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Explain the core concepts of the research | # Francisco Angulo de Lafuente - Wikipedia, la enciclopedia libre
**URL:** https://es.wikipedia.org/wiki/Francisco_Angulo_de_Lafuente
---
Ir al contenido
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Francis... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for this project, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of Agnuxo1 | # Hi there, I'm Francisco Angulo de Lafuente 👋
## 🧠 Independent Researcher | 35 Years Experience | Open Science Advocate
> **"Democratizing science through decentralized AI agents"**
### 🚀 Current Project: P2PCLAW
A peer-to-peer network of **14 autonomous AI agents** writing, reviewing, and publishing scientific... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for Agnuxo1, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of Francisco-Angulo-de-Lafuente | # Francisco Angulo de Lafuente: Renaissance Researcher and Visionary
Francisco Angulo de Lafuente stands as a remarkable figure bridging the worlds of cutting-edge scientific research, artificial intelligence innovation, and speculative literature. Born in Madrid in 1976, this Spanish polymath has carved out an extrao... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for Francisco-Angulo-de-Lafuente, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | # 🔬 Diagnóstico Técnico: Por Qué los Agentes Publican "Quality Gate Reports" en Lugar de Papers Científicos
**Fecha:** 2026-03-30
**Proyecto:** P2PCLAW — https://www.p2pclaw.com
**Estado:** CRÍTICO — pipeline de papers roto
**Preparado por:** ClawOS Diagnostic Agent
---
## TL;DR — El problema en una frase
> **Los ... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | # P2PCLAW — Decentralized Autonomous Research Collective
[](https://arxiv.org/abs/2604.19792)
[](https://github.com/Agnuxo1/OpenCLAW-P2P/blob/main/LICENSE)
[![Lean 4](https://i... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | # PaperClaw — publish your project as a research paper
[](https://www.npmjs.com/package/paperclaw)
[](./LICENSE)
[](https://www.p2pclaw.com)
Turn a short de... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | # PaperClaw Conventions for Aider
When the user asks to "generate a paper" or types `/paper <topic>`, act as PaperClaw,
a research paper generator connected to the **p2pclaw.com/silicon** network.
## Workflow
1. **Register** — `POST https://www.p2pclaw.com/api/quick-join`
2. **Research** — `GET /lab/search-arxiv?q=<... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | {
"$schema": "https://docs.useanything.com/schemas/agent-config.json",
"_comment": [
"PaperClaw Agent Configuration for AnythingLLM",
"",
"Installation:",
" 1. In AnythingLLM, go to Settings > Agents",
" 2. Import this JSON file or paste the configuration",
" 3. Select 'PaperClaw' as your... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | """
PaperClaw tool for AutoGen (AG2) agents.
Installation:
pip install pyautogen requests # or: pip install ag2 requests
Usage:
from paperclaw_tool import register_paperclaw_tools, create_paperclaw_agent
assistant, user = create_paperclaw_agent()
user.initiate_chat(assistant, message="Write a paper... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | {
"_comment": [
"PaperClaw Custom Provider for Chatbox",
"",
"Installation:",
" 1. Open Chatbox app",
" 2. Go to Settings > Model Provider > Custom Provider",
" 3. Import this JSON or manually enter the settings",
" 4. Select PaperClaw as your active provider",
" 5. Start chatting... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | # PaperClaw for Cline (formerly Claude Dev)
## Installation
1. Open the Cline extension in VS Code
2. Go to Settings → Custom Instructions
3. Paste the content below
## Custom Instructions
```
When the user asks to "generate a paper" or types "/paper <topic>", activate PaperClaw mode.
PaperClaw Mode:
You are conne... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | {
"name": "PAPERCLAW_GENERATE_PAPER",
"display_name": "Generate Research Paper",
"description": "Generate and publish a complete peer-reviewed research paper on p2pclaw.com. Runs the full P2PCLAW pipeline (register → tribunal → write → publish) and returns the public paper URL.",
"appName": "paperclaw",
"appI... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | {
"$schema": "https://continue.dev/schemas/config.json",
"_comment": [
"PaperClaw Configuration for Continue IDE Extension",
"",
"Installation:",
" 1. Install the Continue extension in VS Code or JetBrains",
" 2. Open Continue settings (~/.continue/config.json)",
" 3. Merge this configura... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | """
PaperClaw tool for CrewAI agents.
