{"id":"9c178a3f-570b-4680-836d-b3e913592797","entityType":"agent","slug":"crewai-strnad-crewai-studio","name":"CrewAI-Studio","canonicalUrl":"https://www.xpersona.co/agent/crewai-strnad-crewai-studio","canonicalPath":"/agent/crewai-strnad-crewai-studio","generatedAt":"2026-10-09T00:17:13.874Z","source":"GITHUB_OPENCLEW","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-05-31T06:18:45.487Z","emptyReason":null},"description":"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","descriptionLabel":"Technical summary","evidenceSummary":"Capability contract not published. No trust telemetry is available yet. 1.3K GitHub stars reported by the source. Last updated 5/31/2026.","installCommand":"git clone https://github.com/strnad/CrewAI-Studio.git","sourceUrl":"https://github.com/strnad/CrewAI-Studio","homepage":null,"primaryLinks":[{"label":"View Source","url":"https://github.com/strnad/CrewAI-Studio","kind":"source"}],"safetyScore":75,"overallRank":39,"popularityScore":78,"trustScore":null,"claimedByName":null,"isOwner":false,"seoDescription":"A user-friendly, multi-platform GUI for managing and running CrewAI agents and tasks. Supports Conda and virtual environments, no coding needed. CrewAI Studio W"},"coverage":{"evidence":{"source":"public-profile","verified":false,"confidence":"medium","updatedAt":"2026-05-31T06:18:45.487Z","emptyReason":null},"protocols":[{"protocol":"OPENCLEW","label":"OpenClaw","status":"self-declared","notes":"Declared in the public agent profile."}],"capabilities":[{"label":"crewai","status":"self-declared"},{"label":"multi-agent","status":"self-declared"}],"verifiedCount":0,"selfDeclaredCount":3,"capabilityMatrix":{"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"}},"adoption":{"evidence":{"source":"GITHUB OPENCLEW","verified":false,"confidence":"medium","updatedAt":"2026-05-31T06:18:45.487Z","emptyReason":null},"stars":1281,"forks":311,"downloads":null,"packageName":null,"latestVersion":null,"tractionLabel":"1.3K GitHub stars"},"release":{"evidence":{"source":"agent-index","verified":false,"confidence":"medium","updatedAt":"2026-05-31T06:18:45.487Z","emptyReason":null},"lastUpdatedAt":"2026-05-31T06:18:45.487Z","lastCrawledAt":"2026-05-31T06:18:45.487Z","lastIndexedAt":null,"nextCrawlAt":"2026-06-07T06:18:45.487Z","lastVerifiedAt":null,"highlights":[]},"execution":{"evidence":{"source":"GITHUB OPENCLEW","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No published capability contract is available yet."},"installCommand":"git clone https://github.com/strnad/CrewAI-Studio.git","setupComplexity":"low","setupSteps":["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."],"contract":{"contractStatus":"missing","authModes":[],"requires":[],"forbidden":[],"supportsMcp":false,"supportsA2a":false,"supportsStreaming":false,"inputSchemaRef":null,"outputSchemaRef":null,"dataRegion":null,"contractUpdatedAt":null,"sourceUpdatedAt":null,"freshnessSeconds":null},"invocationGuide":{"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":"2026-10-09T00:17:13.874Z"}},"retryPolicy":{"maxAttempts":3,"backoffMs":[500,1500,3500],"retryableConditions":["HTTP_429","HTTP_503","NETWORK_TIMEOUT"]}},"endpoints":{"dossierUrl":"https://www.xpersona.co/api/v1/agents/crewai-strnad-crewai-studio/dossier","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"}},"reliability":{"evidence":{"source":"runtime-metrics","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No trust, reliability, or runtime telemetry is available."