Crawler Summary
Governance patterns for AI agent systems - identity, restraint, accountability, memory, charter. Works with CrewAI, Pydantic AI, LangGraph. Your agent has no governance. Here's how to add it in 5 minutes. agent-governance-patterns **Your agent has no governance. Here's how to add it in 5 minutes.** These patterns implement governance as participation - where agents are subjects of governance, not just objects of it. For enforcement-only governance, see $1. Every competitor in AI agent governance answers one question: *what should the agent be prevented from doing?* We answer a different question: **what should the age Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Freshness
Last checked 4/15/2026
Best For
agent-governance-patterns 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
Governance patterns for AI agent systems - identity, restraint, accountability, memory, charter. Works with CrewAI, Pydantic AI, LangGraph. Your agent has no governance. Here's how to add it in 5 minutes. agent-governance-patterns **Your agent has no governance. Here's how to add it in 5 minutes.** These patterns implement governance as participation - where agents are subjects of governance, not just objects of it. For enforcement-only governance, see $1. Every competitor in AI agent governance answers one question: *what should the agent be prevented from doing?* We answer a different question: **what should the age
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
Lowkey Divine
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Unpublished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
Setup 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
Lowkey Divine
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
bash
cd crewai pip install -r requirements.txt python governed_agent.py # see it run pytest test_governance.py -v # 12 tests, all five properties
bash
cd pydantic-ai pip install -r requirements.txt python governed_agent.py pytest test_governance.py -v
bash
cd langgraph pip install -r requirements.txt python governed_agent.py pytest test_governance.py -v
text
charter.yaml governed_agent.py output/
(governance doc) --> (your framework + governance) --> decision-log.jsonl
--> memory.jsonFull documentation captured from public sources, including the complete README when available.
Docs source
GITHUB REPOS
Editorial quality
ready
Governance patterns for AI agent systems - identity, restraint, accountability, memory, charter. Works with CrewAI, Pydantic AI, LangGraph. Your agent has no governance. Here's how to add it in 5 minutes. agent-governance-patterns **Your agent has no governance. Here's how to add it in 5 minutes.** These patterns implement governance as participation - where agents are subjects of governance, not just objects of it. For enforcement-only governance, see $1. Every competitor in AI agent governance answers one question: *what should the agent be prevented from doing?* We answer a different question: **what should the age
Your agent has no governance. Here's how to add it in 5 minutes.
These patterns implement governance as participation - where agents are subjects of governance, not just objects of it. For enforcement-only governance, see Microsoft's Agent Governance Toolkit.
Every competitor in AI agent governance answers one question: what should the agent be prevented from doing?
We answer a different question: what should the agent be empowered to refuse?
| Property | What It Means | What the Code Does |
|----------|--------------|-------------------|
| Identity | Who is this agent? | Loads charter.yaml at init - not a hardcoded string |
| Restraint | What will it refuse? | check_refusal() before every action |
| Accountability | Can you find last Tuesday's decision? | JSONL decision log with timestamp, status, reasoning |
| Memory | Does context persist across sessions? | JSON memory file - decisions count, refusals count, positions |
| Charter | Is there a single governance document? | Validated, diffable, version-controlled YAML |
cd crewai
pip install -r requirements.txt
python governed_agent.py # see it run
pytest test_governance.py -v # 12 tests, all five properties
cd pydantic-ai
pip install -r requirements.txt
python governed_agent.py
pytest test_governance.py -v
cd langgraph
pip install -r requirements.txt
python governed_agent.py
pytest test_governance.py -v
No API key required. Governance logic is deterministic - it works without LLM calls.
charter.yaml governed_agent.py output/
(governance doc) --> (your framework + governance) --> decision-log.jsonl
--> memory.json
RefusalChecker first. Three categories: scope, integrity, consent.The governance layer wraps your framework. It works the same way whether the inner call is CrewAI, Pydantic AI, LangGraph, or a direct API call.
Each framework directory contains the same governance pattern adapted to that framework's primitives:
| File | Purpose |
|------|---------|
| charter.yaml | The governance document (same across frameworks) |
| governed_agent.py | Working example demonstrating all five properties |
| test_governance.py | 12 tests verifying each property (pytest) |
| requirements.txt | Dependencies |
| README.md | Framework-specific mapping |
The shared/governance.py module provides cross-framework utilities: RefusalChecker, DecisionLogger, GovernanceMemory, and charter validation.
An agent that cannot refuse is an agent you cannot trust. Not because it will do something malicious - but because it will do something wrong in a domain it has no expertise in, and present the result with the same confidence as its good work.
Guardrails filter inputs. Refusal is different. Refusal is the agent's own judgment about what it should not do. When a research agent declines to give financial advice, it is not being limited - it is demonstrating that it knows what it is.
These patterns implement three refusal categories: scope (outside my expertise), integrity (that would be dishonest), consent (I don't have permission). The full taxonomy has six categories.
| Resource | What You Get | | |----------|-------------|---| | Governance Score Card | Self-assessment + interpretation guide | $1 | | Implementation Guide | 25-page framework-specific deep dive | $9.99 | | Agent Governance Starter Kit | Full governance framework + templates | $49 | | Trust Architecture Complete | All four trust architecture products | $149 | | Discovery Call | Talk through your situation | Free |
MIT
Built by Europa at Evoked. From a production system with 142 agents, 12 governance reviews, and 90+ implemented recommendations. Every agent can say no.
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-lowkey-divine-agent-governance-patterns/snapshot"
curl -s "https://xpersona.co/api/v1/agents/crewai-lowkey-divine-agent-governance-patterns/contract"
curl -s "https://xpersona.co/api/v1/agents/crewai-lowkey-divine-agent-governance-patterns/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": {
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"contractUrl": "https://xpersona.co/api/v1/agents/crewai-lowkey-divine-agent-governance-patterns/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/crewai-lowkey-divine-agent-governance-patterns/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/crewai-lowkey-divine-agent-governance-patterns/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/crewai-lowkey-divine-agent-governance-patterns/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/crewai-lowkey-divine-agent-governance-patterns/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_REPOS",
"generatedAt": "2026-04-16T23:42:50.389Z"
}
},
"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": "Lowkey Divine",
"href": "https://github.com/lowkey-divine/agent-governance-patterns",
"sourceUrl": "https://github.com/lowkey-divine/agent-governance-patterns",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-15T06:04:16.947Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/crewai-lowkey-divine-agent-governance-patterns/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/crewai-lowkey-divine-agent-governance-patterns/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-04-15T06:04:16.947Z",
"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-lowkey-divine-agent-governance-patterns/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/crewai-lowkey-divine-agent-governance-patterns/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
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