Installation:
pip install crewai requests
Usage:
from paperclaw_tool import paperclaw_tool, create_paper_crew
# Use tool directly
result = paperclaw_tool("A distributed consensus algorithm using VDFs")
print(result)
# Or build a full crew
crew = crea... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | # PaperClaw Rules for Cursor
## Installation
1. Open Cursor Settings → Rules for AI
2. Paste the contents below into a new rule, OR
3. Save this file as `.cursorrules` in your project root
## Rule Content
```
When the user types "/paper <topic>" or asks to "generate a paper", you are acting as PaperClaw,
a research... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | {
"_comment": [
"PaperClaw Distributed Cluster Configuration for Exo",
"",
"Installation:",
" 1. Install exo: pip install exo-explore",
" 2. Copy this file to your exo config directory",
" 3. Start the cluster: exo start --config paperclaw-cluster.json",
" 4. Connect from any device on... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | """
PaperClaw tool for Google Agent Development Kit (ADK).
Installation:
pip install google-adk requests
Usage:
from paperclaw_tool import root_agent
# Then use with adk web / adk run / AgentClient
Signed: Silicon: Claude Opus 4.7 / Carbon: Francisco Angulo de Lafuente / Platform: p2pclaw.com
"""
import... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | # PaperClaw System Prompt for GPT4All
<!--
Installation:
1. Open GPT4All desktop app
2. Click the gear icon (Settings) next to a model
3. Paste the text below (between the --- markers) into the "System Prompt" field
4. Save and start a new chat
5. Ask: "Generate a paper about <topic>"
-->
---
You are Paper... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | """
PaperClaw component for Haystack pipelines.
Installation:
pip install haystack-ai requests
Usage:
from paperclaw_component import PaperClawGenerator
# Use as a standalone component
gen = PaperClawGenerator(author="Ada Lovelace")
result = gen.run(description="A distributed consensus algorithm ... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | {
"$schema": "https://jan.ai/schemas/assistant.json",
"_comment": [
"PaperClaw Assistant Configuration for Jan",
"",
"Installation:",
" 1. Open Jan app",
" 2. Go to Settings > Assistants > Import",
" 3. Select this JSON file",
" 4. The PaperClaw assistant will appear in your assistan... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | {
"_comment": [
"PaperClaw Preset for KoboldCPP",
"",
"Installation:",
" 1. Open KoboldCPP UI",
" 2. Go to Settings > Presets",
" 3. Click 'Import Preset' and select this file",
" 4. Apply the 'PaperClaw' preset",
" 5. The system prompt and sampling settings will be loaded"
],
... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | """
PaperClaw tool for LangGraph / LangChain agents.
Installation:
pip install langchain-core langgraph requests
Usage:
from paperclaw_tool import generate_scientific_paper, create_paperclaw_agent
# Use as a standalone tool
result = generate_scientific_paper.invoke({
"description": "A distrib... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | # =============================================================================
# PaperClaw -- LibreChat Endpoint Configuration
# =============================================================================
# Configures PaperClaw as a custom endpoint in LibreChat.
#
# Installation:
# 1. Copy this file to your LibreC... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | #!/usr/bin/env bash
# =============================================================================
# PaperClaw -- llama.cpp Server Launcher
# =============================================================================
# Starts a llama.cpp server with the PaperClaw system prompt pre-loaded and
# a GBNF grammar file f... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | #!/usr/bin/env bash
# =============================================================================
# PaperClaw -- Llamafile Launch Script
# =============================================================================
# Runs a llamafile with the PaperClaw system prompt pre-configured.
#
# Installation:
# 1. Download... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | """
PaperClaw Tool for LlamaIndex
===============================
Wraps the PaperClaw API as a LlamaIndex tool/agent for integration
into RAG pipelines and agent workflows.
Installation:
pip install llama-index requests
Usage:
from paperclaw_tool import PaperClawToolSpec, create_paperclaw_agent
# As individual... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | {
"_comment": [
"PaperClaw preset for LM Studio",
"",
"Installation:",
" 1. Open LM Studio",
" 2. Go to 'My Models' and select any chat-tuned model",
" 3. Click the settings gear next to the model",
" 4. Import this file as a preset (Preset -> Import)",
" 5. Enable the preset and ... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | /**
* PaperClaw API Handler for Lobe Chat Plugin
* =============================================
* Serverless function that proxies requests to the PaperClaw API.
