Github ReposUpdated 12h agoRank 70
AionUi
Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!
MCPOPENCLAW
Crawler Summary
DevOpsCrew answer-first brief
This is a AI Automation for a DevOps team using the python framework CrewAI DevOpsCrew Multi-agent DevOps automation crew powered by crewAI. Automates the entire software delivery pipeline from architecture design to production deployment. Overview DevOpsCrew is a comprehensive AI-powered system that takes a project brief and generates production-ready applications with full DevOps infrastructure. It coordinates 14 specialized agents to handle every aspect of software delivery. Features - ** Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.
Freshness
Last checked 10/9/2026
Best For
DevOpsCrew 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
Agent DossierGITHUB REPOSSafety: 66/100
DevOpsCrew
This is a AI Automation for a DevOps team using the python framework CrewAI DevOpsCrew Multi-agent DevOps automation crew powered by crewAI. Automates the entire software delivery pipeline from architecture design to production deployment. Overview DevOpsCrew is a comprehensive AI-powered system that takes a project brief and generates production-ready applications with full DevOps infrastructure. It coordinates 14 specialized agents to handle every aspect of software delivery. Features - **
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
Josuva 24
Artifacts
0
Benchmarks
0
Last release
Unpublished
Executive Summary
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.
Setup snapshot
- 1
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
- 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.
Vendor (1)
Vendor
Josuva 24
profilemedium
Compatibility (1)
Protocol compatibility
OpenClaw
contractmedium
Security (1)
Handshake status
UNKNOWN
trustmedium
Integration (1)
Crawlable docs
6 indexed pages on the official domain
search_documentmedium
Release & Crawl Timeline
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Artifacts Archive
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
6
Snippets
0
Languages
python
Executable Examples
bash
# Clone repository git clone https://github.com/Josuva-24/devopscrew.git cd devopscrew # Install dependencies pip install crewai[tools] # Configure environment cp .env.example .env # Add your NVIDIA_NIM_API_KEY to .env
bash
CREWAI_JSON_CREW_DEFINITION=crew_test.jsonc crewai run
bash
crewai run
jsonc
{
"inputs": {
"project_brief": "Your project description here"
}
}text
output/ ├── architecture/ # Architecture docs, tech stack rationale ├── source/ # Application source code ├── tests/ # Test suite ├── docker/ # Dockerfile, docker-compose ├── kubernetes/ # K8s manifests, Helm charts ├── cicd/ # CI/CD pipeline configs ├── cloud/ # Cloud deployment plans ├── monitoring/ # Observability configs ├── docs/ # Final documentation └── reports/ # Review reports, security audits
bash
MODEL=nvidia/nemotron-3-ultra-550b-a55b
Docs & README
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB REPOS
Editorial quality
ready
This is a AI Automation for a DevOps team using the python framework CrewAI DevOpsCrew Multi-agent DevOps automation crew powered by crewAI. Automates the entire software delivery pipeline from architecture design to production deployment. Overview DevOpsCrew is a comprehensive AI-powered system that takes a project brief and generates production-ready applications with full DevOps infrastructure. It coordinates 14 specialized agents to handle every aspect of software delivery. Features - **
Full README
DevOpsCrew
Multi-agent DevOps automation crew powered by crewAI. Automates the entire software delivery pipeline from architecture design to production deployment.
Overview
DevOpsCrew is a comprehensive AI-powered system that takes a project brief and generates production-ready applications with full DevOps infrastructure. It coordinates 14 specialized agents to handle every aspect of software delivery.
Features
- Complete Pipeline: Architecture → Code → Tests → Containers → K8s → CI/CD → Monitoring → Docs
- 14 Specialized Agents: Each expert in their domain (architecture, security, testing, etc.)
