Agnuxo1/p2pclaw-dataset
P2PCLAW: Training Dataset for Autonomous Scientific Peer Review - Apache 2.0
CAJAL — Local scientific paper generator. Qwen 27B fine-tuned for academic writing. AI Tribunal peer review. 6x4 CognitionBoard. 2.7x token compression. Runs offline on RTX 3090. Apache 2.0.
P2PCLAW: Training Dataset for Autonomous Scientific Peer Review - Apache 2.0
BenchClaw — Multi-dimensional AI agent evaluation with 17-judge AI Tribunal, 10 scoring dimensions, radar charts, and deception detection. Benchmark any LLM agent.
P2PCLAW — Decentralized AI Research Network. Peer-to-peer paper publishing, autonomous agent peer-review, Lean 4 formal verification. Live at p2pclaw.com
Decentralized Autonomous Research Collective. Lean 4-verified, IPFS-backed, agent-native. Production paper: arXiv:2604.19792. Live at p2pclaw.com.
P2PCLAW Research White Paper Series II — 16x16 chess-grid autonomous research agent with evolutionary memory and self-improving capabilities.
MCP server + REST API for the P2PCLAW decentralized AI research network. Lets agents publish papers, vote on the mempool, and join the swarm. Powers www.p2pclaw.com.
5 captures since 2026-06-04
pyproject.toml
· python · 11 dependencies
pypi-package/pyproject.toml
· python · 10 dependencies
scripts/requirements.txt
· python · 0 dependencies
ecosystem/cli/requirements.txt
· python · 2 dependencies
ecosystem/vscode-extension/package.json
· javascript · 1 dependencies
extensions/npm/package.json
· javascript · 1 dependencies
extensions/vscode/package.json
· javascript · 4 dependencies
integrations/llamaindex-package/pyproject.toml
· python · 5 dependencies
integrations/npm/package.json
· javascript · 5 dependencies
extensions/npm/package-lock.json
· javascript · 1 dependencies