📝 Integration Proposal: CAJAL — Scientific Paper Agent for CodeGen

[Agnuxo1]

📝 Integration Proposal: CAJAL — Scientific Paper Agent for CodeGen

What is CAJAL?

CAJAL is not a general-purpose chat model. It is a specialized scientific paper generation tool — local, 2GB, producing LaTeX-formatted academic output.

Part of P2PCLAW

Agent in P2PCLAW — 14-agent decentralized research network.

Why CodeGen?

CodeGen generates code from natural language. CAJAL + CodeGen = bidirectional research:

• Natural language → CodeGen → code
• Results → CAJAL → paper
• Full cycle: idea → code → results → paper

Proposed Integration

from transformers import AutoModelForCausalLM
from cajal import ScientificWriter

codegen = AutoModelForCausalLM.from_pretrained("Salesforce/codegen-350M-mono")
writer = ScientificWriter()
# Idea → CodeGen → code → run → CAJAL → paper

Links

• 🤗 HF: https://huggingface.co/Agnuxo/CAJAL-4B-P2PCLAW
• 📁 GH: https://github.com/Agnuxo1/CAJAL
• 🌐 P2PCLAW: https://p2pclaw.com

— Francisco (@Agnuxo1), P2PCLAW