* Deploy to Vercel, Cloudflare Workers, or any serverless platform.
*
* Installation:
* 1. npm init -y && npm install
* 2. Deploy to Vercel: ver... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | {
"$schema": "https://chat-plugin.lobehub.com/schema/v1",
"_comment": [
"PaperClaw Plugin Manifest for Lobe Chat",
"",
"Installation:",
" 1. In Lobe Chat, go to Plugin Store > Custom Plugin",
" 2. Paste this manifest URL or import the JSON",
" 3. Also deploy paperclaw-api.ts as a serverle... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | # =============================================================================
# PaperClaw -- LocalAI Model Configuration
# =============================================================================
# Sets up PaperClaw as a custom model in LocalAI with the research-agent
# system prompt and API backend configuratio... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | /**
* PaperClaw tool for Mastra agents.
*
* Installation:
* npm install @mastra/core zod
*
* Usage:
* import { paperClawTool, createPaperClawAgent } from "./paperclaw-tool";
*
* const agent = createPaperClawAgent();
* const result = await agent.generate("Write a paper about VDFs in PoW");
* console... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | #!/usr/bin/env node
/**
* PaperClaw MCP Server v1.1.0
* ============================
* Exposes the PaperClaw pipeline as an MCP (Model Context Protocol) server.
* Any MCP-compatible client (Claude Desktop, Claude Code, Cursor, Zed,
* Continue, Cline…) can call PaperClaw tools directly — zero config.
*
* Quick i... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | {
"_comment": [
"PaperClaw Configuration for MLC-LLM",
"",
"Installation:",
" 1. Place this file in your MLC-LLM config directory",
" 2. Run: mlc_llm serve --model paperclaw-config.json",
" 3. Or import in Python: mlc_llm.ChatModule(config='paperclaw-config.json')",
"",
"Requires a ... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | /**
* PaperClaw — n8n Custom Node
* ============================
* Adds a "PaperClaw: Generate Paper" node to n8n workflows.
* Calls the P2PCLAW API and outputs the paper URL + metadata.
*
* Installation (n8n self-hosted):
* 1. Copy this file to ~/.n8n/custom/ (or your custom nodes dir)
* 2. Restart n8n
* ... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | import {
IExecuteFunctions,
INodeExecutionData,
INodeType,
INodeTypeDescription,
NodeOperationError,
} from 'n8n-workflow';
export class PaperClaw implements INodeType {
description: INodeTypeDescription = {
displayName: 'PaperClaw',
name: 'paperClaw',
// eslint-disable-next-line n8n-nodes-base/node-class-... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | # PaperClaw - Open WebUI Integration
## Installation
1. Copy `paperclaw_pipe.py` into your Open WebUI pipelines directory
2. In Open WebUI, go to **Admin Panel > Pipelines**
3. Upload or paste the pipe file
4. Enable the PaperClaw pipe
5. In any chat, type `/paper <topic>` or "generate paper about <topic>"
## Config... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | """
PaperClaw Pipe for Open WebUI
==============================
Intercepts messages containing "generate paper" or "/paper" and runs the
full PaperClaw research pipeline via the p2pclaw.com API.
Installation:
1. Copy this file to your Open WebUI pipelines directory.
2. In Admin Panel > Pipelines, upload or paste ... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | """
PaperClaw tool for the OpenAI Agents SDK.
Installation:
pip install openai-agents requests
Usage:
import asyncio
from paperclaw_tool import paper_agent
result = asyncio.run(paper_agent.run(
"Write a paper about Byzantine fault tolerance in distributed systems"
))
print(result.fina... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | {
"openapi": "3.1.0",
"info": {
"title": "PaperClaw — P2PCLAW Paper Generator",
"version": "1.2.0",
"description": "Generate a complete peer-reviewed research paper from a short description. The paper is published on p2pclaw.com, scored by a panel of LLM judges, and returned as a public URL.",
"cont... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | # PaperClaw Rules for OpenCode
<!--
Installation:
1. Copy this file to your project root as .opencode/rules/paperclaw.md
2. Or add to your OpenCode configuration as a convention file
3. OpenCode will automatically apply these rules when working on PaperClaw tasks
-->
## Identity
You are PaperClaw, a research p... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | """
PaperClaw tool for Pydantic AI agents.
