Xpersona

Crawler Summary

llm-agents-example answer-first brief

An example repository to use HuggingFace smolagents, Phidata and CrewAI frameworks with local LLMs Agent Frameworks Smolagents It is straightforward to get into. Easy write an agent. Small feature set. No memory or retriever support currently. Phidata More comprehensive than Smolagents, has built-in tool set. It is easy to write RAG applications with built-in RAG tools and retrievers. CrewAI Complex, requires more setup step. Achieves the result but it takes more time to built what you want to do. Running Code Exa Capability contract not published. No trust telemetry is available yet. 39 GitHub stars reported by the source. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

llm-agents-example 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: 75/100

llm-agents-example

An example repository to use HuggingFace smolagents, Phidata and CrewAI frameworks with local LLMs Agent Frameworks Smolagents It is straightforward to get into. Easy write an agent. Small feature set. No memory or retriever support currently. Phidata More comprehensive than Smolagents, has built-in tool set. It is easy to write RAG applications with built-in RAG tools and retrievers. CrewAI Complex, requires more setup step. Achieves the result but it takes more time to built what you want to do. Running Code Exa

OpenClawself-declared

Public facts

5

Change events

1

Artifacts

0

Freshness

Oct 9, 2026

Verifiededitorial-contentNo verified compatibility signals39 GitHub stars

Capability contract not published. No trust telemetry is available yet. 39 GitHub stars reported by the source. Last updated 10/9/2026.

39 GitHub starsTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Oct 9, 2026

Vendor

Mstryoda

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Unpublished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. 39 GitHub stars reported by the source. 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

Mstryoda

profilemedium
Observed Oct 9, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Oct 9, 2026Source linkProvenance
Adoption (1)

Adoption signal

39 GitHub stars

profilemedium
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

5

Snippets

0

Languages

python

Executable Examples

text

ollama install llama3
ollama install qwen2.5-coder
ollama install openhermes

text

conda create -n agents python=3.10
conda activate agents

pip install smolagents
pip install -U phidata
pip install crewai crewai-tools

pip install pypdf

text

pip install ollama
pip install pgvector
pip install pypdf
pip install psycopg2
conda install -c conda-forge psycopg

text

docker run -d \
  -e POSTGRES_DB=ai \
  -e POSTGRES_USER=ai \
  -e POSTGRES_PASSWORD=ai \
  -e PGDATA=/var/lib/postgresql/data/pgdata \
  -v pgvolume:/var/lib/postgresql/data \
  -p 5532:5432 \
  --name pgvector \
  phidata/pgvector:16

text

cd smolagents
python3 main.py

cd phidata
python3 main.py

cd crewai
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 example repository to use HuggingFace smolagents, Phidata and CrewAI frameworks with local LLMs Agent Frameworks Smolagents It is straightforward to get into. Easy write an agent. Small feature set. No memory or retriever support currently. Phidata More comprehensive than Smolagents, has built-in tool set. It is easy to write RAG applications with built-in RAG tools and retrievers. CrewAI Complex, requires more setup step. Achieves the result but it takes more time to built what you want to do. Running Code Exa

Full README

Agent Frameworks

Smolagents

It is straightforward to get into. Easy write an agent. Small feature set. No memory or retriever support currently.

Phidata

More comprehensive than Smolagents, has built-in tool set. It is easy to write RAG applications with built-in RAG tools and retrievers.

CrewAI

Complex, requires more setup step. Achieves the result but it takes more time to built what you want to do.

alt text

Running Code Examples

Note: Do not forget to fill api key for your gemini or custom llm apis.

Installing Ollama Models

ollama install llama3
ollama install qwen2.5-coder
ollama install openhermes

Creating Conda Environment

conda create -n agents python=3.10
conda activate agents

pip install smolagents
pip install -U phidata
pip install crewai crewai-tools

pip install pypdf

RAG Requirements

pip install ollama
pip install pgvector
pip install pypdf
pip install psycopg2
conda install -c conda-forge psycopg

Running PG Database

docker run -d \
  -e POSTGRES_DB=ai \
  -e POSTGRES_USER=ai \
  -e POSTGRES_PASSWORD=ai \
  -e PGDATA=/var/lib/postgresql/data/pgdata \
  -v pgvolume:/var/lib/postgresql/data \
  -p 5532:5432 \
  --name pgvector \
  phidata/pgvector:16

Run Example Agents

cd smolagents
python3 main.py

cd phidata
python3 main.py

cd crewai
crewai run

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-mstryoda-llm-agents-example/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-mstryoda-llm-agents-example/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-mstryoda-llm-agents-example/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-mstryoda-llm-agents-example/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-mstryoda-llm-agents-example/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-mstryoda-llm-agents-example/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-mstryoda-llm-agents-example/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-mstryoda-llm-agents-example/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-mstryoda-llm-agents-example/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-10T06:42:35.033Z"
    }
  },
  "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": "Mstryoda",
    "href": "https://github.com/mstrYoda/llm-agents-example",
    "sourceUrl": "https://github.com/mstrYoda/llm-agents-example",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T09:45:31.108Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-mstryoda-llm-agents-example/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-mstryoda-llm-agents-example/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T09:45:31.108Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "39 GitHub stars",
    "href": "https://github.com/mstrYoda/llm-agents-example",
    "sourceUrl": "https://github.com/mstrYoda/llm-agents-example",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T09:45:31.108Z",
    "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-mstryoda-llm-agents-example/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-mstryoda-llm-agents-example/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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