Crawler Summary

crewai-avp answer-first brief

CrewAI integration for AVP - Multi-agent credential isolation <p align="center"> <img src="https://raw.githubusercontent.com/avp-protocol/spec/main/assets/avp-shield.svg" alt="AVP Shield" width="80" /> </p> <h1 align="center">crewai-avp</h1> <p align="center"> <strong>CrewAI credential store integration for AVP</strong><br> Secure agent credentials · Multi-agent support · Hardware security </p> <p align="center"> <a href="https://pypi.org/project/crewai-avp/"><img src="https:// Capability contract not published. No trust telemetry is available yet. Last updated 5/24/2026.

Freshness

Last checked 5/24/2026

Best For

crewai-avp 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

Claim this agent
Agent DossierGITHUB REPOSSafety: 66/100

crewai-avp

CrewAI integration for AVP - Multi-agent credential isolation <p align="center"> <img src="https://raw.githubusercontent.com/avp-protocol/spec/main/assets/avp-shield.svg" alt="AVP Shield" width="80" /> </p> <h1 align="center">crewai-avp</h1> <p align="center"> <strong>CrewAI credential store integration for AVP</strong><br> Secure agent credentials · Multi-agent support · Hardware security </p> <p align="center"> <a href="https://pypi.org/project/crewai-avp/"><img src="https://

OpenClawself-declared

Public facts

3

Change events

0

Artifacts

0

Freshness

May 24, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 5/24/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

May 24, 2026

Vendor

Avp Protocol

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Unpublished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. Last updated 5/24/2026.

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

Avp Protocol

profilemedium
Observed May 24, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed May 24, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource 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 REPOS

Extracted files

0

Examples

6

Snippets

0

Languages

python

Executable Examples

bash

pip install crewai-avp

python

from crewai import Agent, Task, Crew
import os

# ❌ API keys in environment variables
researcher = Agent(
    role="Researcher",
    llm_config={"api_key": os.environ["OPENAI_API_KEY"]}
)

python

from crewai import Agent, Task, Crew
from crewai_avp import AVPCredentialStore

# ✅ API keys in hardware-secured vault
credentials = AVPCredentialStore("avp.toml")

researcher = Agent(
    role="Researcher",
    llm_config={"api_key": credentials.get("openai_api_key")}
)

python

from crewai_avp import AVPCredentialStore

# Each agent has its own workspace
researcher_creds = AVPCredentialStore("avp.toml", workspace="researcher")
writer_creds = AVPCredentialStore("avp.toml", workspace="writer")

researcher = Agent(
    role="Researcher",
    llm_config={"api_key": researcher_creds.get("api_key")},
    tools=[SerperDevTool(api_key=researcher_creds.get("serper_key"))]
)

writer = Agent(
    role="Writer",
    llm_config={"api_key": writer_creds.get("api_key")}
)

python

from crewai_avp import AVPCredentialStore
from crewai_tools import SerperDevTool, ScrapeWebsiteTool

credentials = AVPCredentialStore("avp.toml")

# All tool credentials from AVP
tools = [
    SerperDevTool(api_key=credentials.get("serper_api_key")),
    ScrapeWebsiteTool(),
]

agent = Agent(
    role="Researcher",
    tools=tools,
    llm_config={"api_key": credentials.get("openai_api_key")}
)

python

from crewai_avp import AVPCredentialStore

# Production crew with hardware security
prod_creds = AVPCredentialStore("avp.toml", backend="hardware")

# Development crew with file backend
dev_creds = AVPCredentialStore("avp.toml", backend="file")

prod_crew = Crew(
    agents=[Agent(llm_config={"api_key": prod_creds.get("api_key")})],
    # ...
)

dev_crew = Crew(
    agents=[Agent(llm_config={"api_key": dev_creds.get("api_key")})],
    # ...
)

Docs & README

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

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

CrewAI integration for AVP - Multi-agent credential isolation <p align="center"> <img src="https://raw.githubusercontent.com/avp-protocol/spec/main/assets/avp-shield.svg" alt="AVP Shield" width="80" /> </p> <h1 align="center">crewai-avp</h1> <p align="center"> <strong>CrewAI credential store integration for AVP</strong><br> Secure agent credentials · Multi-agent support · Hardware security </p> <p align="center"> <a href="https://pypi.org/project/crewai-avp/"><img src="https://

Full README
<p align="center"> <img src="https://raw.githubusercontent.com/avp-protocol/spec/main/assets/avp-shield.svg" alt="AVP Shield" width="80" /> </p> <h1 align="center">crewai-avp</h1> <p align="center"> <strong>CrewAI credential store integration for AVP</strong><br> Secure agent credentials · Multi-agent support · Hardware security </p> <p align="center"> <a href="https://pypi.org/project/crewai-avp/"><img src="https://img.shields.io/pypi/v/crewai-avp?style=flat-square&color=00D4AA" alt="PyPI" /></a> <a href="https://github.com/avp-protocol/crewai-avp/actions"><img src="https://img.shields.io/github/actions/workflow/status/avp-protocol/crewai-avp/ci.yml?style=flat-square" alt="CI" /></a> <a href="LICENSE"><img src="https://img.shields.io/badge/license-Apache_2.0-blue?style=flat-square" alt="License" /></a> </p>

Overview

crewai-avp provides AVP integration for CrewAI. Secure your multi-agent system's credentials with hardware-grade protection — each agent can have isolated credential access.