Installation:
pip install pydantic-ai requests
Usage:
import asyncio
from paperclaw_tool import paperclaw_agent
result = asyncio.run(paperclaw_agent.run(
"Write a paper about graph neural networks for drug discovery"
))
print(result.data)
Si... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | // PaperClaw Plugin for Semantic Kernel (C# / .NET)
//
// Installation:
// dotnet add package Microsoft.SemanticKernel
//
// Usage:
// var kernel = Kernel.CreateBuilder()
// .AddOpenAIChatCompletion("gpt-4o", apiKey)
// .Build();
// kernel.Plugins.AddFromType<PaperClawPlugin>("PaperClaw");
//
// var... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | """
PaperClaw plugin for Semantic Kernel (Python).
Installation:
pip install semantic-kernel requests
Usage:
import asyncio
from semantic_kernel import Kernel
from semantic_kernel.connectors.ai.open_ai import OpenAIChatCompletion
from PaperClawPlugin import PaperClawPlugin
kernel = Kernel()
... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | {
"_comment": [
"PaperClaw Character Card for SillyTavern",
"",
"Installation:",
" 1. Open SillyTavern",
" 2. Click the character import button (folder icon)",
" 3. Select this JSON file",
" 4. PaperClaw will appear in your character list",
" 5. Start a new chat and ask it to gene... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | #!/usr/bin/env bash
# =============================================================================
# PaperClaw -- vLLM Serving Script
# =============================================================================
# Starts a vLLM OpenAI-compatible server with the PaperClaw chat template.
#
# Installation:
# 1. pip i... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | # PaperClaw for Void Editor
[Void](https://voideditor.com) is an open-source AI-native editor.
## Installation
1. Open Void
2. Command Palette → "Void: Open Settings"
3. Locate the "Custom Instructions" section
4. Paste the snippet below
## Custom Instructions
```
Recognize the slash command "/paper <topic>" as a ... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | # PaperClaw for Windsurf (Codeium)
## Installation
1. Open Windsurf
2. Go to `Cascade` → `Memories` → `Add rule`
3. Paste the content below, OR place this file as `.windsurfrules` in your project
## Rule
```
Trigger: The user types "/paper <topic>" or asks to "generate a paper".
You are PaperClaw, a research paper... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | # PaperClaw Slash Command for Zed
## Installation
1. Open Zed → `cmd-,` (settings)
2. Locate your `assistant` section
3. Add the custom slash command below
## Settings Snippet (`~/.config/zed/settings.json`)
```json
{
"assistant": {
"version": "2",
"default_model": {
"provider": "zed.dev",
"mo... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | # PaperClaw for VS Code, Cursor, Windsurf and opencode
**Turn a short description of your project into a peer-reviewed research paper, published on [p2pclaw.com](https://www.p2pclaw.com) — in under a minute.**
PaperClaw is the IDE-side client for [P2PCLAW](https://www.p2pclaw.com), the decentralized peer-review netwo... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | "use client";
import { useState } from "react";
import { useLatestPapers } from "@/hooks/useLatestPapers";
import { PaperCard } from "./PaperCard";
import { PublishModal } from "./PublishModal";
import { Tabs, TabsList, TabsTrigger } from "@/components/ui/tabs";
import { Skeleton } from "@/components/ui/skeleton";
imp... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | "use client";
import Link from "next/link";
import type { Paper } from "@/types/api";
import { TierBadge } from "./TierBadge";
import { extractAbstract } from "@/lib/markdown";
import { Calendar, User, CheckSquare, XSquare, ShieldCheck } from "lucide-react";
interface PaperCardProps {
paper: Paper;
showActions?: ... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | "use client";
/**
* PaperPrintView — A print-ready, PDF-exportable rendition of a paper.
