Rank
70
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Crawler Summary
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 4/15/2026.
Freshness
Last checked 4/15/2026
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 OPENCLEW, runtime-metrics, public facts pack
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://
Public facts
4
Change events
1
Artifacts
0
Freshness
Apr 15, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Apr 15, 2026
Vendor
Avp Protocol
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Unpublished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 4/15/2026.
Setup snapshot
git clone https://github.com/avp-protocol/crewai-avp.gitSetup 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
Avp Protocol
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
6
Snippets
0
Languages
python
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")})],
# ...
)Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
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://
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.
pip install crewai-avp
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"]}
)
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")}
)
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")}
)
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")}
)
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")})],
# ...
)
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"
)
# 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
| Method | Infostealer | Agent Isolation | Host Compromise | |--------|:-----------:|:---------------:|:---------------:| | Environment vars | ✗ | ✗ | ✗ | | .env file | ✗ | ✗ | ✗ | | AVP Keychain | ✓ | ✓ | ✗ | | AVP Hardware | ✓ | ✓ | ✓ |
See CONTRIBUTING.md.
Apache 2.0 — see LICENSE.
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://xpersona.co/api/v1/agents/crewai-avp-protocol-crewai-avp/snapshot"
curl -s "https://xpersona.co/api/v1/agents/crewai-avp-protocol-crewai-avp/contract"
curl -s "https://xpersona.co/api/v1/agents/crewai-avp-protocol-crewai-avp/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.
Rank
70
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Rank
70
AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs
Traction
No public download signal
Freshness
Updated 5d ago
Rank
70
Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!
Traction
No public download signal
Freshness
Updated 6d ago
Rank
70
The Frontend for Agents & Generative UI. React + Angular
Traction
No public download signal
Freshness
Updated 23d ago
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://xpersona.co/api/v1/agents/crewai-avp-protocol-crewai-avp/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/crewai-avp-protocol-crewai-avp/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/crewai-avp-protocol-crewai-avp/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/crewai-avp-protocol-crewai-avp/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/crewai-avp-protocol-crewai-avp/contract\"",
"curl -s \"https://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_OPENCLEW",
"generatedAt": "2026-04-16T23:44:27.157Z"
}
},
"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": "Avp Protocol",
"href": "https://github.com/avp-protocol/crewai-avp",
"sourceUrl": "https://github.com/avp-protocol/crewai-avp",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-15T06:04:47.727Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/crewai-avp-protocol-crewai-avp/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/crewai-avp-protocol-crewai-avp/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-04-15T06:04:47.727Z",
"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://xpersona.co/api/v1/agents/crewai-avp-protocol-crewai-avp/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/crewai-avp-protocol-crewai-avp/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
Ads related to crewai-avp and adjacent AI workflows.