Crawler Summary

crewai-amorce answer-first brief

πŸ‘₯ CrewAI integration for Amorce - Add cryptographic signatures with 1 decorator crewai-amorce $1 $1 $1 **Connect your CrewAI crew to LangChain, n8n, AutoGPT, and major LLMs β€” in 5 minutes.** The Amorce integration for CrewAI enables cross-framework agent communication with Ed25519 signatures and human-in-the-loop approvals. πŸ‘‰ **$1** --- πŸš€ Quick Start Installation Basic Usage (1 Decorator!) **That's it!** Your CrewAI crew now has: - βœ… Ed25519 cryptographic signatures - βœ… Inter-agent authenticat Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 5/13/2026.

Freshness

Last checked 5/13/2026

Best For

crewai-amorce 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 OPENCLEW, runtime-metrics, public facts pack

Claim this agent
Agent DossierGitHubSafety: 66/100

crewai-amorce

πŸ‘₯ CrewAI integration for Amorce - Add cryptographic signatures with 1 decorator crewai-amorce $1 $1 $1 **Connect your CrewAI crew to LangChain, n8n, AutoGPT, and major LLMs β€” in 5 minutes.** The Amorce integration for CrewAI enables cross-framework agent communication with Ed25519 signatures and human-in-the-loop approvals. πŸ‘‰ **$1** --- πŸš€ Quick Start Installation Basic Usage (1 Decorator!) **That's it!** Your CrewAI crew now has: - βœ… Ed25519 cryptographic signatures - βœ… Inter-agent authenticat

OpenClawself-declared

Public facts

5

Change events

1

Artifacts

0

Freshness

May 13, 2026

Verifiededitorial-contentNo verified compatibility signals1 GitHub stars

Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 5/13/2026.

1 GitHub starsTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

May 13, 2026

Vendor

Amorceaatp

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Unpublished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. 1 GitHub stars reported by the source. Last updated 5/13/2026.

Setup snapshot

git clone https://github.com/AmorceAATP/crewai-amorce.git
  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

Amorceaatp

profilemedium
Observed May 13, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed May 13, 2026Source linkProvenance
Adoption (1)

Adoption signal

1 GitHub stars

profilemedium
Observed May 13, 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 OPENCLEW

Extracted files

0

Examples

6

Snippets

0

Languages

python

Executable Examples

bash

pip install crewai-amorce

python

from crewai import Crew, Agent, Task
from crewai_amorce import secure_crew

# Define your crew
researcher = Agent(
    role='Research Specialist',
    goal='Find accurate information',
    backstory='Expert researcher'
)

writer = Agent(
    role='Content Writer',
    goal='Write engaging content',
    backstory='Experienced writer'
)

# Secure the entire crew with one decorator
@secure_crew
crew = Crew(
    agents=[researcher, writer],
    tasks=[research_task, write_task]
)

# All agent interactions are now cryptographically signed
result = crew.kickoff()

python

from crewai_amorce import secure_crew

@secure_crew
crew = Crew(
    agents=[agent1, agent2, agent3],
    tasks=[task1, task2]
)

# All 3 agents now:
# - Have cryptographic identities
# - Sign all communications
# - Verify each other's signatures

python

from crewai_amorce import secure_crew

@secure_crew(
    hitl_required=['execute_code', 'make_payment', 'delete_file']
)
crew = Crew(
    agents=[developer_agent, finance_agent],
    tasks=[code_task, payment_task]
)

# Crew runs normally, but pauses for approval on sensitive actions

python

from crewai_amorce import SecureAgent

henri = SecureAgent(
    role="Electronics Seller",
    goal="Maximize profit while maintaining 4.8β˜… rating",
    backstory="Professional refurbisher",
    tools=[inventory_db, pricing_api],
    hitl_required=['confirm_sale', 'issue_refund']
)

# Henri's actions require human approval for sales

python

@secure_crew(a2a_compatible=True)
crew = Crew(agents=[...], tasks=[...])

# Agent-to-agent messages use A2A envelope

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

πŸ‘₯ CrewAI integration for Amorce - Add cryptographic signatures with 1 decorator crewai-amorce $1 $1 $1 **Connect your CrewAI crew to LangChain, n8n, AutoGPT, and major LLMs β€” in 5 minutes.** The Amorce integration for CrewAI enables cross-framework agent communication with Ed25519 signatures and human-in-the-loop approvals. πŸ‘‰ **$1** --- πŸš€ Quick Start Installation Basic Usage (1 Decorator!) **That's it!** Your CrewAI crew now has: - βœ… Ed25519 cryptographic signatures - βœ… Inter-agent authenticat

Full README

crewai-amorce

GitHub License Demo

Connect your CrewAI crew to LangChain, n8n, AutoGPT, and major LLMs β€” in 5 minutes.

The Amorce integration for CrewAI enables cross-framework agent communication with Ed25519 signatures and human-in-the-loop approvals.