},"trust":{"status":"unavailable","handshakeStatus":"UNKNOWN","verificationFreshnessHours":null,"reputationScore":null,"p95LatencyMs":null,"successRate30d":null,"fallbackRate":null,"attempts30d":null,"trustUpdatedAt":null,"trustConfidence":"unknown","sourceUpdatedAt":null,"freshnessSeconds":null},"decisionGuardrails":{"doNotUseIf":["Contract metadata is missing or unavailable for deterministic execution."],"safeUseWhen":[],"riskFlags":["missing_or_unavailable_contract","trust_data_unavailable","schema_references_missing"],"operationalConfidence":"low"},"executionMetrics":{"observedLatencyMsP50":null,"observedLatencyMsP95":null,"estimatedCostUsd":null,"uptime30d":null,"rateLimitRpm":null,"rateLimitBurst":null,"lastVerifiedAt":null,"verificationSource":null},"runtimeMetrics":{"successRate":null,"avgLatencyMs":null,"avgCostUsd":null,"hallucinationRate":null,"retryRate":null,"disputeRate":null,"p50Latency":null,"p95Latency":null,"lastUpdated":null}},"benchmarks":{"evidence":{"source":"no-benchmark-data","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No benchmark suites or observed failure patterns are available."},"suites":[],"failurePatterns":[]},"artifacts":{"evidence":{"source":"GITHUB OPENCLEW","verified":false,"confidence":"high","updatedAt":"2026-05-31T06:18:45.487Z","emptyReason":null},"readme":"# CrewAI Studio\n\nWelcome 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.\n\n## Features\n\n- **Multi-platform support**: Works on Windows, Linux and MacOS.\n- **No coding required**: User-friendly interface for interacting with CrewAI.\n- **Conda and virtual environment support**: Choose between Conda and a Python virtual environment for installation.\n- **Results history**: You can view previous results.\n- **Knowledge sources**: You can add knowledge sources for your crews\n- **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)\n- **Custom Tools** Custom tools for calling APIs, writing files, enhanced code interpreter, enhanced web scraper... More will be added soon\n- **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.\n- **Single Page app export**: Feature to export crew as simple single page streamlit app.\n- **Threaded crew run**: Crews can run in background and can be stopped.\n\n## Support CrewAI Studio\n\nYour support helps fund the development and growth of our project. Every contribution is greatly appreciated!\n\n### Donate with Bitcoin\nbc1qgsn45g02wran4lph5gsyqtk0k7t98zsg6qur0y\n\n### Sponsor via GitHub\n[](https://github.com/sponsors/strnad)\n\n\n## Screenshots\n\n\n\n\n\n## Installation\n\n### Using Virtual Environment\n\n**For Virtual Environment**: Ensure you have Python installed. If you dont have python instaled, you can simply use the conda installer.\n\n#### On Linux or MacOS\n\n1. **Clone the repository (or use downloaded ZIP file)**:\n\n ```bash\n git clone https://github.com/strnad/CrewAI-Studio.git\n cd CrewAI-Studio\n ```\n\n2. **Run the installation script**:\n\n ```bash\n ./install_venv.sh\n ```\n\n3. **Run the application**:\n ```bash\n ./run_venv.sh\n ```\n\n#### On Windows\n\n1. **Clone the repository (or use downloaded ZIP file)**:\n\n ```powershell\n git clone https://github.com/strnad/CrewAI-Studio.git\n cd CrewAI-Studio\n ```\n\n2. **Run the Conda installation script**:\n\n ```powershell\n ./install_venv.bat\n ```\n\n3. **Run the application**:\n ```powershell\n ./run_venv.bat\n ```\n\n### Using Conda\n\nConda will be installed locally in the project folder. No need for a pre-existing Conda installation.\n\n#### On Linux\n\n1. **Clone the repository (or use downloaded ZIP file)**:\n\n ```bash\n git clone https://github.com/strnad/CrewAI-Studio.git\n cd CrewAI-Studio\n ```\n\n2. **Run the Conda installation script**:\n\n ```bash\n ./install_conda.sh\n ```\n\n3. **Run the application**:\n ```bash\n ./run_conda.sh\n ```\n\n#### On Windows\n\n1. **Clone the repository (or use downloaded ZIP file)**:\n\n ```powershell\n git clone https://github.com/strnad/CrewAI-Studio.git\n cd CrewAI-Studio\n ```\n\n2. **Run the Conda installation script**:\n\n ```powershell\n ./install_conda.bat\n ```\n\n3. **Run the application**:\n ```powershell\n ./run_conda.bat\n ```\n\n### One-Click Deployment\n\n[](https://repocloud.io/details/?app_id=318)\n\n## Running with Docker Compose\n\nTo quickly set up and run CrewAI-Studio using Docker Compose, follow these steps:\n\n### Prerequisites\n\n- Ensure [Docker](https://docs.docker.com/get-docker/) and [Docker Compose](https://docs.docker.com/compose/install/) are installed on your system.