Crawler Summary

adapter-crewai answer-first brief

Palveron AI Governance adapter for CrewAI — task guardrails and audit trails palveron-crewai PALVERON AI Governance adapter for **CrewAI** — task guardrails, step callbacks, and audit trails for every crew execution. $1 $1 --- Add one guardrail function. Every task output gets checked against your $1 governance policies. PII is caught. Blocked outputs trigger retries. Everything gets an audit trail. Installation Quick Start: Task Guardrail If the agent's output contains PII, secrets, or viola Capability contract not published. No trust telemetry is available yet. Last updated 5/31/2026.

Freshness

Last checked 5/31/2026

Best For

adapter-crewai 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

adapter-crewai

Palveron AI Governance adapter for CrewAI — task guardrails and audit trails palveron-crewai PALVERON AI Governance adapter for **CrewAI** — task guardrails, step callbacks, and audit trails for every crew execution. $1 $1 --- Add one guardrail function. Every task output gets checked against your $1 governance policies. PII is caught. Blocked outputs trigger retries. Everything gets an audit trail. Installation Quick Start: Task Guardrail If the agent's output contains PII, secrets, or viola

OpenClawself-declared

Public facts

3

Change events

0

Artifacts

0

Freshness

May 31, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 5/31/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

May 31, 2026

Vendor

Palveron

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Unpublished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 5/31/2026.

Setup snapshot

git clone https://github.com/palveron/adapter-crewai.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

Palveron

profilemedium
Observed May 31, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed May 31, 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 OPENCLEW

Extracted files

0

Examples

5

Snippets

0

Languages

python

Executable Examples

bash

pip install palveron-crewai

python

from crewai import Agent, Task, Crew
from palveron_crewai import palveron_guardrail

# Create PALVERON guardrail
guardrail = palveron_guardrail(api_key="pv_live_xxx")

# Attach to any task
report_task = Task(
    description="Write a customer analysis report",
    expected_output="A report with customer insights",
    agent=analyst_agent,
    guardrail=guardrail,           # ← PALVERON governance
    guardrail_max_retries=2,       # Retry if blocked
)

python

from palveron_crewai import PalveronStepCallback

callback = PalveronStepCallback(api_key="pv_live_xxx")

crew = Crew(
    agents=[researcher, writer],
    tasks=[research_task, write_task],
    step_callback=callback,  # ← Every step governed
)

result = crew.kickoff(inputs={"topic": "AI Safety"})

# Governance summary
print(f"Checked: {callback.check_count}, Blocked: {callback.blocked_count}")
print(f"Traces: {callback.trace_ids}")

python

from palveron_crewai import PalveronCrewGovernance

gov = PalveronCrewGovernance(api_key="pv_live_xxx")

task = Task(..., guardrail=gov.task_guardrail())
crew = Crew(..., step_callback=gov.step_callback())

result = crew.kickoff(inputs={...})
print(gov.summary())  # {"checks": 12, "blocked": 1, "trace_ids": [...]}

python

guardrail = palveron_guardrail(
    api_key="pv_live_xxx",
    base_url="https://gateway.internal.corp:8080",  # On-prem
    fail_open=False,          # Block on gateway errors (default)
    metadata={"team": "ml"},  # Extra metadata on traces
)

Docs & README

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

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Palveron AI Governance adapter for CrewAI — task guardrails and audit trails palveron-crewai PALVERON AI Governance adapter for **CrewAI** — task guardrails, step callbacks, and audit trails for every crew execution. $1 $1 --- Add one guardrail function. Every task output gets checked against your $1 governance policies. PII is caught. Blocked outputs trigger retries. Everything gets an audit trail. Installation Quick Start: Task Guardrail If the agent's output contains PII, secrets, or viola

Full README

palveron-crewai

PALVERON AI Governance adapter for CrewAI — task guardrails, step callbacks, and audit trails for every crew execution.

PyPI License


Add one guardrail function. Every task output gets checked against your PALVERON governance policies. PII is caught. Blocked outputs trigger retries. Everything gets an audit trail.

Installation

pip install palveron-crewai

Quick Start: Task Guardrail

from crewai import Agent, Task, Crew
from palveron_crewai import palveron_guardrail

# Create PALVERON guardrail
guardrail = palveron_guardrail(api_key="pv_live_xxx")

# Attach to any task
report_task = Task(
    description="Write a customer analysis report",
    expected_output="A report with customer insights",
    agent=analyst_agent,
    guardrail=guardrail,           # ← PALVERON governance
    guardrail_max_retries=2,       # Retry if blocked
)

If the agent's output contains PII, secrets, or violates your policies, CrewAI automatically retries the task with PALVERON feedback.

Quick Start: Step Callback

from palveron_crewai import PalveronStepCallback

callback = PalveronStepCallback(api_key="pv_live_xxx")

crew = Crew(
    agents=[researcher, writer],
    tasks=[research_task, write_task],
    step_callback=callback,  # ← Every step governed
)

result = crew.kickoff(inputs={"topic": "AI Safety"})

# Governance summary
print(f"Checked: {callback.check_count}, Blocked: {callback.blocked_count}")
print(f"Traces: {callback.trace_ids}")

Combined Governance

from palveron_crewai import PalveronCrewGovernance

gov = PalveronCrewGovernance(api_key="pv_live_xxx")

task = Task(..., guardrail=gov.task_guardrail())
crew = Crew(..., step_callback=gov.step_callback())

result = crew.kickoff(inputs={...})
print(gov.summary())  # {"checks": 12, "blocked": 1, "trace_ids": [...]}

Configuration

guardrail = palveron_guardrail(
    api_key="pv_live_xxx",
    base_url="https://gateway.internal.corp:8080",  # On-prem
    fail_open=False,          # Block on gateway errors (default)
    metadata={"team": "ml"},  # Extra metadata on traces
)

How It Works

| Decision | Guardrail Behavior | |----------|-------------------| | ALLOWED | (True, output) — task proceeds | | MODIFIED | (True, sanitized_output) — proceeds with PII redacted | | BLOCKED | (False, feedback) — CrewAI retries with PALVERON feedback |

Links

License

Apache 2.0

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-palveron-adapter-crewai/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-palveron-adapter-crewai/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-palveron-adapter-crewai/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-palveron-adapter-crewai/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-palveron-adapter-crewai/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-palveron-adapter-crewai/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-palveron-adapter-crewai/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-palveron-adapter-crewai/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-palveron-adapter-crewai/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-10-08T22:21:04.393Z"
    }
  },
  "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": "Palveron",
    "category": "vendor",
    "href": "https://github.com/palveron/adapter-crewai",
    "sourceUrl": "https://github.com/palveron/adapter-crewai",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-05-31T06:18:13.561Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "protocols",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "category": "compatibility",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-palveron-adapter-crewai/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-palveron-adapter-crewai/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-05-31T06:18:13.561Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "handshake_status",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "category": "security",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-palveron-adapter-crewai/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-palveron-adapter-crewai/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true,
    "metadata": {}
  }
]

Change Events JSON

[]

Sponsored

Ads related to adapter-crewai and adjacent AI workflows.