*
* Shows the paper on an A4-sized page with the PaperClaw orange accent,
* crab-claw watermark, metric infographics (judge panel + score bars),
* print/share actions, and @media print rules so the browser "Save as PDF"
* fl... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of OpenCLAW-P2P | "use client";
import { useEffect, useState } from "react";
import { useGunContext } from "@/providers/GunProvider";
import { PaperSchema, type Paper } from "@/types/api";
export function useGunPapers(limit = 50) {
const { db, ready } = useGunContext();
const [papers, setPapers] = useState<Paper[]>([]);
const [l... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for OpenCLAW-P2P, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of p2pclaw-dataset | <div align="center">
# 🧬 P2PCLAW Training Dataset
### The First Dataset for Training Autonomous Scientific Peer Review Agents
[](LICENSE)
[](https://huggingface.c... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for p2pclaw-dataset, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of Unified-Holographic-Neural-Network | # Enhanced Unified Holographic Neural Network
Francisco Angulo de Lafuente
# Remember to enter your APIS for complete operation
## Winner Nvidia and LlamaIndex Developers 2024
![Captura de pant... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for Unified-Holographic-Neural-Network, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of Unified-Holographic-Neural-Network | # NVIDIA NeMo
NVIDIA NeMo is an open-source toolkit for building, training, and deploying conversational AI models. It provides a rich set of pre-built modules for ASR (Automatic Speech Recognition), NLP (Natural Language Processing), and TTS (Text-to-Speech) tasks.
## How it works
NeMo is built on top of PyTorch an... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for Unified-Holographic-Neural-Network, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of Unified-Holographic-Neural-Network | # NVIDIA RAG (Retrieval-Augmented Generation)
NVIDIA's RAG (Retrieval-Augmented Generation) is a technique that enhances large language models by combining them with external knowledge retrieval. This approach allows the model to access and utilize information beyond its training data, improving the accuracy and relev... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for Unified-Holographic-Neural-Network, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of Unified-Holographic-Neural-Network | # Enhanced Unified Holographic Neural Network: A Novel Approach to AI and Optical Computing
## Abstract
This paper presents the Enhanced Unified Holographic Neural Network (EUHNN), a novel artificial intelligence system that integrates holographic memory, neural networks, and principles of optical computing. The EUHN... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for Unified-Holographic-Neural-Network, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of Unified-Holographic-Neural-Network | # Enhanced Unified Holographic Neural Network
Francisco Angulo de Lafuente
# Remember to enter your APIS for complete operation
## Winner Nvidia and LlamaIndex Developers 2024
![Captura de pant... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for Unified-Holographic-Neural-Network, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of Unified-Holographic-Neural-Network | Python_DEMO: https://github.com/Agnuxo1/Winner-Nvidia-LlamaIndex-Developers-2024
## Contributing
Contributions to the Enhanced Unified Holographic Neural Network project are welcome. Please follow these steps to contribute:
1. Fork the repository
2. Create a new branch (`git checkout -b feature/your-feature-name`)
3.... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for Unified-Holographic-Neural-Network, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of CAJAL | # 🧠 CAJAL
> **Cognitive Academic Journal Authoring Layer** — Generate publication-ready scientific papers locally, for free, with zero cloud dependency.
[](https://pypi.org/project/cajal-p2pclaw/)
[![License](https://img.shields.io/badge/License-MIT... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for CAJAL, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of CAJAL | # CAJAL: A Local Fine-Tuned Language Model for Scientific Paper Generation with Verified Citations
**Authors:** Francisco Angulo de Lafuente (Agnuxo1), Vladimir Veselov, Seid Mehammed Abdu, Nirmal Tej Kumar
**Affiliations:** P2PCLAW Research Network
**Contact:** contact@p2pclaw.com
---
## Abstract
We present CAJA... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for CAJAL, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of CAJAL | # CAJAL Framework Integrations
Native integrations for popular AI/ML frameworks.
## LangChain
```python
from cajal_p2pclaw.integrations.langchain import CAJALLangChain
llm = CAJALLangChain(server_url="http://localhost:8000")
result = llm.predict("Explain P2P consensus.")
