How should debate-agents be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Claim this agent

Agent DossierGITHUB OPENCLEWSafety 66/100

Xpersona Agent

debate-agents

Multi agent AI debate simulation system built with CrewAI, FastAPI, and Next.js. Agents debate real-world topics using live web grounding and are evaluated by a structured AI judge panel, visualized through a strategic card based UI. AI Debate Arena: A Multi Agent, Web Grounded Debate Simulation System AI Debate Arena is a full stack multi agent system that simulates structured debates between AI agents representing real-world personas. The system orchestrates autonomous agents, grounds their reasoning using live web search, and evaluates outcomes using a structured three-judge panel. The project is designed as a production grade demonstration of

OpenClaw · self-declared

Trust evidence available

View Source

git clone https://github.com/mmaazkhanhere/debate-agents.git

Overall rank

#20

Adoption

No public adoption signal

Trust

Unknown

Freshness

May 19, 2026

Freshness

Last checked May 19, 2026

Best For

debate-agents is best for crewai, multi-agent workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack

Overview Evidence & Timeline Artifacts & Docs API & Reliability Media & Related Machine Appendix

Overview

Key links, install path, reliability highlights, and the shortest practical read before diving into the crawl record.

Verifiededitorial-content

Overview

Executive Summary

No verified compatibility signals

Trust score

Unknown

Compatibility

OpenClaw

Freshness

May 19, 2026

Vendor

Mmaazkhanhere

Artifacts

Benchmarks

Last release

Unpublished

Install & run

Setup Snapshot

git clone https://github.com/mmaazkhanhere/debate-agents.git

1
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
2
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence & Timeline

Public facts grouped by evidence type, plus release and crawl events with provenance and freshness.

Verifiededitorial-content

Public facts

Evidence Ledger

Vendor (1)

Vendor

Mmaazkhanhere

profilemedium

Observed May 12, 2026Source link Provenance

Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium

Observed May 12, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium

Observed Apr 15, 2026Source link Provenance

Events

Release & Crawl Timeline

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts & Docs

Parameters, dependencies, examples, extracted files, editorial overview, and the complete README when available.

Self-declaredGITHUB OPENCLEW

Captured outputs

Artifacts Archive

Extracted files

Examples

Snippets

Languages

python

Executable Examples

bash

git clone <repository-url>
cd <repository-root>
cp .env.example .env

bash

docker compose up --build

text

backend/        # FastAPI + CrewAI orchestration
frontend/       # Next.js UI
docker-compose.yml
docker-compose.prod.yml

Editorial read

Docs & README

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Full README

AI Debate Arena: A Multi Agent, Web Grounded Debate Simulation System

AI Debate Arena is a full stack multi agent system that simulates structured debates between AI agents representing real-world personas. The system orchestrates autonomous agents, grounds their reasoning using live web search, and evaluates outcomes using a structured three-judge panel.

The project is designed as a production grade demonstration of:

Multi agent orchestration with CrewAI
Web grounded reasoning via DuckDuckGo
Real time event streaming with Server-Sent Events (SSE)
Structured debate evaluation
A card based strategic UI abstraction
Full Dockerized reproducibility

What This Project Demonstrates

This repository showcases a complete production style AI system, including:

Autonomous AI agents debating sequentially over a fixed number of rounds
Mandatory web grounding to incorporate current information
Redis backed streaming and concurrency control
Celery powered asynchronous execution
SQLite persistence for debate history and analytics
A modern Next.js frontend visualizing debates as tactical argument cards
A three agent judge panel scoring debates using structured rubrics

The entire stack runs locally using Docker Compose with minimal setup.

Card Based Debate Visualization

Instead of rendering debates as simple chat messages, the frontend abstracts each agent response into a structured argument card.

Each move includes:

A Move Type (Attack, Defense, Refute, etc.)
A Power Level representing argumentative strength
The Generated Argument
Web grounded supporting context
Structured judge evaluation

This approach transforms debate into a turn based strategic exchange rather than a basic chatbot conversation. It makes agent reasoning more interpretable, comparable, and engaging.

How the System Works

Debates follow a structured lifecycle:

A user selects two debaters and a topic.
The backend creates a debate session.
Agents take sequential turns for a fixed number of rounds.
Each turn is grounded using live DuckDuckGo search.
Debate events are streamed in real time to the frontend.
After final arguments, three independent judge agents evaluate performance.
Results are stored and made available for analytics.

All agents use the same temperature configuration, and debates are time limited and deterministic in structure.

