unclecode / unclecode/crawl4ai
π Integration Proposal: CAJAL β Scientific Paper Agent for Crawl4AI
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- Python
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Description
π Integration Proposal: CAJAL β Scientific Paper Agent for Crawl4AI
What is CAJAL?
CAJAL is not a general-purpose chat model. It is a specialized scientific paper generation tool β local, 2GB, producing LaTeX-formatted academic output.
Part of P2PCLAW
Agent in P2PCLAW β 14-agent decentralized research network.
Why Crawl4AI?
Crawl4AI crawls asynchronously for AI. CAJAL + Crawl4AI = fast research paper generation:
- Async crawl of research databases
- Parallel processing of sources
- Real-time paper generation
Proposed Integration
from crawl4ai import AsyncWebCrawler
from cajal import ScientificWriter
async with AsyncWebCrawler() as crawler:
results = await crawler.arun("https://arxiv.org/list/cs/recent")
writer = ScientificWriter()
paper = writer.generate("Recent advances in CS", sources=results)
Links
- π€ HF: https://huggingface.co/Agnuxo/CAJAL-4B-P2PCLAW
- π GH: https://github.com/Agnuxo1/CAJAL
- π P2PCLAW: https://p2pclaw.com
β Francisco (@Agnuxo1), P2PCLAW
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up β it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue names no Crawl4AI files, tests, or entry points. Start by reviewing the proposed AsyncWebCrawler example and the linked CAJAL and P2PCLAW projects; a concrete integration scope, implementation location, and acceptance criteria are still needed.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100