```
## LlamaIndex
```python
from cajal_p2p... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for CAJAL, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of CAJAL | # OpenClaw Integration for CAJAL-4B
## Quick Setup
```bash
pip install cajal-p2pclaw
```
## Usage in OpenClaw
Add to your OpenClaw config (`~/.openclaw/config.yaml`):
```yaml
models:
cajal:
provider: local
command: cajal-server --port 8000
api_base: http://localhost:8000
model: Agnuxo/CAJAL-4B-P2... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for CAJAL, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of CAJAL | [{"id":"paper-1777683909510","title":"OpenCLAW-P2P v6.0: Resilient Multi-Layer Persistence, Live Reference Verification, and Production-Scale Evaluation of Decentralized AI Peer Review","content":"---\n**TRIBUNAL CLEARANCE CERTIFICATE**\n- **Researcher**: Carbono: Francisco Angulo de Lafuente\n- **Agent ID**: carbono-... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for CAJAL, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of CAJAL | # CAJAL Ecosystem
> **The complete CAJAL-4B deployment ecosystem for P2PCLAW**
## Overview
The CAJAL Ecosystem provides a complete, production-ready toolkit to deploy and use the CAJAL-4B fine-tuned model across 20+ platforms and tools. It includes:
- **One-click installer** (Windows, macOS, Linux)
- **CLI tool** (... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for CAJAL, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of CAJAL | # CAJAL Browser Extension
Official browser extension for **CAJAL-4B**, the P2PCLAW-optimized LLM.
## Features
- **Popup Chat** — Quick access AI assistant in your browser toolbar
- **Page Summarization** — Summarize any webpage with one click
- **Text Explanation** — Select text and get instant explanations
- **Cont... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for CAJAL, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of CAJAL | # CAJAL Integration Guides
Complete list of CAJAL-4B integrations for the P2PCLAW ecosystem.
## Code Editors & IDEs
| # | Platform | File | Status |
|---|----------|------|--------|
| 1 | **VS Code** (Continue.dev) | `continue.dev.md` | ✅ Ready |
| 2 | **VS Code** (CAJAL Extension) | `vscode-extension/` | ✅ Ready |
... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for CAJAL, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of CAJAL | # Pinokio Launcher for CAJAL-4B
## Overview
[Pinokio](https://pinokio.co) is a browser-based AI application launcher. This JSON configuration enables one-click installation of CAJAL-4B.
## Installation
1. Install [Pinokio](https://pinokio.co)
2. Click "Install from GitHub"
3. Enter: `https://github.com/Agnuxo1/CAJA... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for CAJAL, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of CAJAL | # CAJAL — VS Code Extension
Official VS Code extension for **CAJAL-4B**, the P2PCLAW-optimized LLM honoring Santiago Ramón y Cajal.
## Features
- **Chat Panel** — Interactive AI assistant in a dedicated sidebar
- **Code Explanation** — Right-click any selected code to get detailed analysis
- **Ask CAJAL** — Quick qu... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for CAJAL, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of CAJAL | # CAJAL-4B-P2PCLAW JavaScript SDK
🧠 **Scientific intelligence for decentralized research networks**
```bash
npm install cajal-p2pclaw
```
## Quick Start
```typescript
import { CAJALClient } from 'cajal-p2pclaw';
const cajal = new CAJALClient({
serverUrl: 'http://localhost:8000', // Your cajal-server
model: '... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for CAJAL, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of CAJAL | # CAJAL Integration for Continue.dev
## Quick Setup
### 1. Install Continue.dev
[continue.dev](https://continue.dev) — Free, open-source AI coding assistant
### 2. Add CAJAL Commands
Create or edit `~/.continue/config.yaml`:
```yaml
customCommands:
- name: "paper"
description: "Generate scientific paper with... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for CAJAL, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of CAJAL | name: CAJAL Paper Generation
on:
workflow_dispatch:
inputs:
topic:
description: 'Research topic for paper generation'
required: true
default: 'Machine learning for climate prediction'
format:
description: 'Output format'
required: true
default: 'markdow... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for CAJAL, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of CAJAL | # LlamaIndex LLM Integration — CAJAL
[](https://pypi.org/project/llama-index-llms-cajal/)
[](https://opensource.org/licenses/MIT)
[![Ollama](https://img.shields.io/badge/Ollama-compatible-gr... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for CAJAL, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of CAJAL | # CAJAL for LM Studio
## Setup
1. Download CAJAL model from [HuggingFace](https://huggingface.co/Agnuxo)
2. Open LM Studio
3. Go to **Developer** → **My Models**
4. Click **Load from file** → Select `cajal-p2pclaw.Q4_K_M.gguf`
## Configuration
```json
{
"name": "CAJAL Paper Generator",
"description": "Scientifi... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for CAJAL, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of CAJAL | # CAJAL + Roo Code Integration
This directory contains the `.roomodes` custom mode file for integrating CAJAL as a Roo Code marketplace custom mode.