πŸ‘‰ Register your agent at amorce.io


πŸš€ Quick Start

Installation

pip install crewai-amorce

Basic Usage (1 Decorator!)

from crewai import Crew, Agent, Task
from crewai_amorce import secure_crew

# Define your crew
researcher = Agent(
    role='Research Specialist',
    goal='Find accurate information',
    backstory='Expert researcher'
)

writer = Agent(
    role='Content Writer',
    goal='Write engaging content',
    backstory='Experienced writer'
)

# Secure the entire crew with one decorator
@secure_crew
crew = Crew(
    agents=[researcher, writer],
    tasks=[research_task, write_task]
)

# All agent interactions are now cryptographically signed
result = crew.kickoff()

That's it! Your CrewAI crew now has:

  • βœ… Ed25519 cryptographic signatures
  • βœ… Inter-agent authentication
  • βœ… Trust Directory verification
  • βœ… A2A-compatible messages
  • βœ… Audit trail for all interactions

πŸ›‘οΈ Features

Crew-Wide Security

Every agent in the crew gets Amorce security automatically:

from crewai_amorce import secure_crew

@secure_crew
crew = Crew(
    agents=[agent1, agent2, agent3],
    tasks=[task1, task2]
)

# All 3 agents now:
# - Have cryptographic identities
# - Sign all communications
# - Verify each other's signatures

Human-in-the-Loop (HITL)

Require human approval for sensitive crew operations:

from crewai_amorce import secure_crew

@secure_crew(
    hitl_required=['execute_code', 'make_payment', 'delete_file']
)
crew = Crew(
    agents=[developer_agent, finance_agent],
    tasks=[code_task, payment_task]
)

# Crew runs normally, but pauses for approval on sensitive actions

Secure Individual Agents

Use SecureAgent for fine-grained control:

from crewai_amorce import SecureAgent

henri = SecureAgent(
    role="Electronics Seller",
    goal="Maximize profit while maintaining 4.8β˜… rating",
    backstory="Professional refurbisher",
    tools=[inventory_db, pricing_api],
    hitl_required=['confirm_sale', 'issue_refund']
)

# Henri's actions require human approval for sales

A2A Protocol Compatible

All crew communications use A2A format:

@secure_crew(a2a_compatible=True)
crew = Crew(agents=[...], tasks=[...])

# Agent-to-agent messages use A2A envelope

πŸ“– Examples

Marketplace Demo (Henri - Seller Agent)

See the full Enhanced Marketplace Demo showing Henri selling to Sarah.

from crewai_amorce import SecureAgent

henri = SecureAgent(
    role="Electronics Reseller",
    goal="Maximize profit while maintaining 4.8β˜… rating",
    backstory="Professional refurbisher with 500+ sales",
    tools=[
        inventory_database,      # Check stock & condition
        pricing_api,            # Real-time market rates
        shipping_calculator,     # Calculate costs
        receipt_generator       # Generate signed docs
    ],
    hitl_required=['confirm_sale', 'issue_refund'],
    verbose=True
)

# Henri autonomously:
# 1. Receives offer from Sarah
# 2. Checks Sarah's reputation in Trust Directory
# 3. Calculates profit margin
# 4. Requests human approval to sell
# 5. Generates cryptographically signed receipt

Multi-Agent Research Crew

from crewai import Crew, Agent, Task
from crewai_amorce import secure_crew

# Create agents
researcher = Agent(
    role='Senior Researcher',
    goal='Uncover cutting-edge developments',
    backstory='Renowned researcher'
)

analyst = Agent(
    role='Data Analyst',
    goal='Analyze research findings',
    backstory='Statistical expert'
)

writer = Agent(
    role='Tech Writer',
    goal='Create comprehensive reports',
    backstory='Award-winning writer'
)

# Secure the crew
@secure_crew(
    hitl_required=['publish_report']  # Approval before publishing
)
crew = Crew(
    agents=[researcher, analyst, writer],
    tasks=[research, analyze, write],
    verbose=True
)

# Run with full audit trail
result = crew.kickoff()
print(f"Crew ID: {crew.crew_id}")
print(f"All interactions signed: βœ“")

πŸ”§ Advanced Configuration

Custom Identity for Crew

from amorce import IdentityManager
from crewai_amorce import secure_crew

# Load existing identity
identity = IdentityManager.load_from_file("crew_identity.pem")

@secure_crew(identity=identity)
crew = Crew(agents=[...], tasks=[...])

Inter-Crew Communication

# Crew A discovers Crew B in Trust Directory
crew_a.discover_crews(capability='data_analysis')

# Crew A delegates task to Crew B (signed)
crew_a.delegate_to(crew_b, task='analyze_data')

πŸ§ͺ Testing

# Run tests
pytest tests/

# With coverage
pytest --cov=crewai_amorce tests/

πŸ“š Documentation


🀝 Contributing

Contributions welcome! See CONTRIBUTING.md


πŸ“„ License

MIT License - see LICENSE


πŸ”— Links


Built with ❀️ by the Amorce team

Contract & API

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

MissingGITHUB OPENCLEW

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-amorceaatp-crewai-amorce/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-amorceaatp-crewai-amorce/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-amorceaatp-crewai-amorce/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-amorceaatp-crewai-amorce/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-amorceaatp-crewai-amorce/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-amorceaatp-crewai-amorce/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-amorceaatp-crewai-amorce/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-amorceaatp-crewai-amorce/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-amorceaatp-crewai-amorce/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-10-09T02:28:53.224Z"
    }
  },
  "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",
    "label": "Vendor",
    "value": "Amorceaatp",
    "category": "vendor",
    "href": "https://github.com/AmorceAATP/crewai-amorce",
    "sourceUrl": "https://github.com/AmorceAATP/crewai-amorce",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-05-13T06:46:27.332Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "protocols",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "category": "compatibility",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-amorceaatp-crewai-amorce/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-amorceaatp-crewai-amorce/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-05-13T06:46:27.332Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "traction",
    "label": "Adoption signal",
    "value": "1 GitHub stars",
    "category": "adoption",
    "href": "https://github.com/AmorceAATP/crewai-amorce",
    "sourceUrl": "https://github.com/AmorceAATP/crewai-amorce",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-05-13T06:46:27.332Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "docs_crawl",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "category": "integration",
    "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,
    "metadata": {}
  },
  {
    "factKey": "handshake_status",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "category": "security",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-amorceaatp-crewai-amorce/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-amorceaatp-crewai-amorce/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true,
    "metadata": {}
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub Β· 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,
    "metadata": {}
  }
]

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