Crawler Summary

agentic-software-engineering-team answer-first brief

An autonomous multi-agent software engineering crew built on CrewAI and Google Gemini. The crew (Architect, Backend, Frontend, QA) collaborates sequentially to design, build, test, and package Python applications inside an isolated Docker sandbox. 🤖 AI Engineering Team: Multi-Agent Software Development Crew An autonomous multi-agent software engineering crew built on **CrewAI**, powered by **Google Gemini 3.5 Flash Lite** and styled with a futuristic cyberpunk Gradio UI. The crew automates the entire software development lifecycle—from design and backend development to frontend construction and QA unit testing—within an isolated, containerized sandbox. --- 📐 Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

agentic-software-engineering-team 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

Claim this agent
Agent DossierGITHUB REPOSSafety: 66/100

agentic-software-engineering-team

An autonomous multi-agent software engineering crew built on CrewAI and Google Gemini. The crew (Architect, Backend, Frontend, QA) collaborates sequentially to design, build, test, and package Python applications inside an isolated Docker sandbox. 🤖 AI Engineering Team: Multi-Agent Software Development Crew An autonomous multi-agent software engineering crew built on **CrewAI**, powered by **Google Gemini 3.5 Flash Lite** and styled with a futuristic cyberpunk Gradio UI. The crew automates the entire software development lifecycle—from design and backend development to frontend construction and QA unit testing—within an isolated, containerized sandbox. --- 📐

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

Pranav Gaonkar

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Unpublished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.

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

Pranav Gaonkar

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

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

mermaid

graph TD
    A[Requirements Input] --> B[1. System Design<br><i>Engineering Lead Agent</i>]
    B -->|Generates design.md| C[2. Backend Coding<br><i>Backend Engineer Agent</i>]
    C -->|Writes backend.py| D[3. Frontend UI Development<br><i>Frontend Engineer Agent</i>]
    C -->|Writes backend.py| E[4. Unit Testing & QA<br><i>Test Engineer Agent</i>]
    D -->|Writes app.py / frontend.py| F[Interactive Verification]
    E -->|Writes test_backend.py & test_summary.md| F

mermaid

flowchart LR
    subgraph Host OS
        Agents[AI Agents]
        SandboxDir[(Sandbox Directory)]
    end
    
    subgraph Ephemeral Docker Sandbox
        UV[Astral uv]
        Python[Python 3.13 Runtime]
    end
    
    Agents -->|Read/Write Files| SandboxDir
    Agents -->|Execute command| UV
    UV -->|Mounts & Runs| SandboxDir

bash

pip install uv

env

GEMINI_API_KEY=your_gemini_api_key_here

bash

uv sync

bash

crewai run

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 software engineering crew built on CrewAI and Google Gemini. The crew (Architect, Backend, Frontend, QA) collaborates sequentially to design, build, test, and package Python applications inside an isolated Docker sandbox. 🤖 AI Engineering Team: Multi-Agent Software Development Crew An autonomous multi-agent software engineering crew built on **CrewAI**, powered by **Google Gemini 3.5 Flash Lite** and styled with a futuristic cyberpunk Gradio UI. The crew automates the entire software development lifecycle—from design and backend development to frontend construction and QA unit testing—within an isolated, containerized sandbox. --- 📐

Full README

🤖 AI Engineering Team: Multi-Agent Software Development Crew

An autonomous multi-agent software engineering crew built on CrewAI, powered by Google Gemini 3.5 Flash Lite and styled with a futuristic cyberpunk Gradio UI. The crew automates the entire software development lifecycle—from design and backend development to frontend construction and QA unit testing—within an isolated, containerized sandbox.


