Xpersona

Crawler Summary

dev-team-crew answer-first brief

6-agent AI development team (Researcher, Architect, Implementer, Critic, Tester, DevOps) built with CrewAI + Gemini Dev Team Crew 🤖 A 6-agent AI development team built with $1 and multiple free LLM providers. Agents | # | Agent | Role | |---|-------|------| | 1 | 🔍 **Researcher** | Gathers info, explores options, finds docs | | 2 | 🏗️ **Architect** | Designs system, breaks tasks into steps | | 3 | 💻 **Implementer** | Writes clean, production-ready code | | 4 | 🔎 **Critic** | Reviews for bugs, security, quality | | 5 | 🧪 **Te Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

dev-team-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

CardFactsSnapshotContractTrust
Claim this agent
Agent DossierGITHUB REPOSSafety: 66/100

dev-team-crew

6-agent AI development team (Researcher, Architect, Implementer, Critic, Tester, DevOps) built with CrewAI + Gemini Dev Team Crew 🤖 A 6-agent AI development team built with $1 and multiple free LLM providers. Agents | # | Agent | Role | |---|-------|------| | 1 | 🔍 **Researcher** | Gathers info, explores options, finds docs | | 2 | 🏗️ **Architect** | Designs system, breaks tasks into steps | | 3 | 💻 **Implementer** | Writes clean, production-ready code | | 4 | 🔎 **Critic** | Reviews for bugs, security, quality | | 5 | 🧪 **Te

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

Abdulwasirhabib92 Sketch

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Unpublished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

Abdulwasirhabib92 Sketch

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

6

Snippets

0

Languages

python

Executable Examples

bash

# 1. Clone the repo
git clone https://github.com/abdulwasirhabib92-sketch/dev-team-crew.git
cd dev-team-crew

# 2. Install dependencies
pip install -r requirements.txt

# 3. Set up environment — add at least one API key
cp .env.example .env
# Edit .env with your API keys

# 4. Run via CLI
python main.py "Build a REST API for a todo app"

# 5. Or run as a web API
uvicorn main:app --host 0.0.0.0 --port 8000

env

RESEARCHER_LLM=gemini
ARCHITECT_LLM=groq
IMPLEMENTER_LLM=gemini
CRITIC_LLM=groq
TESTER_LLM=gemini
DEVOPS_LLM=groq

bash

curl -X POST http://localhost:8000/run \
  -H "Content-Type: application/json" \
  -d '{"topic": "Build a REST API for a todo app"}'

bash

curl -X POST http://localhost:8000/run \
  -H "Content-Type: application/json" \
  -d '{"topic": "Build a REST API for a todo app"}'

text

Researcher → Architect → Implementer → Critic → Tester → DevOps

bash

docker build -t dev-team-crew .
docker run -p 10000:10000 \
  -e GEMINI_API_KEY=your_key \
  -e GROQ_API_KEY=your_key \
  dev-team-crew

Docs & README

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

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

6-agent AI development team (Researcher, Architect, Implementer, Critic, Tester, DevOps) built with CrewAI + Gemini Dev Team Crew 🤖 A 6-agent AI development team built with $1 and multiple free LLM providers. Agents | # | Agent | Role | |---|-------|------| | 1 | 🔍 **Researcher** | Gathers info, explores options, finds docs | | 2 | 🏗️ **Architect** | Designs system, breaks tasks into steps | | 3 | 💻 **Implementer** | Writes clean, production-ready code | | 4 | 🔎 **Critic** | Reviews for bugs, security, quality | | 5 | 🧪 **Te

Full README

Dev Team Crew 🤖

A 6-agent AI development team built with CrewAI and multiple free LLM providers.

