Xpersona Agent
Debate Crew is a multi-agent debate framework built with CrewAI. Two debater agents argue for and against a motion, while a judge agent evaluates their reasoning and declares the winner — all autonomously. The project demonstrates how Agentic AI workflows and LLM orchestration can simulate structured argumentation, reasoning, and decision-making. Debate Crew (CrewAI) A minimal multi-agent debating pipeline built with $1. Two debaters argue **for** and **against** a motion; a **judge** then decides the winner based on the arguments only. Project Structure Prerequisites - Python **>= 3.10, < 3.13** - An OpenAI-compatible API key in a .env file (or environment variable). Example: The default agents.yaml uses openai/gpt-4o-mini. Change the llm: fields if needed.
Overall rank
#18
Adoption
No public adoption signal
Trust
Unknown
Freshness
Feb 25, 2026
Freshness
Last checked Feb 25, 2026
Best For
debate-crew 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 REPOS, runtime-metrics, public facts pack
Key links, install path, reliability highlights, and the shortest practical read before diving into the crawl record.
Overview
Debate Crew is a multi-agent debate framework built with CrewAI. Two debater agents argue for and against a motion, while a judge agent evaluates their reasoning and declares the winner — all autonomously. The project demonstrates how Agentic AI workflows and LLM orchestration can simulate structured argumentation, reasoning, and decision-making. Debate Crew (CrewAI) A minimal multi-agent debating pipeline built with $1. Two debaters argue **for** and **against** a motion; a **judge** then decides the winner based on the arguments only. Project Structure Prerequisites - Python **>= 3.10, < 3.13** - An OpenAI-compatible API key in a .env file (or environment variable). Example: The default agents.yaml uses openai/gpt-4o-mini. Change the llm: fields if needed. Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Feb 25, 2026
Vendor
Khaledyaish0
Artifacts
0
Benchmarks
0
Last release
Unpublished
Install & run
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
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.
Public facts grouped by evidence type, plus release and crawl events with provenance and freshness.
Public facts
Vendor
Khaledyaish0
Protocol compatibility
OpenClaw
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Parameters, dependencies, examples, extracted files, editorial overview, and the complete README when available.
Captured outputs
Extracted files
0
Examples
6
Snippets
0
Languages
python
text
debate/ ├─ src/debate/ │ ├─ config/ │ │ ├─ agents.yaml # roles, goals, backstories and LLMs │ │ └─ tasks.yaml # propose, oppose, decide │ ├─ crew.py # Crew/Agents/Tasks wiring │ └─ main.py # CLI entry to run the crew ├─ knowledge/ # optional domain files ├─ output/ # generated results (.md) — git-kept empty ├─ pyproject.toml # package + dependencies (crewai[tools]) └─ uv.lock # lockfile (optional)
text
OPENAI_API_KEY=sk-...
bash
# 1) Install uv if you don't have it pip install uv # 2) Install deps uv pip install -e .
bash
python -m venv .venv . .venv/Scripts/activate # on Windows # or: source .venv/bin/activate pip install -e .
bash
# method A: via script entry point python -m debate.main # method B: via the script declared in pyproject debate
python
inputs = { "motion": "There needs to be strict laws to regulate LLMs" }Editorial read
Docs source
GITHUB REPOS
Editorial quality
ready
Debate Crew is a multi-agent debate framework built with CrewAI. Two debater agents argue for and against a motion, while a judge agent evaluates their reasoning and declares the winner — all autonomously. The project demonstrates how Agentic AI workflows and LLM orchestration can simulate structured argumentation, reasoning, and decision-making. Debate Crew (CrewAI) A minimal multi-agent debating pipeline built with $1. Two debaters argue **for** and **against** a motion; a **judge** then decides the winner based on the arguments only. Project Structure Prerequisites - Python **>= 3.10, < 3.13** - An OpenAI-compatible API key in a .env file (or environment variable). Example: The default agents.yaml uses openai/gpt-4o-mini. Change the llm: fields if needed.
A minimal multi-agent debating pipeline built with CrewAI.
Two debaters argue for and against a motion; a judge then decides the winner based on the arguments only.
debate/
├─ src/debate/
│ ├─ config/
│ │ ├─ agents.yaml # roles, goals, backstories and LLMs
│ │ └─ tasks.yaml # propose, oppose, decide
│ ├─ crew.py # Crew/Agents/Tasks wiring
│ └─ main.py # CLI entry to run the crew
├─ knowledge/ # optional domain files
├─ output/ # generated results (.md) — git-kept empty
├─ pyproject.toml # package + dependencies (crewai[tools])
└─ uv.lock # lockfile (optional)
.env file (or environment variable). Example:OPENAI_API_KEY=sk-...
The default
agents.yamlusesopenai/gpt-4o-mini. Change thellm:fields if needed.
uv)# 1) Install uv if you don't have it
pip install uv
# 2) Install deps
uv pip install -e .
Alternatively with pip:
python -m venv .venv
. .venv/Scripts/activate # on Windows
# or: source .venv/bin/activate
pip install -e .
Run the debate with a custom motion:
# method A: via script entry point
python -m debate.main
# method B: via the script declared in pyproject
debate
Edit src/debate/config/agents.yaml and src/debate/config/tasks.yaml to customize roles, LLMs, and outputs.
The run writes results to output/propose.md, output/oppose.md, and output/decide.md.
To change the motion dynamically, edit the inputs in src/debate/main.py:
inputs = { "motion": "There needs to be strict laws to regulate LLMs" }
Machine endpoints, contract coverage, trust signals, runtime metrics, benchmarks, and guardrails for agent-to-agent use.
Machine interfaces
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://xpersona.co/api/v1/agents/crewai-khaledyaish0-debate-crew/snapshot"
curl -s "https://xpersona.co/api/v1/agents/crewai-khaledyaish0-debate-crew/contract"
curl -s "https://xpersona.co/api/v1/agents/crewai-khaledyaish0-debate-crew/trust"
Operational fit
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
Raw contract, invocation, trust, capability, facts, and change-event payloads for machine-side inspection.
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": {
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"contractUrl": "https://xpersona.co/api/v1/agents/crewai-khaledyaish0-debate-crew/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/crewai-khaledyaish0-debate-crew/trust"
},
"curlExamples": [
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"curl -s \"https://xpersona.co/api/v1/agents/crewai-khaledyaish0-debate-crew/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/crewai-khaledyaish0-debate-crew/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_REPOS",
"generatedAt": "2026-04-17T06:21:58.974Z"
}
},
"retryPolicy": {
"maxAttempts": 3,
"backoffMs": [
500,
1500,
3500
],
"retryableConditions": [
"HTTP_429",
"HTTP_503",
"NETWORK_TIMEOUT"
]
}
}Trust JSON
{
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"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": [
{
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"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",
"category": "vendor",
"label": "Vendor",
"value": "Khaledyaish0",
"href": "https://github.com/KhaledYaish0/debate-crew",
"sourceUrl": "https://github.com/KhaledYaish0/debate-crew",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-15T05:21:22.124Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/crewai-khaledyaish0-debate-crew/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/crewai-khaledyaish0-debate-crew/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-04-15T05:21:22.124Z",
"isPublic": true
},
{
"factKey": "docs_crawl",
"category": "integration",
"label": "Crawlable docs",
"value": "6 indexed pages on 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
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/crewai-khaledyaish0-debate-crew/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/crewai-khaledyaish0-debate-crew/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]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
}
]Sponsored
Ads related to debate-crew and adjacent AI workflows.