Xpersona

Crawler Summary

EngineeringTeam answer-first brief

an autonomous multi-agent engineering team using CrewAI that takes any software idea and delivers a fully runnable project end-to-end. Six specialized AI agents — Tech Lead, Backend Engineer, Frontend Engineer, QA Engineer, DevOps Engineer, and Project Builder Engineering Team Crew An autonomous AI engineering team built with $1 that takes a software topic and produces a fully runnable project — architecture plan, backend code, frontend code, QA report, CI/CD config, and all source files on disk. How it works You provide a topic (a feature, a product idea, a system to build). Six specialized AI agents collaborate in sequence to deliver a complete, production-ready project Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

EngineeringTeam 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
Agent DossierGITHUB REPOSSafety: 66/100

EngineeringTeam

an autonomous multi-agent engineering team using CrewAI that takes any software idea and delivers a fully runnable project end-to-end. Six specialized AI agents — Tech Lead, Backend Engineer, Frontend Engineer, QA Engineer, DevOps Engineer, and Project Builder Engineering Team Crew An autonomous AI engineering team built with $1 that takes a software topic and produces a fully runnable project — architecture plan, backend code, frontend code, QA report, CI/CD config, and all source files on disk. How it works You provide a topic (a feature, a product idea, a system to build). Six specialized AI agents collaborate in sequence to deliver a complete, production-ready project

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

Angshuman Nandy

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Unpublished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

Angshuman Nandy

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

text

Topic → Tech Lead → Backend → Frontend → QA → DevOps → Project Builder → output/project/

text

output/
  plan/plan_report.md
  backend/backend_report.md
  frontend/frontend_report.md
  qa/qa_report.md
  devops/devops_report.md
  project/          ← complete runnable project lives here
    backend/
    frontend/
    tests/
    Dockerfile(s)
    docker-compose.yml
    README.md
    ...

bash

# 1. Clone and enter the repo
git clone <repo-url>
cd EngineeringTeam

# 2. Install dependencies
uv sync

# 3. Configure your API key
cp .env.example .env
# Edit .env and set OPENAI_API_KEY (or ANTHROPIC_API_KEY + MODEL)

bash

uv run engineering-team "Build a REST API with JWT authentication"

bash

uv run engineering-team --file topic.txt

bash

echo "Build a real-time chat application" | uv run engineering-team

Docs & README

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

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

an autonomous multi-agent engineering team using CrewAI that takes any software idea and delivers a fully runnable project end-to-end. Six specialized AI agents — Tech Lead, Backend Engineer, Frontend Engineer, QA Engineer, DevOps Engineer, and Project Builder Engineering Team Crew An autonomous AI engineering team built with $1 that takes a software topic and produces a fully runnable project — architecture plan, backend code, frontend code, QA report, CI/CD config, and all source files on disk. How it works You provide a topic (a feature, a product idea, a system to build). Six specialized AI agents collaborate in sequence to deliver a complete, production-ready project

Full README

Engineering Team Crew

An autonomous AI engineering team built with CrewAI that takes a software topic and produces a fully runnable project — architecture plan, backend code, frontend code, QA report, CI/CD config, and all source files on disk.

How it works

You provide a topic (a feature, a product idea, a system to build). Six specialized AI agents collaborate in sequence to deliver a complete, production-ready project under output/project/.

Topic → Tech Lead → Backend → Frontend → QA → DevOps → Project Builder → output/project/

Agents

| Agent | Role | |---|---| | Tech Lead | Breaks the topic into an architecture plan with tasks, risks, and acceptance criteria | | Backend Engineer | Implements server-side APIs, data models, and business logic | | Frontend Engineer | Builds UI components, state management, and API integration | | QA Engineer | Reviews code, designs a test plan, and writes critical test cases | | DevOps Engineer | Creates Dockerfiles, CI/CD pipelines, and deployment documentation | | Project Builder | Synthesizes all outputs and writes every file to output/project/ |

The Backend and Frontend engineers run with code_execution_mode="safe" (Docker sandbox), so they can actually execute the code they write.

Tasks & outputs

Each agent writes a Markdown report to output/:

output/
  plan/plan_report.md
  backend/backend_report.md
  frontend/frontend_report.md
  qa/qa_report.md
  devops/devops_report.md
  project/          ← complete runnable project lives here
    backend/
    frontend/
    tests/
    Dockerfile(s)
    docker-compose.yml
    README.md
    ...

Prerequisites

  • Python 3.12+
  • uv (recommended) or pip
  • Docker (required for code-execution sandbox and the generated project)
  • An OpenAI API key (or Anthropic API key — see .env.example)

Setup

# 1. Clone and enter the repo
git clone <repo-url>
cd EngineeringTeam

# 2. Install dependencies
uv sync

# 3. Configure your API key
cp .env.example .env
# Edit .env and set OPENAI_API_KEY (or ANTHROPIC_API_KEY + MODEL)

Usage

Pass a topic directly:

uv run engineering-team "Build a REST API with JWT authentication"

Pass a topic from a file:

uv run engineering-team --file topic.txt

Pipe a topic via stdin:

echo "Build a real-time chat application" | uv run engineering-team

When finished, the complete project is in output/project/ and can typically be started with:

cd output/project
docker-compose up

Training

To train the crew for a number of iterations:

uv run engineering-team-train <n_iterations> "your topic"

Running tests

uv run pytest

Project structure

src/engineering_team/
  crew.py          # Agent and task definitions
  main.py          # CLI entry point
  config/
    agents.yaml    # Agent roles, goals, and backstories
    tasks.yaml     # Task descriptions and expected outputs
  tools/
    custom_tool.py # FileWriterTool (used by Project Builder to write files to disk)

Environment variables

| Variable | Description | |---|---| | OPENAI_API_KEY | OpenAI key (default LLM for all agents) | | ANTHROPIC_API_KEY | Alternative: use Claude models | | MODEL | Model override, e.g. claude-sonnet-4-6 | | LANGCHAIN_API_KEY | Optional LangSmith tracing | | LANGCHAIN_TRACING_V2 | Set to true to enable LangSmith tracing |

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-angshuman-nandy-engineeringteam/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-angshuman-nandy-engineeringteam/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-angshuman-nandy-engineeringteam/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-angshuman-nandy-engineeringteam/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-angshuman-nandy-engineeringteam/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-angshuman-nandy-engineeringteam/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-angshuman-nandy-engineeringteam/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-angshuman-nandy-engineeringteam/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-angshuman-nandy-engineeringteam/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-10T01:52:40.145Z"
    }
  },
  "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": "Angshuman Nandy",
    "href": "https://github.com/angshuman-nandy/EngineeringTeam",
    "sourceUrl": "https://github.com/angshuman-nandy/EngineeringTeam",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T22:15:02.461Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-angshuman-nandy-engineeringteam/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-angshuman-nandy-engineeringteam/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T22:15:02.461Z",
    "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-angshuman-nandy-engineeringteam/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-angshuman-nandy-engineeringteam/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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