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Crawler Summary
Universal Agent Template — deploy any LangChain / LangGraph / CrewAI agent to AWS Bedrock AgentCore or GCP Vertex Agent Engine via the Lyzr Control Plane. Universal Agent Template One template. Any framework. Any cloud. Powered by **Lyzr Control Plane**. A starter for deploying any LangChain / LangGraph / CrewAI / custom Python agent to **AWS Bedrock AgentCore** or **GCP Vertex Agent Engine** — same src/ code, both clouds. Layout Quickstart 1. Click **Use this template** (or fork/clone this repo). 2. Edit $1 — implement run and/or stream. Reference framework examples l Capability contract not published. No trust telemetry is available yet. 2 GitHub stars reported by the source. Last updated 10/9/2026.
Freshness
Last checked 10/9/2026
Best For
agent-template 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
Universal Agent Template — deploy any LangChain / LangGraph / CrewAI agent to AWS Bedrock AgentCore or GCP Vertex Agent Engine via the Lyzr Control Plane. Universal Agent Template One template. Any framework. Any cloud. Powered by **Lyzr Control Plane**. A starter for deploying any LangChain / LangGraph / CrewAI / custom Python agent to **AWS Bedrock AgentCore** or **GCP Vertex Agent Engine** — same src/ code, both clouds. Layout Quickstart 1. Click **Use this template** (or fork/clone this repo). 2. Edit $1 — implement run and/or stream. Reference framework examples l
Public facts
5
Change events
1
Artifacts
0
Freshness
Oct 9, 2026
Capability contract not published. No trust telemetry is available yet. 2 GitHub stars reported by the source. Last updated 10/9/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Oct 9, 2026
Vendor
Patel Lyzr
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Unpublished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. 2 GitHub stars reported by the source. 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
Patel Lyzr
Protocol compatibility
OpenClaw
Adoption signal
2 GitHub stars
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
3
Snippets
0
Languages
python
text
. ├── src/ │ └── invocation.py ← YOU EDIT — implements run() / stream() ├── requirements.txt ← YOU EDIT — your deps ├── aws/ │ ├── entrypoint.py ← managed (AgentCore wrapper) │ ├── Dockerfile ← managed (ARM64, port 8080) │ └── requirements.txt ← managed (AgentCore runtime deps) ├── gcp/ │ ├── agent_engine_wrapper.py ← managed (Agent Engine wrapper) │ └── requirements.txt ← managed (Agent Engine runtime deps) ├── .env.example ├── README.md └── TEMPLATE_GUIDE.md
python
def run(prompt: str, session_id: str | None = None) -> str: ... async def stream(prompt: str, session_id: str | None = None): ...
bash
pip install -r requirements.txt -r aws/requirements.txt # or gcp/
PYTHONPATH=src python -c "from invocation import run; print(run('what is 2+2?'))"Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB REPOS
Editorial quality
ready
Universal Agent Template — deploy any LangChain / LangGraph / CrewAI agent to AWS Bedrock AgentCore or GCP Vertex Agent Engine via the Lyzr Control Plane. Universal Agent Template One template. Any framework. Any cloud. Powered by **Lyzr Control Plane**. A starter for deploying any LangChain / LangGraph / CrewAI / custom Python agent to **AWS Bedrock AgentCore** or **GCP Vertex Agent Engine** — same src/ code, both clouds. Layout Quickstart 1. Click **Use this template** (or fork/clone this repo). 2. Edit $1 — implement run and/or stream. Reference framework examples l
One template. Any framework. Any cloud. Powered by Lyzr Control Plane.
A starter for deploying any LangChain / LangGraph / CrewAI / custom Python
agent to AWS Bedrock AgentCore or GCP Vertex Agent Engine — same
src/ code, both clouds.
.
├── src/
│ └── invocation.py ← YOU EDIT — implements run() / stream()
├── requirements.txt ← YOU EDIT — your deps
├── aws/
│ ├── entrypoint.py ← managed (AgentCore wrapper)
│ ├── Dockerfile ← managed (ARM64, port 8080)
│ └── requirements.txt ← managed (AgentCore runtime deps)
├── gcp/
│ ├── agent_engine_wrapper.py ← managed (Agent Engine wrapper)
│ └── requirements.txt ← managed (Agent Engine runtime deps)
├── .env.example
├── README.md
└── TEMPLATE_GUIDE.md
src/invocation.py — implement run and/or stream.
Reference framework examples live in src/examples/.requirements.txt..env.example → .env for local testing.src/invocation.py must expose at least one of:
def run(prompt: str, session_id: str | None = None) -> str: ...
async def stream(prompt: str, session_id: str | None = None): ...
Whatever framework you use inside is up to you. See TEMPLATE_GUIDE.md for the details and examples.
Put your dependencies in the root requirements.txt. At build time, the
build pipeline concatenates it with the cloud-specific runtime deps under
aws/requirements.txt or gcp/requirements.txt and installs the combined
list. You never need to add bedrock-agentcore or google-cloud-aiplatform
yourself.
pip install -r requirements.txt -r aws/requirements.txt # or gcp/
PYTHONPATH=src python -c "from invocation import run; print(run('what is 2+2?'))"
| File | Why |
|---|---|
| aws/entrypoint.py | AgentCore wrapper that calls your run/stream |
| aws/Dockerfile | ARM64 container that AgentCore requires |
| aws/requirements.txt | AgentCore SDK deps |
| gcp/agent_engine_wrapper.py | Agent Engine wrapper that calls your run/stream |
| gcp/requirements.txt | Agent Engine SDK deps |
Everything else — src/, root requirements.txt, .env.example — is yours.
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-patel-lyzr-agent-template/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-patel-lyzr-agent-template/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-patel-lyzr-agent-template/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-patel-lyzr-agent-template/snapshot",
"contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-patel-lyzr-agent-template/contract",
"trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-patel-lyzr-agent-template/trust"
},
"curlExamples": [
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-patel-lyzr-agent-template/snapshot\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-patel-lyzr-agent-template/contract\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-patel-lyzr-agent-template/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_REPOS",
"generatedAt": "2026-10-10T01:53:05.735Z"
}
},
"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": "Patel Lyzr",
"href": "https://github.com/patel-lyzr/agent-template",
"sourceUrl": "https://github.com/patel-lyzr/agent-template",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-10-09T22:22:13.696Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://www.xpersona.co/api/v1/agents/crewai-patel-lyzr-agent-template/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-patel-lyzr-agent-template/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-10-09T22:22:13.696Z",
"isPublic": true
},
{
"factKey": "traction",
"category": "adoption",
"label": "Adoption signal",
"value": "2 GitHub stars",
"href": "https://github.com/patel-lyzr/agent-template",
"sourceUrl": "https://github.com/patel-lyzr/agent-template",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-10-09T22:22:13.696Z",
"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-patel-lyzr-agent-template/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-patel-lyzr-agent-template/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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