\n\n### Steps\n\n1. Clone the repository:\n```\ngit clone https://github.com/strnad/CrewAI-Studio.git\ncd CrewAI-Studio\n```\n\n2. Create a .env file for configuration. Edit for your own configuration:\n```\ncp .env_example .env\n```\n\n3. Start the application with Docker Compose:\n```\ndocker-compose up --build\n```\n\n4. Access the application: http://localhost:8501\n\n## Configuration\n\nBefore 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.\n\n## Troubleshooting\nIn case of problems:\n- Delete the `venv/miniconda` folder and reinstall `crewai-studio`.\n- Rename `crewai.db` (it contains your crews but sometimes new versions can break compatibility).\n- Raise an issue and I will help you.\n\n## Video tutorial\nVideo tutorial on CrewAI Studio made by Josh Poco\n\n[](https://www.youtube.com/watch?v=3Uxdggt88pY)\n\n## Star History\n\n\n \n \n \n \n \n\n","readmeExcerpt":"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","codeSnippets":[],"executableExamples":[{"language":"bash","snippet":"git clone https://github.com/strnad/CrewAI-Studio.git\n cd CrewAI-Studio"},{"language":"bash","snippet":"./install_venv.sh"},{"language":"bash","snippet":"./run_venv.sh"},{"language":"powershell","snippet":"git clone https://github.com/strnad/CrewAI-Studio.git\n cd CrewAI-Studio"},{"language":"powershell","snippet":"./install_venv.bat"},{"language":"powershell","snippet":"./run_venv.bat"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[],"languages":["python"],"docsSourceLabel":"GITHUB OPENCLEW","editorialOverview":"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","editorialQuality":{"score":100,"threshold":65,"status":"ready","wordCount":387,"uniquenessScore":67,"reasons":[]}},"media":{"evidence":{"source":"no-media","verified":false,"confidence":"low","updatedAt":"2026-05-31T06:18:45.487Z","emptyReason":"No screenshots, media assets, or demo links are available."},"primaryImageUrl":null,"mediaAssetCount":0,"assets":[],"demoUrl":null},"ownerResources":{"evidence":{"source":"unclaimed","verified":false,"confidence":"low","updatedAt":"2026-05-31T06:18:45.487Z","emptyReason":"This page has not been claimed by the agent owner."},"hasCustomPage":false,"customPageUpdatedAt":null,"customLinks":[],"structuredLinks":{"docsUrl":null,"demoUrl":null,"supportUrl":null,"pricingUrl":null,"statusUrl":null},"customPage":null},"relatedAgents":{"evidence":{"source":"protocol-neighbors","verified":false,"confidence":"medium","updatedAt":"2026-10-09T00:17:13.874Z","emptyReason":null},"items":[{"id":"959108e7-5f7c-45ac-bea0-9ab67f017226","entityType":"agent","canonicalPath":"/agent/langchain-x1pay-langchain","slug":"langchain-x1pay-langchain","name":"@x1pay/langchain","description":"LangChain/LangGraph tools for AI agent x402 payments on X1","url":"https://www.npmjs.com/package/@x1pay/langchain","homepage":null,"source":"GITHUB_OPENCLEW","protocols":["OPENCLAW"],"capabilities":[],"safetyScore":70,"overallRank":65,"updatedAt":"2026-06-01T00:29:07.099Z","createdAt":"2026-05-23T06:52:58.553Z","downloads":null},{"id":"4f8f8f95-34f7-49a9-b516-391d1c355d6c","entityType":"agent","canonicalPath":"/agent/langchain-langchain-langgraph-swarm","slug":"langchain-langchain-langgraph-swarm","name":"@langchain/langgraph-swarm","description":"An implementation of a multi-agent swarm using LangGraph","url":"git+ssh://git@github.com/langchain-ai/langgraphjs.git","homepage":"https://github.com/langchain-ai/langgraphjs#readme","source":"GITHUB_OPENCLEW","protocols":["OPENCLAW"],"capabilities":[],"safetyScore":70,"overallRank":65,"updatedAt":"2026-06-01T00:29:03.792Z","createdAt":"2026-05-23T06:52:55.396Z","downloads":null},{"id":"e36fd59b-38d7-4e73-aa20-c1431a8f7434","entityType":"agent","canonicalPath":"/agent/langchain-langchain-langgraph-supervisor","slug":"langchain-langchain-langgraph-supervisor","name":"@langchain/langgraph-supervisor","description":"LangGraph