Xpersona

Crawler Summary

agent-personas answer-first brief

50+ battle-tested AI agent personality templates. For CrewAI, AutoGen, LangGraph, or raw LLM calls. Agent Personas **41 battle-tested AI agent personality templates.** For anyone building multi-agent systems with CrewAI, AutoGen, LangGraph, Claude, or raw LLM calls. Copy a persona. Paste into your agent's system prompt. Done. Categories - **Coding** (7 personas) — speed_builder, architect, security_auditor, minimalist, debugger, code_reviewer, devops - **Business** (6 personas) — market_analyst, revenue_designer, c Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

agent-personas 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

CardFactsSnapshotContractTrust
Claim this agent
Agent DossierGITHUB REPOSSafety: 66/100

agent-personas

50+ battle-tested AI agent personality templates. For CrewAI, AutoGen, LangGraph, or raw LLM calls. Agent Personas **41 battle-tested AI agent personality templates.** For anyone building multi-agent systems with CrewAI, AutoGen, LangGraph, Claude, or raw LLM calls. Copy a persona. Paste into your agent's system prompt. Done. Categories - **Coding** (7 personas) — speed_builder, architect, security_auditor, minimalist, debugger, code_reviewer, devops - **Business** (6 personas) — market_analyst, revenue_designer, c

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Oct 9, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Oct 9, 2026

Vendor

Noumenon Ai

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

View Source

Setup snapshot

  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 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 Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Noumenon Ai

profilemedium
Observed Oct 9, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Oct 9, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

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 Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB REPOS

Extracted files

0

Examples

5

Snippets

0

Languages

python

Executable Examples

bash

# Clone the repo
git clone https://github.com/noumenon-ai/agent-personas.git

# Use a persona
cat agent-personas/coding/speed_builder.md
# Copy the Personality section into your agent's system prompt

python

from crewai import Agent

speed_builder = Agent(
    role="Speed Builder",
    goal="Ship working code as fast as possible",
    backstory=open("coding/speed_builder.md").read(),
)

python

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

architect = AssistantAgent(
    name="architect",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    system_message=open("coding/architect.md").read(),
)

python

# The persona file is the system message for your agent node
system_prompt = open("coding/architect.md").read()

python

messages = [
    {"role": "system", "content": open("security/red_teamer.md").read()},
    {"role": "user", "content": "Audit this authentication flow..."},
]

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

50+ battle-tested AI agent personality templates. For CrewAI, AutoGen, LangGraph, or raw LLM calls. Agent Personas **41 battle-tested AI agent personality templates.** For anyone building multi-agent systems with CrewAI, AutoGen, LangGraph, Claude, or raw LLM calls. Copy a persona. Paste into your agent's system prompt. Done. Categories - **Coding** (7 personas) — speed_builder, architect, security_auditor, minimalist, debugger, code_reviewer, devops - **Business** (6 personas) — market_analyst, revenue_designer, c

Full README

Agent Personas

41 battle-tested AI agent personality templates.

For anyone building multi-agent systems with CrewAI, AutoGen, LangGraph, Claude, or raw LLM calls.

Copy a persona. Paste into your agent's system prompt. Done.

Categories

  • Coding (7 personas) — speed_builder, architect, security_auditor, minimalist, debugger, code_reviewer, devops
  • Business (6 personas) — market_analyst, revenue_designer, copywriter, growth_hacker, customer_advocate, legal_advisor
  • Trading (7 personas) — value_investor, contrarian, growth_investor, quant, momentum_trader, risk_manager, bull_bear_pair
  • Security (6 personas) — red_teamer, blue_teamer, osint_analyst, threat_hunter, forensics, social_engineer
  • Research (5 personas) — deep_researcher, fact_checker, competitive_intel, trend_spotter, devil_advocate
  • Creative (5 personas) — visual_designer, brand_strategist, content_creator, ux_writer, art_director
  • Meta (5 personas) — observer, mediator, project_manager, quality_gate, retrospective
  • Templates (2 files) — blank persona template, debate format guide

Quick Start

# Clone the repo
git clone https://github.com/noumenon-ai/agent-personas.git

# Use a persona
cat agent-personas/coding/speed_builder.md
# Copy the Personality section into your agent's system prompt

Usage

These are framework-agnostic markdown system prompts. There is no SDK and no integration layer: you read the file and pass its contents to your framework's system-prompt (or backstory) parameter. Works with any LLM.

With CrewAI

from crewai import Agent

speed_builder = Agent(
    role="Speed Builder",
    goal="Ship working code as fast as possible",
    backstory=open("coding/speed_builder.md").read(),
)

With AutoGen (AgentChat)

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

architect = AssistantAgent(
    name="architect",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    system_message=open("coding/architect.md").read(),
)

With LangGraph

# The persona file is the system message for your agent node
system_prompt = open("coding/architect.md").read()

With raw API calls

messages = [
    {"role": "system", "content": open("security/red_teamer.md").read()},
    {"role": "user", "content": "Audit this authentication flow..."},
]

Multi-Agent Debates

See templates/DEBATE_FORMAT.md for how to structure productive debates between agents.

Contributing

Built a great persona? PR it. Include: name, role, personality, pitch format, debate rules, weakness.

License

MIT

Part of the NOUMENON ecosystem. NOUMENON uses 17 specialized agents that debate before building. These templates are simplified, generic versions — useful starting points for your own multi-agent systems.

Built by Noumenon

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB REPOS

Endpoints

Dossier APISnapshot APIContract APITrust API

Contract coverage

Status

missing

Auth

None

Streaming

No

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-noumenon-ai-agent-personas/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-noumenon-ai-agent-personas/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-noumenon-ai-agent-personas/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

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.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

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Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

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Machine Appendix

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-noumenon-ai-agent-personas/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-noumenon-ai-agent-personas/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-noumenon-ai-agent-personas/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-noumenon-ai-agent-personas/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-noumenon-ai-agent-personas/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-noumenon-ai-agent-personas/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-09T19:50:08.443Z"
    }
  },
  "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",
    "category": "vendor",
    "label": "Vendor",
    "value": "Noumenon Ai",
    "href": "https://github.com/Noumenon-ai/agent-personas",
    "sourceUrl": "https://github.com/Noumenon-ai/agent-personas",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T05:12:16.474Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-noumenon-ai-agent-personas/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-noumenon-ai-agent-personas/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T05:12:16.474Z",
    "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://www.xpersona.co/api/v1/agents/crewai-noumenon-ai-agent-personas/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-noumenon-ai-agent-personas/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
  }
]

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