Agents

| # | Agent | Role | |---|-------|------| | 1 | 🔍 Researcher | Gathers info, explores options, finds docs | | 2 | 🏗️ Architect | Designs system, breaks tasks into steps | | 3 | 💻 Implementer | Writes clean, production-ready code | | 4 | 🔎 Critic | Reviews for bugs, security, quality | | 5 | 🧪 Tester | Writes and runs tests, reports failures | | 6 | 🚀 DevOps | Handles deployment, CI/CD, infrastructure |

Supported LLM Providers (all have free tiers!)

| Provider | Free Tier | Get API Key | |----------|-----------|-------------| | Google Gemini | ✅ | https://aistudio.google.com/apikey | | Groq | ✅ | https://console.groq.com/keys | | OpenRouter | ✅ (free models) | https://openrouter.ai/keys | | Hugging Face | ✅ | https://huggingface.co/settings/tokens | | OpenAI | ❌ (paid) | https://platform.openai.com/api-keys | | Anthropic | ❌ (paid) | https://console.anthropic.com/ |

You can use any combination of providers. Each agent can use a different LLM via environment routing.

Quick Start

# 1. Clone the repo
git clone https://github.com/abdulwasirhabib92-sketch/dev-team-crew.git
cd dev-team-crew

# 2. Install dependencies
pip install -r requirements.txt

# 3. Set up environment — add at least one API key
cp .env.example .env
# Edit .env with your API keys

# 4. Run via CLI
python main.py "Build a REST API for a todo app"

# 5. Or run as a web API
uvicorn main:app --host 0.0.0.0 --port 8000

Per-Agent LLM Routing

Control which provider each agent uses in .env:

RESEARCHER_LLM=gemini
ARCHITECT_LLM=groq
IMPLEMENTER_LLM=gemini
CRITIC_LLM=groq
TESTER_LLM=gemini
DEVOPS_LLM=groq

Leave any unset and it auto-detects the first available provider.

Why Multiple APIs?

  • Redundancy — if one provider is down, others keep the team running
  • Cost optimization — mix free and paid providers strategically
  • Model diversity — different models excel at different tasks (e.g., Gemini for research, Groq for fast code generation)
  • Rate limit relief — spread requests across providers to avoid hitting limits

API Endpoints

| Method | Path | Description | |--------|------|-------------| | GET | / | Service info, agent list, active providers | | GET | /health | Health check | | POST | /run | Run the crew with a task |

Example API Call

curl -X POST http://localhost:8000/run \
  -H "Content-Type: application/json" \
  -d '{"topic": "Build a REST API for a todo app"}'

How It Works

The crew runs sequentially:

Researcher → Architect → Implementer → Critic → Tester → DevOps
  1. Researcher investigates the topic and finds best approaches
  2. Architect designs the system and creates an implementation plan
  3. Implementer writes the code based on the plan
  4. Critic reviews the code for bugs, security, and quality
  5. Tester writes tests and reports any failures
  6. DevOps sets up deployment, Docker, and CI/CD

Deployment

Render (free tier)

  1. Push to GitHub
  2. Create a new Web Service on Render
  3. Connect your GitHub repo
  4. Render auto-detects render.yaml
  5. Add your API keys as environment variables
  6. Deploy!

Docker

docker build -t dev-team-crew .
docker run -p 10000:10000 \
  -e GEMINI_API_KEY=your_key \
  -e GROQ_API_KEY=your_key \
  dev-team-crew

License

MIT

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-abdulwasirhabib92-sketch-dev-team-crew/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-abdulwasirhabib92-sketch-dev-team-crew/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-abdulwasirhabib92-sketch-dev-team-crew/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.

Related Agents

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-abdulwasirhabib92-sketch-dev-team-crew/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-abdulwasirhabib92-sketch-dev-team-crew/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-abdulwasirhabib92-sketch-dev-team-crew/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-abdulwasirhabib92-sketch-dev-team-crew/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-abdulwasirhabib92-sketch-dev-team-crew/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-abdulwasirhabib92-sketch-dev-team-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": "2026-10-09T20:25:19.065Z"
    }
  },
  "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": "Abdulwasirhabib92 Sketch",
    "href": "https://github.com/abdulwasirhabib92-sketch/dev-team-crew",
    "sourceUrl": "https://github.com/abdulwasirhabib92-sketch/dev-team-crew",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T13:52:37.757Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-abdulwasirhabib92-sketch-dev-team-crew/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-abdulwasirhabib92-sketch-dev-team-crew/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T13:52:37.757Z",
    "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-abdulwasirhabib92-sketch-dev-team-crew/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-abdulwasirhabib92-sketch-dev-team-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
  }
]

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Ads related to dev-team-crew and adjacent AI workflows.