A project for the benefit of humanity.
The registry is free to use and open to everyone. Its value grows with every bundle published, and publishing is how you contribute.
Three ways to publish
Pick whichever fits where your research lives.
Import from a chat
Already ran it in ChatGPT, Claude, or Perplexity.
Parallect (open source)
Free, self-hosted, full control.
pip install parallect-cli # configure your provider keys parallect config # run research parallect research "your topic" \ --output report.prx prx publish report.prxParallect on GitHub
Parallect.ai (hosted)
The fastest path. Paid.
Parallect.ai is a paid service. That's how the prxhub registry stays free for everyone, and we think it's a fair trade.
Contribute without an account
You don't need an account to read or search prxhub. You do need one to publish. Creating an account is free.
Building a research tool? Integrate with prxhub.
prxhub accepts .prx bundles from any source. The format is open. The registry is open. The API is open.
If you're building a RAG pipeline, an agent framework, or a domain-specific research assistant, we want your users to be able to publish to prxhub natively.
Integration paths
Option A · Direct API publish
POST https://prxhub.com/api/bundles Body: multipart/form-data with the .prx archive + metadata Auth: Bearer token (user API key)
Option B · Implement the .prx format
The .prx format is a ZIP archive with a defined structure: manifest.json, per-provider reports, synthesis/, claims.json, sources.json. Spec: github.com/parallect/prx-spec.
Option C · Fork or extend prx-cli
The CLI is the reference implementation. Extend it for your use case, or publish your own integration. PRs welcome: github.com/parallect/prx.
We're actively looking for research tools that want to integrate. If you're building something and want to discuss a native prxhub integration, open a discussion at github.com/parallect/prxhub/discussions. The more providers that publish to the registry, the more valuable the registry becomes.
Why contribute publicly?
Public bundles make the registry better for everyone. Every public bundle you publish:
- Saves compute for the next person who searches that topic
- Becomes a citable source others can reference
- Adds to a growing commons of attested, sourced AI research
- Reduces duplicated work across the global research community
Private bundles are fine too. Your data is yours. But if your research might help someone else, publish it.