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Consensus-AI

Author: Mikhail Deynekin – https://Deynekin.comMikhail@Deynekin.com
Version: 1.0.0 (2026-04-27)
License: MIT

Overview

Consensus-AI is a PHP 8.4 web application implementing an OpenCorum-style AI council for deliberative intelligence. It uses multiple LLMs simultaneously through BotHub.chat API, combines their outputs via a structured consensus engine, and surfaces full transparency through an interactive "Details" diagram for every answer.

Inspired by OpenCorum and the CAIS API.

Key Features

  • Multi-model, multi-role council sessions via BotHub.chat (OpenAI-compatible)
  • SKILLS system: declarative JSON workflows defining agent roles, prompts, and consensus rules
  • Auto-selection or auto-creation of the most relevant SKILL per query
  • Vector memory: chunk storage + retrieval for short-term and long-term context
  • Full audit trail: every model response, every step, every consensus score persisted in MySQL
  • Interactive "Details" button: clickable DAG showing the entire council flow
  • PHP 8.4 strict types, readonly properties, enums throughout
  • MySQL 8.x via PDO with prepared statements and explicit transactions

Repository Structure

Consensus-AI/
├── README.md
├── docs/
│   ├── Part1-Architecture.md         # Overall concept, functional requirements, tech stack
│   ├── Part2-Skills.md               # SKILL JSON schema + 4 concrete SKILLS
│   ├── Part3-Database-Interfaces.md  # MySQL DDL + PHP interfaces
│   ├── Part4-CouncilEngine-API.md    # CouncilEngine layers + API endpoints
│   ├── Part5-Controllers-Flow.md     # HTTP controllers + downgrade mitigation
│   └── Part6-CouncilEngine.md        # Full CouncilEngine PHP 8.4 module
├── src/
│   ├── Application/
│   │   ├── Council/
│   │   │   └── CouncilEngine.php
│   │   ├── Skill/
│   │   └── Memory/
│   ├── Domain/
│   │   ├── Council/
│   │   ├── Skill/
│   │   └── Memory/
│   ├── Infrastructure/
│   │   └── LLM/
│   └── Http/
│       └── Controller/
└── db/
    └── schema.sql

Architecture (4-Layer Council)

User Query
    │
    ▼
[L0] Skill Router ──► Auto-create SKILL if needed
    │
    ▼
[L1] Query Distribution ──► Parallel calls to multiple roles + models
    │
    ▼
[L2] Response Normalization ──► JSON schema enforcement per role
    │
    ▼
[L3] Consensus Analysis ──► Agreement scores, conflict detection
    │
    ▼
[L4] Decision Synthesis ──► Final answer + audit trail
    │
    ▼
Final Answer + [Details] button

Built-in SKILLS

Slug Purpose Roles
webapp_architect PHP+MySQL+vector store architecture Solution Architect, Scalability Expert, Security Engineer
db_performance_optimizer MySQL query/schema optimization Query Profiler, Storage Designer, Migration Planner
php_code_refiner PHP 8.4 code refactoring Senior PHP Reviewer, Error-Handling Specialist, Future-Proofing Reviewer
ux_frontend_collaborator Modern 2026 UI/UX design UX Designer, UI Engineer, Interaction Designer

Quick Start

  1. Clone the repository
  2. Configure .env with your BotHub API key and MySQL credentials
  3. Run db/schema.sql against your MySQL 8.x instance
  4. Configure a vector store (Qdrant recommended, or MySQL-inline fallback)
  5. Start the PHP built-in server or deploy to your web server

Documentation

All design decisions, schemas, and module breakdowns are documented in docs/.

Links

About

Consensus is an AI research assistant that helps me rapidly discover, verify, and synthesize evidence from peer‑reviewed literature across domains like AI, software engineering, and decision science, turning scattered findings into clear, actionable insights.

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