activepieces
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
Crawler Summary
Working example: Governance for CrewAI multi-agent teams <p align="center"> <a href="https://asqav.com"><img src="https://asqav.com/logo-text-white.png" alt="Asqav" width="150"></a> </p> Asqav + CrewAI Example Add governance and audit trails to CrewAI multi-agent teams. Data handling This example uses the asqav Python SDK. By default, the SDK auto-detects the deployment: - **Asqav cloud (*.asqav.com):** the SDK hashes your action context locally and sends only the hash plu Capability contract not published. No trust telemetry is available yet. Last updated 5/18/2026.
Freshness
Last checked 5/18/2026
Best For
asqav-crewai-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 OPENCLEW, runtime-metrics, public facts pack
Working example: Governance for CrewAI multi-agent teams <p align="center"> <a href="https://asqav.com"><img src="https://asqav.com/logo-text-white.png" alt="Asqav" width="150"></a> </p> Asqav + CrewAI Example Add governance and audit trails to CrewAI multi-agent teams. Data handling This example uses the asqav Python SDK. By default, the SDK auto-detects the deployment: - **Asqav cloud (*.asqav.com):** the SDK hashes your action context locally and sends only the hash plu
Public facts
4
Change events
1
Artifacts
0
Freshness
May 18, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 5/18/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
May 18, 2026
Vendor
Jagmarques
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Unpublished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 5/18/2026.
Setup snapshot
git clone https://github.com/jagmarques/asqav-crewai-example.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
Jagmarques
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
4
Snippets
0
Languages
python
python
import asqav asqav.init(api_key="sk_...", base_url="https://api.asqav.com", mode="hash-only")
bash
pip install -r requirements.txt cp .env.example .env # Add your keys to .env python main.py
text
[asqav] Crew session started: b]2e7... [asqav] Agent: Researcher - task_start: "Find recent AI governance frameworks" [asqav] Agent: Researcher - tool_use: search_internet [asqav] Agent: Researcher - task_complete (1247 tokens) [asqav] Agent: Writer - task_start: "Summarize findings" [asqav] Agent: Writer - task_complete (832 tokens) [asqav] Crew finished: 5 events across 2 agents, chain integrity: valid
python
from asqav.extras.crewai import AsqavCrewHook hook = AsqavCrewHook() crew = Crew(agents=[...], tasks=[...]) # Attach the hook via callbacks crew.kickoff(step_callback=hook.on_step, task_callback=hook.on_task)
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
Working example: Governance for CrewAI multi-agent teams <p align="center"> <a href="https://asqav.com"><img src="https://asqav.com/logo-text-white.png" alt="Asqav" width="150"></a> </p> Asqav + CrewAI Example Add governance and audit trails to CrewAI multi-agent teams. Data handling This example uses the asqav Python SDK. By default, the SDK auto-detects the deployment: - **Asqav cloud (*.asqav.com):** the SDK hashes your action context locally and sends only the hash plu
Add governance and audit trails to CrewAI multi-agent teams.
This example uses the asqav Python SDK. By default, the SDK auto-detects the deployment:
*.asqav.com): the SDK hashes your action context locally and sends only the hash plus a small metadata bag (action_type, agent_id, session_id, model_name, tool_name). Raw prompts and tool arguments never leave your infrastructure.Override per call:
import asqav
asqav.init(api_key="sk_...", base_url="https://api.asqav.com", mode="hash-only")
This is GDPR-aware data minimization by default for cloud deployments. See docs/fingerprint-spec.md in the SDK repo for the fingerprint spec and conformance vectors.
Hooks into a CrewAI crew using AsqavCrewHook. Every agent action, task handoff, and tool call across your entire team gets logged to an immutable audit trail - you see exactly which agent did what and when.
pip install -r requirements.txt
cp .env.example .env
# Add your keys to .env
python main.py
[asqav] Crew session started: b]2e7...
[asqav] Agent: Researcher - task_start: "Find recent AI governance frameworks"
[asqav] Agent: Researcher - tool_use: search_internet
[asqav] Agent: Researcher - task_complete (1247 tokens)
[asqav] Agent: Writer - task_start: "Summarize findings"
[asqav] Agent: Writer - task_complete (832 tokens)
[asqav] Crew finished: 5 events across 2 agents, chain integrity: valid
Full trace of your multi-agent workflow. Every event linked to the previous one. If an agent misbehaves or results get tampered with, the audit trail shows it.
from asqav.extras.crewai import AsqavCrewHook
hook = AsqavCrewHook()
crew = Crew(agents=[...], tasks=[...])
# Attach the hook via callbacks
crew.kickoff(step_callback=hook.on_step, task_callback=hook.on_task)
Your crew runs exactly the same. You just get a verifiable record of everything that happened.
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-jagmarques-asqav-crewai-example/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-jagmarques-asqav-crewai-example/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-jagmarques-asqav-crewai-example/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.
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
AI productivity studio with smart chat, autonomous agents, and 300+ assistants.
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!
The Frontend for Agents & Generative UI. React + Angular
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-jagmarques-asqav-crewai-example/snapshot",
"contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-jagmarques-asqav-crewai-example/contract",
"trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-jagmarques-asqav-crewai-example/trust"
},
"curlExamples": [
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-jagmarques-asqav-crewai-example/snapshot\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-jagmarques-asqav-crewai-example/contract\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-jagmarques-asqav-crewai-example/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-10-09T13:51:54.174Z"
}
},
"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": "Jagmarques",
"category": "vendor",
"href": "https://github.com/jagmarques/asqav-crewai-example",
"sourceUrl": "https://github.com/jagmarques/asqav-crewai-example",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-05-11T06:21:50.179Z",
"isPublic": true,
"metadata": {}
},
{
"factKey": "protocols",
"label": "Protocol compatibility",
"value": "OpenClaw",
"category": "compatibility",
"href": "https://www.xpersona.co/api/v1/agents/crewai-jagmarques-asqav-crewai-example/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-jagmarques-asqav-crewai-example/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-05-11T06:21:50.179Z",
"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-jagmarques-asqav-crewai-example/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-jagmarques-asqav-crewai-example/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true,
"metadata": {}
}
]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,
"metadata": {}
}
]Sponsored
Ads related to asqav-crewai-example and adjacent AI workflows.