AionUi
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Crawler Summary
Structured learning path for agentic AI: foundations, OpenAI, CrewAI, LangGraph, and AutoGen — with hands-on notebooks. Master AI Agentic Engineering - build autonomous AI Agents 6 week journey to code and deploy AI Agents with OpenAI Agents SDK, CrewAI, LangGraph, AutoGen and MCP _If you're looking at this in Cursor, please right click on the filename in the Explorer on the left, and select "Open preview", to view the formatted version._ I couldn't be more excited to welcome you! This is the start of your 6 week adventure into the po Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.
Freshness
Last checked 10/9/2026
Best For
agentic-development 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
Structured learning path for agentic AI: foundations, OpenAI, CrewAI, LangGraph, and AutoGen — with hands-on notebooks. Master AI Agentic Engineering - build autonomous AI Agents 6 week journey to code and deploy AI Agents with OpenAI Agents SDK, CrewAI, LangGraph, AutoGen and MCP _If you're looking at this in Cursor, please right click on the filename in the Explorer on the left, and select "Open preview", to view the formatted version._ I couldn't be more excited to welcome you! This is the start of your 6 week adventure into the po
Public facts
4
Change events
1
Artifacts
0
Freshness
Oct 9, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Oct 9, 2026
Vendor
Nirbhays
Artifacts
0
Benchmarks
0
Last release
Unpublished
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
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
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.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Nirbhays
Protocol compatibility
OpenClaw
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
0
Snippets
0
Languages
python
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB REPOS
Editorial quality
ready
Structured learning path for agentic AI: foundations, OpenAI, CrewAI, LangGraph, and AutoGen — with hands-on notebooks. Master AI Agentic Engineering - build autonomous AI Agents 6 week journey to code and deploy AI Agents with OpenAI Agents SDK, CrewAI, LangGraph, AutoGen and MCP _If you're looking at this in Cursor, please right click on the filename in the Explorer on the left, and select "Open preview", to view the formatted version._ I couldn't be more excited to welcome you! This is the start of your 6 week adventure into the po

If you're looking at this in Cursor, please right click on the filename in the Explorer on the left, and select "Open preview", to view the formatted version.
I couldn't be more excited to welcome you! This is the start of your 6 week adventure into the powerful, astonishing and often surreal world of Agentic AI.
I'm here to help you be most successful! Please do reach out if I can help, either in the platform or by emailing me direct ([email protected]). It's always great to connect with people on LinkedIn to build up the community - you'll find me here:
https://www.linkedin.com/in/eddonner/
And this is new to me, but I'm also trying out X/Twitter at @edwarddonner - if you're on X, please show me how it's done 😂
Perhaps famous last words: but I really, truly hope that I've put together an environment that will be not too horrific to set up!
Any problems, please do contact me.
Windows PC users: you will need to have checked the "gotcha #4" at the top of the SETUP-PC instructions -- installing Microsoft Build Tools.
If you don't do this, then CrewAI will fail with an obscure error involving Chroma..
Then, you will need to run this command in a Cursor Terminal in the project root directory in order to run the Crew commands:
uv tool install crewai==0.130.0 --python 3.12
And in case you've used Crew before, it might be worth doing this to make sure you have the latest:
uv tool upgrade crewai==0.130.0 --python 3.12
This command pins Crew to the same version that I use on the course. If you have any problems with Crew, you could try using the latest version instead, by running this command:
uv tool upgrade crewai --python 3.12
At any point, you can see which version of Crew you have installed with this:
uv tool list
Sidenote: a "tool" with uv is a utility that is installed globally by uv. After installing this tool, you can use "crewai" as a command, and it runs the code associated with this tool.
Then please keep in mind for Crew:
crewai run to see it in action. Or if you prefer to be more hands-on, then create your own Crew project from scratch to mirror mine; for example, create my_debate to go alongside debate, and write the code alongside me. Either approach works!crewai create crew. If that happens, please try running this command in the Terminal first: $env:PYTHONUTF8 = "1".env file for GOOGLE_API_KEY, you will need an identical key for GEMINI_API_KEYThis course does involve making calls to OpenAI and other frontier models, requiring an API key and a small spend, which we set up in the SETUP instructions. If you'd prefer not to spend on API calls, there are cheaper alternatives like DeepSeek and free alternatives like using Ollama!
Details are here.
Be sure to monitor your API costs to ensure you are totally happy with any spend. For OpenAI, the dashboard is here.
Be sure to have fun with the course! You could not have picked a better time to be learning about Agentic AI. I hope you enjoy every single minute! And if you get stuck at any point - contact me.
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
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://www.xpersona.co/api/v1/agents/crewai-nirbhays-agentic-development/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-nirbhays-agentic-development/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-nirbhays-agentic-development/trust"
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
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
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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-nirbhays-agentic-development/snapshot",
"contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-nirbhays-agentic-development/contract",
"trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-nirbhays-agentic-development/trust"
},
"curlExamples": [
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-nirbhays-agentic-development/snapshot\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-nirbhays-agentic-development/contract\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-nirbhays-agentic-development/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_REPOS",
"generatedAt": "2026-10-09T23:49:02.470Z"
}
},
"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": "Nirbhays",
"href": "https://github.com/nirbhays/agentic-development",
"sourceUrl": "https://github.com/nirbhays/agentic-development",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-10-09T20:05:58.232Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://www.xpersona.co/api/v1/agents/crewai-nirbhays-agentic-development/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-nirbhays-agentic-development/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-10-09T20:05:58.232Z",
"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-nirbhays-agentic-development/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-nirbhays-agentic-development/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
}
]Sponsored
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