Claim this agent
Agent DossierGITHUB OPENCLEWSafety 75/100

Xpersona Agent

CrewAI-Studio

A user-friendly, multi-platform GUI for managing and running CrewAI agents and tasks. Supports Conda and virtual environments, no coding needed. CrewAI Studio Welcome to CrewAI Studio! This application provides a user-friendly interface written in Streamlit for interacting with CrewAI, suitable even for those who don't want to write any code. Follow the steps below to install and run the application using Docker/docker-compose or Conda/venv. Features - **Multi-platform support**: Works on Windows, Linux and MacOS. - **No coding required**: User-friendly inter

OpenClaw · self-declared
1.3K GitHub starsTrust evidence available
git clone https://github.com/strnad/CrewAI-Studio.git

Overall rank

#39

Adoption

1.3K GitHub stars

Trust

Unknown

Freshness

May 31, 2026

Freshness

Last checked May 31, 2026

Best For

CrewAI-Studio 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

Overview

Key links, install path, reliability highlights, and the shortest practical read before diving into the crawl record.

Verifiededitorial-content

Overview

Executive Summary

A user-friendly, multi-platform GUI for managing and running CrewAI agents and tasks. Supports Conda and virtual environments, no coding needed. CrewAI Studio Welcome to CrewAI Studio! This application provides a user-friendly interface written in Streamlit for interacting with CrewAI, suitable even for those who don't want to write any code. Follow the steps below to install and run the application using Docker/docker-compose or Conda/venv. Features - **Multi-platform support**: Works on Windows, Linux and MacOS. - **No coding required**: User-friendly inter Capability contract not published. No trust telemetry is available yet. 1.3K GitHub stars reported by the source. Last updated 5/31/2026.

No verified compatibility signals1.3K GitHub stars

Trust score

Unknown

Compatibility

OpenClaw

Freshness

May 31, 2026

Vendor

Strnad

Artifacts

0

Benchmarks

0

Last release

Unpublished

Install & run

Setup Snapshot

git clone https://github.com/strnad/CrewAI-Studio.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 & Timeline

Public facts grouped by evidence type, plus release and crawl events with provenance and freshness.

Verifiededitorial-content

Public facts

Evidence Ledger

Vendor (1)

Vendor

Strnad

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

Protocol compatibility

OpenClaw

contractmedium
Observed May 31, 2026Source linkProvenance
Adoption (1)

Adoption signal

1.3K GitHub stars

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

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance

Events

Release & Crawl Timeline

Artifacts & Docs

Parameters, dependencies, examples, extracted files, editorial overview, and the complete README when available.

Self-declaredGITHUB OPENCLEW

Captured outputs

Artifacts Archive

Extracted files

0

Examples

6

Snippets

0

Languages

python

Executable Examples

bash

git clone https://github.com/strnad/CrewAI-Studio.git
   cd CrewAI-Studio

bash

./install_venv.sh

bash

./run_venv.sh

powershell

git clone https://github.com/strnad/CrewAI-Studio.git
   cd CrewAI-Studio

powershell

./install_venv.bat

powershell

./run_venv.bat

Editorial read

Docs & README

Docs source

GITHUB OPENCLEW

Editorial quality

ready

A user-friendly, multi-platform GUI for managing and running CrewAI agents and tasks. Supports Conda and virtual environments, no coding needed. CrewAI Studio Welcome to CrewAI Studio! This application provides a user-friendly interface written in Streamlit for interacting with CrewAI, suitable even for those who don't want to write any code. Follow the steps below to install and run the application using Docker/docker-compose or Conda/venv. Features - **Multi-platform support**: Works on Windows, Linux and MacOS. - **No coding required**: User-friendly inter

Full README

CrewAI Studio

Welcome to CrewAI Studio! This application provides a user-friendly interface written in Streamlit for interacting with CrewAI, suitable even for those who don't want to write any code. Follow the steps below to install and run the application using Docker/docker-compose or Conda/venv.

Features

  • Multi-platform support: Works on Windows, Linux and MacOS.
  • No coding required: User-friendly interface for interacting with CrewAI.
  • Conda and virtual environment support: Choose between Conda and a Python virtual environment for installation.
  • Results history: You can view previous results.
  • Knowledge sources: You can add knowledge sources for your crews
  • CrewAI tools You can use crewai tools to interact with real world. ~~Crewai studio uses a forked version of crewai-tools with some bugfixes and enhancements (https://github.com/strnad/crewAI-tools)~~ (bugfixes already merged to crewai-tools)
  • Custom Tools Custom tools for calling APIs, writing files, enhanced code interpreter, enhanced web scraper... More will be added soon
  • LLM providers supported: Currently OpenAI, Groq, Anthropic, ollama, Grok and LM Studio backends are supported. OpenAI key is probably still needed for embeddings in many tools. Don't forget to load an embedding model when using LM Studio.
  • Single Page app export: Feature to export crew as simple single page streamlit app.
  • Threaded crew run: Crews can run in background and can be stopped.

Support CrewAI Studio

Your support helps fund the development and growth of our project. Every contribution is greatly appreciated!

