% | — | 61.7K+79/day | 1.104.5today | Free (OSS) | |||
| 3 |
NVIDIA NemoClawNVIDIA |
69 | — | — | — | 22.8K+10/day | — | Free (OSS) | |||
| 4 |
|
64 | 9.5M | down 17.1% | up 17.7% | 36.1K+48/day | 4.66.0yesterday | Free + $29/mo | |||
| 5 |
|
64 | 2M | down 19.8% | up 0.3% | 194K+350/day | 2.11.04mo ago | Free + $16/mo | |||
| 6 |
|
60 | 3.2M | down 14.5% | up 21.9% | 14.5K+21/day | 2.11.2yesterday | Free + $150/mo | |||
| No agents match that filter. | |||||||||||
Ratings from people who use PageIndex
No ratings yet. Used PageIndex? Rate it and say what it is good and bad at.
PageIndex news
-
PageIndex 0.4.4 released
Unified SDK: vectorless RAG. Local or cloud. Index or chat.; Faster: trees are created from layout stats.; Cheaper than vector index: LLMs only write node summaries.
-
PageIndex 0.4.3 released
Unified SDK: vectorless RAG. Local or cloud. Index or chat.; Faster: trees are derived from layout stats.; Cheaper than Vector Index: LLMs only write node summaries. (+1 more release that day)
-
10 agents added to AgentGid
Browser Harness, Vane, TencentDB-Agent-Memory, Distilly, Codex With Chatgpt, Siyuan, Planning With Files, AionUi, PageIndex, Anatomy
What changed: recent PageIndex releases
18 stable releases in the last 90 days · Full changelog
- Unified SDK: vectorless RAG. Local or cloud. Index or chat.
- Faster: trees are derived from layout stats.
- Cheaper than Vector Index: LLMs only write node summaries.
- Runs on your Claude subscription.
- Flash engine: the local default (mode="standard" keeps the classic LLM pipeline). Embedded bookmarks are consumed when trustworthy, and tree optimization is on by default — optimize="merge" for…
- One complete surface, local and cloud: PageIndexLocalClient(storagepath=...) is the same client as cloud — submit, tree, page content, chat, and agent tools all present in both modes, so code…
Earlier releases
- The PageIndex SDK, local or cloud — vectorless, reasoning-based RAG, end to end.
- Much faster indexing — the PageIndex Flash engine gets the tree from layout stats: no LLM involved for the structure generation itself, LLMs only write the node summaries, and tree expansion…
- Flash engine: the local default (mode="standard" keeps the classic LLM pipeline). Embedded bookmarks are consumed when trustworthy, and tree optimization is on by default — optimize="merge" for…
- One complete surface, local and cloud: PageIndexLocalClient(storagepath=...) is the same client as cloud — submit, tree, page content, chat, and agent tools all present in both modes, so code…
- Cloud documents, your own model: apikey decides where your documents live; a configured chat model decides who answers — and the two combine. PageIndexClient(apikey="pi-...",…
- Agent integration: the cloud MCP tool contract, in-process — client.agenttools() (plain functions), asopenaitools(), asanthropictools(), asclaudemcp(), plus one-call openaiagentconfig() /…
- The PageIndex SDK, local or cloud — vectorless, reasoning-based RAG, end to end.
- Much faster indexing — the PageIndex Flash engine gets the tree from layout stats: no LLM involved for the structure generation itself, LLMs only write the node summaries, and tree expansion…
- Flash engine: the local default (mode="standard" keeps the classic LLM pipeline). Embedded bookmarks are consumed when trustworthy, and tree optimization is on by default — optimize="merge" for…
- One complete surface, local and cloud: PageIndexLocalClient(storagepath=...) is the same client as cloud — submit, tree, page content, chat, and agent tools all present in both modes, so code…
- Cloud documents, your own model: apikey decides where your documents live; a configured chat model decides who answers — and the two combine. PageIndexClient(apikey="pi-...",…
- Agent integration: the cloud MCP tool contract, in-process — client.agenttools() (plain functions), asopenaitools(), asanthropictools(), asclaudemcp(), plus one-call openaiagentconfig() /…
- The PageIndex SDK, local or cloud — vectorless, reasoning-based RAG, end to end.
