How should kreuzberg-crewai be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this skill.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Crawler Summary

kreuzberg-crewai answer-first brief

Extract text and metadata from 88+ document formats — PDF, DOCX, XLSX, HTML, images with OCR, and more — directly from your CrewAI agents. kreuzberg-crewai <div align="center" style="display: flex; flex-wrap: wrap; gap: 8px; justify-content: center; margin: 20px 0;"> <a href="https://pypi.org/project/kreuzberg-crewai/"><img src="https://img.shields.io/pypi/v/kreuzberg-crewai?label=kreuzberg-crewai&color=007ec6" alt="PyPI version"></a> <a href="https://pypi.org/project/kreuzberg-crewai/"><img src="https://img.shields.io/pypi/pyversions/kreuzberg-crewai?c Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 5/31/2026.

Freshness

Last checked 5/31/2026

Best For

kreuzberg-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

Card Facts Snapshot Contract Trust

Claim this agent

Agent DossierGitHubSafety: 66/100

kreuzberg-crewai

OpenClawself-declared

Public facts

Change events

Artifacts

Freshness

May 31, 2026

Verifiededitorial-contentNo verified compatibility signals1 GitHub stars

Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 5/31/2026.

1 GitHub starsTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

May 31, 2026

Vendor

Kreuzberg Dev

Artifacts

Benchmarks

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Unpublished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. 1 GitHub stars reported by the source. Last updated 5/31/2026.

View Source

Setup snapshot

git clone https://github.com/kreuzberg-dev/kreuzberg-crewai.git

1
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
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

Kreuzberg Dev

profilemedium

Observed May 31, 2026Source link Provenance

Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium

Observed May 31, 2026Source link Provenance

Adoption (1)

Adoption signal

1 GitHub stars

profilemedium

Observed May 31, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

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

Examples

Snippets

Languages

python

Executable Examples

bash

pip install kreuzberg-crewai

python

from crewai import Agent, Crew, Task

from kreuzberg_crewai import KreuzbergExtractTool

tool = KreuzbergExtractTool()

agent = Agent(
    role="Document Analyst",
    goal="Extract and analyze document content",
    backstory="You are an expert at reading and understanding documents.",
    tools=[tool],
)

task = Task(
    description="Extract the content from report.pdf and summarize the key findings.",
    expected_output="A summary of the key findings in the report.",
    agent=agent,
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()

python

from kreuzberg_crewai import KreuzbergExtractTool

tool = KreuzbergExtractTool()

# The agent calls this automatically, but you can also call it directly:
content = tool._run(file_path="report.pdf", output_format="markdown")

python

from kreuzberg_crewai import KreuzbergExtractMetadataTool

tool = KreuzbergExtractMetadataTool()

metadata = tool._run(file_path="report.pdf")
# title: Annual Report 2025
# authors: ['John Doe']
# page_count: 42
# pdf_version: 1.7

python

from crewai import Agent, Crew, Task

from kreuzberg_crewai import KreuzbergExtractMetadataTool, KreuzbergExtractTool

extract_tool = KreuzbergExtractTool()
metadata_tool = KreuzbergExtractMetadataTool()

agent = Agent(
    role="Research Assistant",
    goal="Read documents and extract useful information",
    backstory="You help researchers by reading and analyzing documents.",
    tools=[extract_tool, metadata_tool],
)

task = Task(
    description=(
        "First, check the metadata of research-paper.pdf to find the authors and date. "
        "Then extract the full content in markdown format and list the key conclusions."
    ),
    expected_output="Authors, date, and key conclusions from the paper.",
    agent=agent,
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()

bash

# Install dependencies
uv sync

# Run tests
uv run pytest

# Run linting
uv run ruff check src/ tests/
uv run ruff format --check src/ tests/

# Run type checking
uv run mypy src/

Docs & README

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

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Full README

kreuzberg-crewai

Kreuzberg document extraction tools for CrewAI agents.

Extract text and metadata from 90+ document formats — PDF, DOCX, XLSX, HTML, images with OCR, and more — directly from your CrewAI agents.

Installation

pip install kreuzberg-crewai

Quick Start

from crewai import Agent, Crew, Task

from kreuzberg_crewai import KreuzbergExtractTool

tool = KreuzbergExtractTool()

agent = Agent(
    role="Document Analyst",
    goal="Extract and analyze document content",
    backstory="You are an expert at reading and understanding documents.",
    tools=[tool],
)

task = Task(
    description="Extract the content from report.pdf and summarize the key findings.",
    expected_output="A summary of the key findings in the report.",
    agent=agent,
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()

Tools

KreuzbergExtractTool

Extracts text content from a document file.