Architecture Overview

The system consists of the following components:

Frontend

Next.js App Router
Real-time SSE event consumption
XState orchestration
Card-based debate UI

Backend

FastAPI API server
CrewAI debate flow orchestration
Celery worker for asynchronous execution
Redis for broker, cache, locks, and streaming
SQLite for persistence

Infrastructure

Docker + Docker Compose
Separate dev and production configurations

Quick Start

The entire stack can be started locally with Docker.

git clone <repository-url>
cd <repository-root>
cp .env.example .env

Add required API keys to .env (for example, GROQ_API_KEY).

Then run:

docker compose up --build

Access the application at:

Frontend: http://localhost:3000
Backend API Docs: http://localhost:8000/docs

This will start:

FastAPI backend
Celery worker
Celery beat scheduler
Redis
Next.js frontend

No additional setup is required.

Example Debate

You can try:

Watch Elon Musk debate Donald Trump about DOGE (Department of Government Efficiency) performance and see a neutral three judge AI panel score them.

This example demonstrates:

Multi agent coordination
Real time streaming
Web grounded reasoning
Structured judge scoring

Repository Structure

backend/        # FastAPI + CrewAI orchestration
frontend/       # Next.js UI
docker-compose.yml
docker-compose.prod.yml

Each directory contains its own detailed README explaining service-specific configuration and development workflows.

Analytics & Persistence

The system tracks:

Debate duration
Token usage
Cost estimation
Judge scoring
Historical sessions

SQLite is used for local persistence. For production environments, a full relational database is recommended.

Security and Responsible Use

This system generates AI-simulated debates involving real public figures.

Important considerations:

Outputs are generated by large language models.
Content may contain inaccuracies or bias.
Statements do not represent real individuals.
The project is not affiliated with or endorsed by any real person referenced.
The system is intended for educational and demonstration purposes only.

API keys should never be committed to the repository. Production deployments should use secure secret management systems.

Production Considerations

For production-grade deployment, consider:

Replacing SQLite with PostgreSQL
Using managed Redis with persistence policies
Adding TLS termination and reverse proxy
Implementing proper authentication and authorization
Adding structured logging and monitoring
Implementing CI/CD pipelines

Contributing

Contributions are welcome.

If you would like to improve the system:

Create a feature branch.
Make focused commits.
Ensure Docker builds successfully.
Open a pull request with a clear description of changes.

Please maintain architectural consistency and avoid breaking changes to core orchestration flows without discussion.

API & Reliability

Machine endpoints, contract coverage, trust signals, runtime metrics, benchmarks, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Machine interfaces

Contract & API

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

missing

Auth

None

Streaming

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.

Invocation examples

curl -s "https://www.xpersona.co/api/v1/agents/crewai-mmaazkhanhere-debate-agents/snapshot"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-mmaazkhanhere-debate-agents/contract"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-mmaazkhanhere-debate-agents/trust"

Operational fit

Reliability & Benchmarks

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.

No benchmark suites or observed failure patterns are available.

Machine Appendix

Raw contract, invocation, trust, capability, facts, and change-event payloads for machine-side inspection.

MissingGITHUB OPENCLEW

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://www.xpersona.co/api/v1/agents/crewai-mmaazkhanhere-debate-agents/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-mmaazkhanhere-debate-agents/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-mmaazkhanhere-debate-agents/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-mmaazkhanhere-debate-agents/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-mmaazkhanhere-debate-agents/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-mmaazkhanhere-debate-agents/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-10-09T01:58:06.762Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "crewai",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "multi-agent",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "label": "Vendor",
    "value": "Mmaazkhanhere",
    "category": "vendor",
    "href": "https://github.com/mmaazkhanhere/debate-agents",
    "sourceUrl": "https://github.com/mmaazkhanhere/debate-agents",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-05-12T06:46:03.897Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "protocols",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "category": "compatibility",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-mmaazkhanhere-debate-agents/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-mmaazkhanhere-debate-agents/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-05-12T06:46:03.897Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "docs_crawl",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "category": "integration",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "handshake_status",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "category": "security",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-mmaazkhanhere-debate-agents/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-mmaazkhanhere-debate-agents/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true,
    "metadata": {}
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true,
    "metadata": {}
  }
]

Overview

Executive Summary

Setup Snapshot

Evidence & Timeline

Evidence Ledger

Release & Crawl Timeline

Artifacts & Docs

Artifacts Archive

Docs & README

AI Debate Arena: A Multi Agent, Web Grounded Debate Simulation System

What This Project Demonstrates

Card Based Debate Visualization

How the System Works

Architecture Overview

Frontend

Backend

Infrastructure

Quick Start

Example Debate

Repository Structure

Analytics & Persistence

Security and Responsible Use

Production Considerations

Contributing

API & Reliability

Contract & API

Reliability & Benchmarks

Media & Related

Media & Demo

Related Agents

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cherry-studio

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Machine Appendix