- Much faster indexing — the PageIndex Flash engine gets the tree from layout stats: no LLM involved for the structure generation itself, LLMs only write the node summaries, and tree expansion…
- Flash engine: the local default (mode="standard" keeps the classic LLM pipeline). Embedded bookmarks are consumed when trustworthy, and tree optimization is on by default — optimize="merge" for…
- One complete surface, local and cloud: PageIndexLocalClient(storagepath=...) is the same client as cloud — submit, tree, page content, chat, and agent tools all present in both modes, so code…
- Cloud documents, your own model: apikey decides where your documents live; a configured chat model decides who answers — and the two combine. PageIndexClient(apikey="pi-...",…
- Agent integration: the cloud MCP tool contract, in-process — client.agenttools() (plain functions), asopenaitools(), asanthropictools(), asclaudemcp(), plus one-call openaiagentconfig() /…
- The PageIndex SDK, local or cloud — vectorless, reasoning-based RAG, end to end.
- Much faster indexing — the PageIndex Flash engine gets the tree from layout stats: no LLM involved for the structure generation itself, LLMs only write the node summaries, and tree expansion…
- Flash engine: the local default (mode="standard" keeps the classic LLM pipeline). Embedded bookmarks are consumed when trustworthy, and tree optimization is on by default — optimize="merge" for…
- One complete surface, local and cloud: PageIndexLocalClient(storagepath=...) is the same client as cloud — submit, tree, page content, chat, and agent tools all present in both modes, so code…
- Cloud documents, your own model: apikey decides where your documents live; a configured chat model decides who answers — and the two combine. PageIndexClient(apikey="pi-...",…
- Agent integration: the cloud MCP tool contract, in-process — client.agenttools() (plain functions), asopenaitools(), asanthropictools(), asclaudemcp(), plus one-call openaiagentconfig() /…
PageIndex popularity and usage data
The GitHub repository has 39.4K stars, 3,748 of them added in the last 30 days. The latest stable release is 0.4.4, published Oct 19, 2026; there were 9 stable releases in the past 30 days. It was mentioned in 3 Hacker News posts and comments over the last 30 days.
Download the raw daily series: pageindex.csv
Gid Score breakdown
Adoption0
Community66
Attention0
Momentum55
Each component is scored 0 to 100 from public signals; a dash means no data for it. Methodology.
How fresh these numbers are
| Number | Latest reading | Last checked |
|---|---|---|
| GitHub stars | Oct 21, 2026 | Oct 21, 06:32 UTC |
| Website rank (Tranco) | Oct 20, 2026 | Oct 21, 06:38 UTC |
| Hacker News mentions | Oct 20, 2026 | Oct 21, 06:33 UTC |
We fetch every source once a day. Registries publish downloads and page views a day or two late, so their latest reading trails the check. A reading more than 4 days old is marked out of date; the Gid Score still uses it until a newer one arrives.
PageIndex FAQ
How much does PageIndex cost?
Open source under the MIT licence; check the website for any paid hosted plans.
Is PageIndex open source?
Yes. PageIndex is open source, released under the MIT license.
How popular is PageIndex?
The GitHub repository has 39.4K stars, 3,748 of them added in the last 30 days. The latest stable release is 0.4.4, published Oct 19, 2026; there were 9 stable releases in the past 30 days. It was mentioned in 3 Hacker News posts and comments over the last 30 days.
What is the latest version of PageIndex?
The latest stable release we track is 0.4.4, published on Oct 19, 2026.
What are the alternatives to PageIndex?
The closest alternatives in the same category by Gid Score are OpenShell, LiteLLM, NVIDIA NemoClaw, Langfuse.
For the makers of PageIndex badges, corrections
Add a live badge to your README or site:
[](https://agentgid.com/agents/pageindex/)[](https://agentgid.com/agents/pageindex/)Something wrong or outdated on this page? Send a correction with a link to the official source. More for makers.
Where these numbers come from
GitHub: vectifyai/pageindex. Site rank: pageindex.ai on the Tranco list. See data sources for how each one is collected.
Product facts and pricing were checked against: pageindex.ai, github.com.