Parameters:

| Parameter | Type | Default | Description | |---|---|---|---| | file_path | str | required | Path to the document file | | output_format | "plain" \| "markdown" \| "html" | "markdown" | Output format |

from kreuzberg_crewai import KreuzbergExtractTool

tool = KreuzbergExtractTool()

# The agent calls this automatically, but you can also call it directly:
content = tool._run(file_path="report.pdf", output_format="markdown")

KreuzbergExtractMetadataTool

Extracts metadata (title, authors, dates, page count, format-specific details) from a document file.

Parameters:

| Parameter | Type | Default | Description | |---|---|---|---| | file_path | str | required | Path to the document file |

from kreuzberg_crewai import KreuzbergExtractMetadataTool

tool = KreuzbergExtractMetadataTool()

metadata = tool._run(file_path="report.pdf")
# title: Annual Report 2025
# authors: ['John Doe']
# page_count: 42
# pdf_version: 1.7

Agent Example

Using both tools together:

from crewai import Agent, Crew, Task

from kreuzberg_crewai import KreuzbergExtractMetadataTool, KreuzbergExtractTool

extract_tool = KreuzbergExtractTool()
metadata_tool = KreuzbergExtractMetadataTool()

agent = Agent(
    role="Research Assistant",
    goal="Read documents and extract useful information",
    backstory="You help researchers by reading and analyzing documents.",
    tools=[extract_tool, metadata_tool],
)

task = Task(
    description=(
        "First, check the metadata of research-paper.pdf to find the authors and date. "
        "Then extract the full content in markdown format and list the key conclusions."
    ),
    expected_output="Authors, date, and key conclusions from the paper.",
    agent=agent,
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()

Supported Formats

Kreuzberg supports 90+ file formats:

Documents: PDF, DOCX, DOC, XLSX, XLS, PPTX, PPT, ODT, ODS, ODP, RTF, and more
Text/Markup: TXT, MD, HTML, XML, JSON, YAML, LaTeX, Jupyter notebooks
Images (OCR): PNG, JPEG, TIFF, GIF, BMP, WEBP, SVG
Email: EML, MSG (with attachment extraction)
eBooks: EPUB
Archives: ZIP, RAR, 7Z, TAR, GZIP
Data: CSV, DBF

Development

# Install dependencies
uv sync

# Run tests
uv run pytest

# Run linting
uv run ruff check src/ tests/
uv run ruff format --check src/ tests/

# Run type checking
uv run mypy src/

License

MIT

Contract & API

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

MissingGITHUB OPENCLEW

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

missing

Auth

None

Streaming

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-kreuzberg-dev-kreuzberg-crewai/snapshot"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-kreuzberg-dev-kreuzberg-crewai/contract"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-kreuzberg-dev-kreuzberg-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

LangChain/LangGraph tools for AI agent x402 payments on X1

Traction

No public download signal

Freshness

Updated 4mo ago

OPENCLAW

GITHUB_OPENCLEW@langchain/langgraph-swarm

Rank

An implementation of a multi-agent swarm using LangGraph

Traction

No public download signal

Freshness

Updated 4mo ago

OPENCLAW

GITHUB_OPENCLEW@langchain/langgraph-supervisor

Rank

LangGraph Multi-Agent Supervisor

Traction

No public download signal

Freshness

Updated 4mo ago

OPENCLAW

GITHUB_OPENCLEWoceanbus-langchain

Rank

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-kreuzberg-dev-kreuzberg-crewai/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-kreuzberg-dev-kreuzberg-crewai/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-kreuzberg-dev-kreuzberg-crewai/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-kreuzberg-dev-kreuzberg-crewai/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-kreuzberg-dev-kreuzberg-crewai/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-kreuzberg-dev-kreuzberg-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": "2026-10-08T22:21:39.578Z"
    }
  },
  "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": "Kreuzberg Dev",
    "category": "vendor",
    "href": "https://github.com/kreuzberg-dev/kreuzberg-crewai",
    "sourceUrl": "https://github.com/kreuzberg-dev/kreuzberg-crewai",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-05-31T06:18:04.889Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "protocols",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "category": "compatibility",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-kreuzberg-dev-kreuzberg-crewai/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-kreuzberg-dev-kreuzberg-crewai/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-05-31T06:18:04.889Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "traction",
    "label": "Adoption signal",
    "value": "1 GitHub stars",
    "category": "adoption",
    "href": "https://github.com/kreuzberg-dev/kreuzberg-crewai",
    "sourceUrl": "https://github.com/kreuzberg-dev/kreuzberg-crewai",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-05-31T06:18:04.889Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "handshake_status",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "category": "security",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-kreuzberg-dev-kreuzberg-crewai/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-kreuzberg-dev-kreuzberg-crewai/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true,
    "metadata": {}
  }
]

Change Events JSON

[]