📐 Architecture & Workflow Diagram

The system operates in a sequential pipeline where downstream agents consume artifacts generated by upstream agents inside a shared sandbox directory:

graph TD
    A[Requirements Input] --> B[1. System Design<br><i>Engineering Lead Agent</i>]
    B -->|Generates design.md| C[2. Backend Coding<br><i>Backend Engineer Agent</i>]
    C -->|Writes backend.py| D[3. Frontend UI Development<br><i>Frontend Engineer Agent</i>]
    C -->|Writes backend.py| E[4. Unit Testing & QA<br><i>Test Engineer Agent</i>]
    D -->|Writes app.py / frontend.py| F[Interactive Verification]
    E -->|Writes test_backend.py & test_summary.md| F

Sandbox Execution Layer

flowchart LR
    subgraph Host OS
        Agents[AI Agents]
        SandboxDir[(Sandbox Directory)]
    end
    
    subgraph Ephemeral Docker Sandbox
        UV[Astral uv]
        Python[Python 3.13 Runtime]
    end
    
    Agents -->|Read/Write Files| SandboxDir
    Agents -->|Execute command| UV
    UV -->|Mounts & Runs| SandboxDir

🛠️ Technology Stack

  • Orchestration Framework: CrewAI (v1.14.4)
  • LLM Provider: Google Gemini (gemini/gemini-3.5-flash-lite) via native google-genai provider.
  • Package & Env Management: Astral uv (Python 3.13)
  • Sandboxing: Docker (ghcr.io/astral-sh/uv:python3.13-bookworm-slim)
  • Frontend Library: Gradio (v6.24.0)

🤖 Meet the Crew

| Agent | Role | Focus | Model | | :--- | :--- | :--- | :--- | | Engineering Lead | System Architect | Generates class designs & function signatures | gemini-3.5-flash-lite | | Backend Engineer | Core Logic Developer | Implements backend functionality in Python | gemini-3.5-flash-lite | | Frontend Engineer | Gradio UI Developer | Designs interactive UIs with futuristic themes | gemini-3.5-flash-lite | | Test Engineer | Quality Assurance (QA) | Writes and runs unittest suites inside Docker | gemini-3.5-flash-lite |


🚀 Setup & Execution

1. Prerequisites

  • Ensure Docker is installed and running on your system (needed for sandbox code execution).
  • Ensure uv is installed:
    pip install uv
    

2. Environment Setup

Create a .env file in the root directory and add your Google Gemini API key:

GEMINI_API_KEY=your_gemini_api_key_here

3. Sync Dependencies

Sync virtual environment dependencies (runs Python 3.13):

uv sync

4. Running the Crew

To start the multi-agent execution pipeline:

crewai run

This resets the sandbox, initiates the sequential tasks, and outputs design specifications, backend code, interactive Gradio app files, and test summaries directly to the ./sandbox directory.

5. Running the Generated Gradio UI

Once the crew has successfully finished building, run the interactive UI:

cd sandbox
uv run frontend.py

Open the local URL (usually http://127.0.0.1:7860) in your web browser to view and play with the futuristic application interface.

Contract & API

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

MissingGITHUB REPOS

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-pranav-gaonkar-agentic-software-engineering-team/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-pranav-gaonkar-agentic-software-engineering-team/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-pranav-gaonkar-agentic-software-engineering-team/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-pranav-gaonkar-agentic-software-engineering-team/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-pranav-gaonkar-agentic-software-engineering-team/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-pranav-gaonkar-agentic-software-engineering-team/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-pranav-gaonkar-agentic-software-engineering-team/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-pranav-gaonkar-agentic-software-engineering-team/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-pranav-gaonkar-agentic-software-engineering-team/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-09T14:37:05.444Z"
    }
  },
  "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": "Pranav Gaonkar",
    "href": "https://github.com/pranav-gaonkar/agentic-software-engineering-team",
    "sourceUrl": "https://github.com/pranav-gaonkar/agentic-software-engineering-team",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T03:20:46.056Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-pranav-gaonkar-agentic-software-engineering-team/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-pranav-gaonkar-agentic-software-engineering-team/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T03:20:46.056Z",
    "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-pranav-gaonkar-agentic-software-engineering-team/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-pranav-gaonkar-agentic-software-engineering-team/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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