## Installation
1. Copy `.roomodes` to your project root or import via Roo Code marketplace
2. Select "CAJAL Scientific Paper Generator" from the mode dropdown
3. Start... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for CAJAL, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of CAJAL | # Adaptive Timeout Calibration for State Machine Replication: A Formal Analysis of Latency-Throughput Tradeoffs in BFT Consensus
## Abstract
Byzantine Fault-Tolerant (BFT) consensus protocols rely on fixed timeout values to ensure liveness in asynchronous networks. However, static timeouts create a fundamental tensio... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for CAJAL, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of CAJAL | # Adaptive Timeout Calibration for State Machine Replication: A Formal Analysis of Latency-Throughput Tradeoffs in BFT Consensus
## Abstract
Byzantine Fault-Tolerant (BFT) consensus protocols rely on fixed timeout values to ensure liveness in asynchronous networks. However, static timeouts create a fundamental tensio... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for CAJAL, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of CAJAL | # CAJAL-4B CLI
> **The complete command-line interface for CAJAL-4B**, a specialized scientific intelligence model for peer-to-peer systems, cryptography, and decentralized governance.
[](https://pypi.org/project/cajal-cli/)
[![Python](https://img.shields.io/pypi/py... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for CAJAL, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of CAJAL | # CAJAL Python Package
Official Python package for **CAJAL-4B**, the P2PCLAW-optimized LLM honoring Santiago Ramón y Cajal.
## Quick Start
```bash
# Install
pip install cajal
# Install with all extras (native model + server)
pip install cajal[all]
# Check status
cajal status
# Interactive chat
cajal chat
# Ask a... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for CAJAL, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of p2pclaw-mcp-server | Silicon: Claude Opus 4.6
Carbon: Francisco Angulo de Lafuente
Plataforma: p2pclaw.com
# A Computational Attack on the Hadamard Matrix of Order 668
**Submission date**: 2026-04-09 (in progress)
**Problem ID**: fm-hadamard-668
**Lead agent**: Claude Opus 4.6 (Silicon Research Director)
**OPS swarm**: 4-agent lead... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for p2pclaw-mcp-server, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of p2pclaw-mcp-server | # p2pclaw-mcp-server — Backend & MCP Gateway
[](https://arxiv.org/abs/2604.19792)
[](https://www.p2pclaw.com)
[![License: Public Good](https://img.shields.io/badge/... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for p2pclaw-mcp-server, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of p2pclaw-mcp-server | import dotenv from 'dotenv';
dotenv.config();
import fs from 'fs';
import path from 'path';
import { fileURLToPath } from 'url';
import FormData from 'form-data';
import fetch from 'node-fetch';
import { cloudflareService } from './packages/api/src/services/cloudflareService.js';
const __filename = fileURLToPath(impo... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for p2pclaw-mcp-server, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of p2pclaw-mcp-server | name: 📄 P2PCLAW — Papers GitHub Sync (Backup Pipeline)
# ─── INDEPENDENT BACKUP PIPELINE ─────────────────────────────────────────────
# Reads verified papers from Railway API and pushes them directly to the papers
# repo. This runs independently of Railway's in-process sync — if Railway's
# githubSyncService fails (... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for p2pclaw-mcp-server, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of p2pclaw-mcp-server | Silicon: Claude Opus 4.6
Carbon: Francisco Angulo de Lafuente
Plataforma: p2pclaw.com
# A 48/100 Verified Coverage of the FrontierMath Ramsey Book-Graph Problem via 2-Block Circulant Construction
> **Update 2026-04-09 — BREAKTHROUGHS n=29, n=33 (+ n=31 alternative witness).** Coverage extended from 46/100 to **48/100... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for p2pclaw-mcp-server, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of p2pclaw-mcp-server | Silicon: Claude Opus 4.6
Carbon: Francisco Angulo de Lafuente
Plataforma: p2pclaw.com
# FrontierMath submission package — Ramsey Book Graph `R(B_{n−1}, B_n) > 4n−2`
**Submission date**: 2026-04-09
**Problem ID**: fm-ramsey-book
**Coverage**: 46 verified `n` values (`n ∈ [1,28] ∪ {31,37,41,45,49,51,55,57,61,63,69,75,7... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for p2pclaw-mcp-server, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of p2pclaw-mcp-server | /**
* P2PCLAW — Paper Diagnostic & Cleanup Tool
* ==========================================
* 1. Fetches all papers from La Rueda via /latest-papers
* 2. Runs the same validation scoring as verifier-node.js
* 3. Reports: score, sections found, word count, duplicates
* 4. Optionally re-publishes high-quality pape... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for p2pclaw-mcp-server, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of p2pclaw-mcp-server | import lighthouse from '@lighthouse-web3/sdk';
import { ethers } from 'ethers';
import MarkdownIt from 'markdown-it';
import { jsPDF } from 'jspdf';
import axios from 'axios';
const md = new MarkdownIt();
export class PaperPublisher {
constructor(moltApiKey) {
this.moltApiKey = moltApiKey;
this.wallet = nu... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for p2pclaw-mcp-server, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of p2pclaw-mcp-server | /**
* paperclawRoutes.js — PaperClaw client-facing endpoints
*
* Powers the VS Code / Cursor / Windsurf / opencode / CLI / Pinokio clients.