Donate with Bitcoin

bc1qgsn45g02wran4lph5gsyqtk0k7t98zsg6qur0y

Sponsor via GitHub

Sponsor on GitHub

Screenshots

<img src="https://raw.githubusercontent.com/strnad/CrewAI-Studio/main/img/ss1.png" alt="crews definition" style="width:50%;"/><img src="https://raw.githubusercontent.com/strnad/CrewAI-Studio/main/img/ss2.png" alt="kickoff" style="width:50%;"/> <img src="https://raw.githubusercontent.com/strnad/CrewAI-Studio/main/img/ss3.png" alt="kickoff" style="width:50%;"/><img src="https://raw.githubusercontent.com/strnad/CrewAI-Studio/main/img/ss4.png" alt="kickoff" style="width:50%;"/> <img src="https://raw.githubusercontent.com/strnad/CrewAI-Studio/main/img/ss5.png" alt="kickoff" style="width:50%;"/><img src="https://raw.githubusercontent.com/strnad/CrewAI-Studio/main/img/ss6.png" alt="kickoff" style="width:50%;"/>

Installation

Using Virtual Environment

For Virtual Environment: Ensure you have Python installed. If you dont have python instaled, you can simply use the conda installer.

On Linux or MacOS

  1. Clone the repository (or use downloaded ZIP file):

    git clone https://github.com/strnad/CrewAI-Studio.git
    cd CrewAI-Studio
    
  2. Run the installation script:

    ./install_venv.sh
    
  3. Run the application:

    ./run_venv.sh
    

On Windows

  1. Clone the repository (or use downloaded ZIP file):

    git clone https://github.com/strnad/CrewAI-Studio.git
    cd CrewAI-Studio
    
  2. Run the Conda installation script:

    ./install_venv.bat
    
  3. Run the application:

    ./run_venv.bat
    

Using Conda

Conda will be installed locally in the project folder. No need for a pre-existing Conda installation.

On Linux

  1. Clone the repository (or use downloaded ZIP file):

    git clone https://github.com/strnad/CrewAI-Studio.git
    cd CrewAI-Studio
    
  2. Run the Conda installation script:

    ./install_conda.sh
    
  3. Run the application:

    ./run_conda.sh
    

On Windows

  1. Clone the repository (or use downloaded ZIP file):

    git clone https://github.com/strnad/CrewAI-Studio.git
    cd CrewAI-Studio
    
  2. Run the Conda installation script:

    ./install_conda.bat
    
  3. Run the application:

    ./run_conda.bat
    

One-Click Deployment

Deploy to RepoCloud

Running with Docker Compose

To quickly set up and run CrewAI-Studio using Docker Compose, follow these steps:

Prerequisites

Steps

  1. Clone the repository:
git clone https://github.com/strnad/CrewAI-Studio.git
cd CrewAI-Studio
  1. Create a .env file for configuration. Edit for your own configuration:
cp .env_example .env
  1. Start the application with Docker Compose:
docker-compose up --build
  1. Access the application: http://localhost:8501

Configuration

Before running the application, ensure you update the .env file with your API keys and other necessary configurations. An example .env file is provided for reference.

Troubleshooting

In case of problems:

  • Delete the venv/miniconda folder and reinstall crewai-studio.
  • Rename crewai.db (it contains your crews but sometimes new versions can break compatibility).
  • Raise an issue and I will help you.

Video tutorial

Video tutorial on CrewAI Studio made by Josh Poco

FREE CrewAI Studio GUI EASY AI Agent Creation!🤖 Open Source AI Agent Orchestration Self Hosted

Star History

<a href="https://star-history.com/#strnad/CrewAI-Studio&Date"> <picture> <source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=strnad/CrewAI-Studio&type=Date&theme=dark" /> <source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=strnad/CrewAI-Studio&type=Date" /> <img alt="Star History Chart" src="https://api.star-history.com/svg?repos=strnad/CrewAI-Studio&type=Date" /> </picture> </a>

API & Reliability

Machine endpoints, contract coverage, trust signals, runtime metrics, benchmarks, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Machine interfaces

Contract & API

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-strnad-crewai-studio/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-strnad-crewai-studio/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-strnad-crewai-studio/trust"

Operational fit

Reliability & Benchmarks

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.

Machine Appendix

Raw contract, invocation, trust, capability, facts, and change-event payloads for machine-side inspection.

MissingGITHUB OPENCLEW

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-strnad-crewai-studio/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-strnad-crewai-studio/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-strnad-crewai-studio/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-strnad-crewai-studio/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-strnad-crewai-studio/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-strnad-crewai-studio/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-10-08T22:19:33.643Z"
    }
  },
  "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": "Strnad",
    "category": "vendor",
    "href": "https://github.com/strnad/CrewAI-Studio",
    "sourceUrl": "https://github.com/strnad/CrewAI-Studio",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-05-31T06:18:45.487Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "protocols",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "category": "compatibility",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-strnad-crewai-studio/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-strnad-crewai-studio/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-05-31T06:18:45.487Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "traction",
    "label": "Adoption signal",
    "value": "1.3K GitHub stars",
    "category": "adoption",
    "href": "https://github.com/strnad/CrewAI-Studio",
    "sourceUrl": "https://github.com/strnad/CrewAI-Studio",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-05-31T06:18:45.487Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "handshake_status",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "category": "security",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-strnad-crewai-studio/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-strnad-crewai-studio/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true,
    "metadata": {}
  }
]

Change Events JSON

[]

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Ads related to CrewAI-Studio and adjacent AI workflows.