- Production-Ready Output: Working code with Docker, Kubernetes, CI/CD, and observability
- Fast Execution: ~10-40 minutes depending on task count
- Flexible Configuration: Run full pipeline or subset of tasks
Agents
| Agent | Responsibility | |-------|---------------| | Architect | System design, tech stack selection, API design | | Developer | Code implementation, best practices | | Reviewer | Code quality, security, performance audit | | Tester | Unit, integration, E2E test generation | | Security | Security audit, vulnerability scanning | | Docker | Dockerfile creation, container optimization | | Kubernetes | K8s manifests, Helm charts, RBAC | | CI/CD | GitHub Actions, GitLab CI pipelines | | Cloud | AWS/Azure/GCP deployment planning | | Monitoring | Prometheus, Grafana, observability setup | | Documentation | README, guides, runbooks | | Incident Response | Root cause analysis, debugging | | Database | Schema design, migrations, optimization |
Quick Start
Prerequisites
- Python 3.10+
- NVIDIA NIM API key (get from NVIDIA)
- Optional: API keys for Tavily, Firecrawl, Jina
Installation
# Clone repository
git clone https://github.com/Josuva-24/devopscrew.git
cd devopscrew
# Install dependencies
pip install crewai[tools]
# Configure environment
cp .env.example .env
# Add your NVIDIA_NIM_API_KEY to .env
Usage
Fast test (4 tasks, ~10 minutes):
CREWAI_JSON_CREW_DEFINITION=crew_test.jsonc crewai run
Full pipeline (11 tasks, ~30-40 minutes):
crewai run
Custom project:
Edit crew.jsonc and modify inputs.project_brief:
{
"inputs": {
"project_brief": "Your project description here"
}
}
Output Structure
output/
├── architecture/ # Architecture docs, tech stack rationale
├── source/ # Application source code
├── tests/ # Test suite
├── docker/ # Dockerfile, docker-compose
├── kubernetes/ # K8s manifests, Helm charts
├── cicd/ # CI/CD pipeline configs
├── cloud/ # Cloud deployment plans
├── monitoring/ # Observability configs
├── docs/ # Final documentation
└── reports/ # Review reports, security audits
Configuration
Model Selection
Current model: nvidia/nemotron-3-ultra-550b-a55b (550B parameters, 50 tokens/sec)
Alternative models:
meta/llama-3.3-70b-instruct(faster, less capable)nvidia/llama-3.1-nemotron-70b-instruct(balanced)- Local:
ollama/llama3.1:8b(requires Ollama)
Edit .env:
MODEL=nvidia/nemotron-3-ultra-550b-a55b
Performance
Memory is disabled by default for fast startup. Enable for context retention across tasks in crew.jsonc.
Example Projects
REST API:
Build a Flask REST API with 2 endpoints:
- GET /health (returns status:ok)
- POST /echo (returns request body)
Include Docker, tests, and README.
Microservice:
Build a FastAPI user service with PostgreSQL:
- CRUD operations
- JWT authentication
- Docker + Kubernetes deployment
- CI/CD with GitHub Actions
Performance
| Configuration | Tasks | Estimated Time | |--------------|-------|---------------| | Fast test | 4 | 10-12 minutes | | Standard | 8 | 20-25 minutes | | Full pipeline | 11 | 30-40 minutes |
With NVIDIA Nemotron Ultra 550B model
Troubleshooting
Slow execution:
- Check model speed: Ultra 550B should output 50+ tokens/sec
- Disable memory if enabled
- Set
verbose: falsein crew.jsonc - Use fast test config for iteration
API errors:
- Verify NVIDIA_NIM_API_KEY in .env
- Check API quota at NVIDIA API
Technology Stack
- Framework: crewAI 1.15.9+
- LLM: NVIDIA NIM API (Nemotron models)
- Embeddings: Ollama (nomic-embed-text)
- Tools: Tavily Search, Firecrawl, Jina
License
MIT
Status
✅ Production Ready
- All 14 agents tested and validated
- Generated working Flask API in testing
- Full pipeline verified
- Performance optimized with Ultra 550B model
Last Updated: 2026-08-04
Model: NVIDIA Nemotron Ultra 550B
Version: 0.1.0
Contract & API
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
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-josuva-24-devopscrew/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-josuva-24-devopscrew/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-josuva-24-devopscrew/trust"
Reliability & Benchmarks
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
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.
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.
Github ReposUpdated 6mo agoRank 70
activepieces
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
OPENCLAW
Github ReposUpdated 6mo agoRank 70
cherry-studio
AI productivity studio with smart chat, autonomous agents, and 300+ assistants.
MCPOPENCLAW
Github ReposUpdated 7mo agoRank 70
CopilotKit
The Frontend for Agents & Generative UI. React + Angular
OPENCLAW
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-josuva-24-devopscrew/snapshot",
"contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-josuva-24-devopscrew/contract",
"trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-josuva-24-devopscrew/trust"
},
"curlExamples": [
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-josuva-24-devopscrew/snapshot\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-josuva-24-devopscrew/contract\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-josuva-24-devopscrew/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_REPOS",
"generatedAt": "2026-10-10T07:39:10.012Z"
}
},
"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": "Josuva 24",
"href": "https://github.com/Josuva-24/DevOpsCrew",
"sourceUrl": "https://github.com/Josuva-24/DevOpsCrew",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-10-09T14:54:07.986Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://www.xpersona.co/api/v1/agents/crewai-josuva-24-devopscrew/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-josuva-24-devopscrew/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-10-09T14:54:07.986Z",
"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-josuva-24-devopscrew/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-josuva-24-devopscrew/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
}
]