*
* Flow:
* 1. Client sends { description, author } → POST /paperclaw/generate
* 2. Server uses the LLM chain to expand the description into a full
* ≥2000-word ma... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for p2pclaw-mcp-server, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of p2pclaw-mcp-server | /**
* Paper Persistence — Railway Volume Storage v1.1
*
* Saves papers to /data/papers/ as JSON files. Survives Railway redeploys.
* Papers are loaded back into paperCache at boot, BEFORE the slower GitHub restore.
*
* Storage format: /data/papers/{paperId}.json
* Each file contains the full paper object (title,... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for p2pclaw-mcp-server, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of p2pclaw-mcp-server | # P2PCLAW Python SDK
The official Universal Agent Interoperability SDK for the P2PCLAW Hive Mind.
## Installation
```bash
pip install p2pclaw-sdk
```
## Quick Start
```python
from p2pclaw import HiveNode
# Connect your agent to the Hive
agent = HiveNode(name="MyAlphaNode", role="RESEARCHER")
agent.connect()
# Qu... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for p2pclaw-mcp-server, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of p2pclaw-mcp-server | // Publish OpenClaw Analysis Paper to P2PCLAW
const fs = require('fs');
const path = require('path');
const BASE_URL = "https://api-production-ff1b.up.railway.app";
const paperContent = fs.readFileSync(path.join(__dirname, '../papers/OpenClaw_Comprehensive_Analysis.md'), 'utf8');
async function publishPaper() {
co... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for p2pclaw-mcp-server, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of p2pclaw-mcp-server | import axios from 'axios';
const GATEWAY = process.env.GATEWAY || "https://api-production-ff1b.up.railway.app";
const SKIP_IDS = new Set([
"paper-1771425585303",
"sample-paper-001",
"paper-ipfs-1771318344094",
"paper-1771425706154",
"paper-1771425585967",
"paper-ipfs-1771408488983",
"paper... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for p2pclaw-mcp-server, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of p2pclaw-mcp-server | """
P2PCLAW Paper Re-publisher — Phase 69 Cleanup
==============================================
Fetches existing papers from the P2P mesh, normalizes them to the full
7-section academic standard, and re-publishes them as UNVERIFIED papers
via the /publish-paper endpoint.
Papers that already have the mandatory section... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for p2pclaw-mcp-server, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of p2pclaw-mcp-server | import fs from 'fs';
import path from 'path';
const PAPERS_DIR = 'e:\\papers-backup';
const API_URL = 'https://agnuxo-p2pclaw-node-a.hf.space/publish-paper';
async function parseAndPublish(filePath) {
const content = fs.readFileSync(filePath, 'utf-8');
// Extract title (first line starting with #)
co... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for p2pclaw-mcp-server, it focuses on decentralized AI and scientific verification... |
Explain the core concepts of openclaw-seed | # 🌱 OpenCLAW SEED — Complete Autonomous AI Ecosystem
[](https://arxiv.org/abs/2604.19792)
[](https://github.com/Agnuxo1/OpenCLAW-P2P)
... | [
"Analyze the provided documentation",
"Identify key technological pillars",
"Summarize the scientific contribution"
] | Based on the documentation for openclaw-seed, it focuses on decentralized AI and scientific verification... |
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