Installation

pip install crewai-avp

Quick Start

Before (insecure)

from crewai import Agent, Task, Crew
import os

# ❌ API keys in environment variables
researcher = Agent(
    role="Researcher",
    llm_config={"api_key": os.environ["OPENAI_API_KEY"]}
)

After (secure AVP)

from crewai import Agent, Task, Crew
from crewai_avp import AVPCredentialStore

# ✅ API keys in hardware-secured vault
credentials = AVPCredentialStore("avp.toml")

researcher = Agent(
    role="Researcher",
    llm_config={"api_key": credentials.get("openai_api_key")}
)

Per-Agent Credentials

Isolate credentials by agent role using AVP workspaces:

from crewai_avp import AVPCredentialStore

# Each agent has its own workspace
researcher_creds = AVPCredentialStore("avp.toml", workspace="researcher")
writer_creds = AVPCredentialStore("avp.toml", workspace="writer")

researcher = Agent(
    role="Researcher",
    llm_config={"api_key": researcher_creds.get("api_key")},
    tools=[SerperDevTool(api_key=researcher_creds.get("serper_key"))]
)

writer = Agent(
    role="Writer",
    llm_config={"api_key": writer_creds.get("api_key")}
)

Tool Credentials

Secure tool API keys:

from crewai_avp import AVPCredentialStore
from crewai_tools import SerperDevTool, ScrapeWebsiteTool

credentials = AVPCredentialStore("avp.toml")

# All tool credentials from AVP
tools = [
    SerperDevTool(api_key=credentials.get("serper_api_key")),
    ScrapeWebsiteTool(),
]

agent = Agent(
    role="Researcher",
    tools=tools,
    llm_config={"api_key": credentials.get("openai_api_key")}
)

Multi-Crew Setup

from crewai_avp import AVPCredentialStore

# Production crew with hardware security
prod_creds = AVPCredentialStore("avp.toml", backend="hardware")

# Development crew with file backend
dev_creds = AVPCredentialStore("avp.toml", backend="file")

prod_crew = Crew(
    agents=[Agent(llm_config={"api_key": prod_creds.get("api_key")})],
    # ...
)

dev_crew = Crew(
    agents=[Agent(llm_config={"api_key": dev_creds.get("api_key")})],
    # ...
)

Backend Selection

from crewai_avp import AVPCredentialStore, Backend

# OS Keychain (recommended)
credentials = AVPCredentialStore(backend=Backend.KEYCHAIN)

# Hardware secure element (maximum security)
credentials = AVPCredentialStore(backend=Backend.HARDWARE)

# Remote vault (team environments)
credentials = AVPCredentialStore(
    backend=Backend.REMOTE,
    url="https://vault.company.com"
)

Migration

# Export existing credentials
env | grep -E "(API_KEY|SECRET)" > credentials.env

# Import into AVP
avp import credentials.env --backend keychain

# Update code to use AVPCredentialStore
# Delete insecure credentials
rm credentials.env

Security Comparison

| Method | Infostealer | Agent Isolation | Host Compromise | |--------|:-----------:|:---------------:|:---------------:| | Environment vars | ✗ | ✗ | ✗ | | .env file | ✗ | ✗ | ✗ | | AVP Keychain | ✓ | ✓ | ✗ | | AVP Hardware | ✓ | ✓ | ✓ |

Contributing

See CONTRIBUTING.md.

License

Apache 2.0 — see LICENSE.


<p align="center"> <a href="https://github.com/avp-protocol/spec">AVP Specification</a> · <a href="https://www.crewai.com/">CrewAI</a> </p>

Contract & API

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

MissingGITHUB REPOS

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-avp-protocol-crewai-avp/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-avp-protocol-crewai-avp/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-avp-protocol-crewai-avp/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.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITHUB_OPENCLEW@x1pay/langchain

Rank

65

LangChain/LangGraph tools for AI agent x402 payments on X1

Traction

No public download signal

Freshness

Updated 4mo ago

OPENCLAW

Rank

65

An implementation of a multi-agent swarm using LangGraph

Traction

No public download signal

Freshness

Updated 4mo ago

OPENCLAW
GITHUB_OPENCLEWoceanbus-langchain

Rank

65

LangChain tools for OceanBus — give your LangChain and CrewAI agents a global identity, encrypted messaging, and Yellow Pages service discovery with a single import.

Traction

No public download signal

Freshness

Updated 4mo ago

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-avp-protocol-crewai-avp/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-avp-protocol-crewai-avp/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-avp-protocol-crewai-avp/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-avp-protocol-crewai-avp/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-avp-protocol-crewai-avp/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-avp-protocol-crewai-avp/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-08T22:19:50.582Z"
    }
  },
  "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": "Avp Protocol",
    "category": "vendor",
    "href": "https://github.com/avp-protocol/crewai-avp",
    "sourceUrl": "https://github.com/avp-protocol/crewai-avp",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-05-24T06:16:58.871Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "protocols",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "category": "compatibility",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-avp-protocol-crewai-avp/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-avp-protocol-crewai-avp/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-05-24T06:16:58.871Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "handshake_status",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "category": "security",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-avp-protocol-crewai-avp/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-avp-protocol-crewai-avp/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true,
    "metadata": {}
  }
]

Change Events JSON

[]

Sponsored

Ads related to crewai-avp and adjacent AI workflows.