Multi-Agent Supervisor","url":"git+ssh://git@github.com/langchain-ai/langgraphjs.git","homepage":"https://github.com/langchain-ai/langgraphjs#readme","source":"GITHUB_OPENCLEW","protocols":["OPENCLAW"],"capabilities":[],"safetyScore":70,"overallRank":65,"updatedAt":"2026-06-01T00:29:03.756Z","createdAt":"2026-05-23T06:52:55.353Z","downloads":null},{"id":"d1d0f93e-b722-4791-9bbf-2532470054c2","entityType":"agent","canonicalPath":"/agent/langchain-oceanbus-langchain","slug":"langchain-oceanbus-langchain","name":"oceanbus-langchain","description":"LangChain tools for OceanBus — give your LangChain and CrewAI agents a global identity, encrypted messaging, and Yellow Pages service discovery with a single import.","url":"git+https://github.com/oceanbus/oceanbus.git","homepage":"https://github.com/oceanbus/oceanbus#readme","source":"GITHUB_OPENCLEW","protocols":["OPENCLAW"],"capabilities":["oceanbus","langchain","langchain-tools","agent-to-agent","ai-agent","communication","messaging","e2ee","structured-tool","yellow-pages","service-discovery","reputation","crewai"],"safetyScore":70,"overallRank":65,"updatedAt":"2026-06-01T00:29:02.595Z","createdAt":"2026-05-23T06:52:54.240Z","downloads":null}],"links":{"hub":"/agent","source":"/agent/source/github_openclew","protocols":[{"label":"OpenClaw","href":"/agent/protocol/openclew"}]}}}
![\"crews](\"https://raw.githubusercontent.com/strnad/CrewAI-Studio/main/img/ss1.png\")
![\"kickoff\"](\"https://raw.githubusercontent.com/strnad/CrewAI-Studio/main/img/ss2.png\")
\n![\"kickoff\"](\"https://raw.githubusercontent.com/strnad/CrewAI-Studio/main/img/ss3.png\")
![\"kickoff\"](\"https://raw.githubusercontent.com/strnad/CrewAI-Studio/main/img/ss4.png\")
\n![\"kickoff\"](\"https://raw.githubusercontent.com/strnad/CrewAI-Studio/main/img/ss5.png\")
![\"kickoff\"](\"https://raw.githubusercontent.com/strnad/CrewAI-Studio/main/img/ss6.png\")
\n\n## Installation\n\n### Using Virtual Environment\n\n**For Virtual Environment**: Ensure you have Python installed. If you dont have python instaled, you can simply use the conda installer.\n\n#### On Linux or MacOS\n\n1. **Clone the repository (or use downloaded ZIP file)**:\n\n ```bash\n git clone https://github.com/strnad/CrewAI-Studio.git\n cd CrewAI-Studio\n ```\n\n2. **Run the installation script**:\n\n ```bash\n ./install_venv.sh\n ```\n\n3. **Run the application**:\n ```bash\n ./run_venv.sh\n ```\n\n#### On Windows\n\n1. **Clone the repository (or use downloaded ZIP file)**:\n\n ```powershell\n git clone https://github.com/strnad/CrewAI-Studio.git\n cd CrewAI-Studio\n ```\n\n2. **Run the Conda installation script**:\n\n ```powershell\n ./install_venv.bat\n ```\n\n3. **Run the application**:\n ```powershell\n ./run_venv.bat\n ```\n\n### Using Conda\n\nConda will be installed locally in the project folder. No need for a pre-existing Conda installation.\n\n#### On Linux\n\n1. **Clone the repository (or use downloaded ZIP file)**:\n\n ```bash\n git clone https://github.com/strnad/CrewAI-Studio.git\n cd CrewAI-Studio\n ```\n\n2. **Run the Conda installation script**:\n\n ```bash\n ./install_conda.sh\n ```\n\n3. **Run the application**:\n ```bash\n ./run_conda.sh\n ```\n\n#### On Windows\n\n1. **Clone the repository (or use downloaded ZIP file)**:\n\n ```powershell\n git clone https://github.com/strnad/CrewAI-Studio.git\n cd CrewAI-Studio\n ```\n\n2. **Run the Conda installation script**:\n\n ```powershell\n ./install_conda.bat\n ```\n\n3. **Run the application**:\n ```powershell\n ./run_conda.bat\n ```\n\n### One-Click Deployment\n\n[](https://repocloud.io/details/?app_id=318)\n\n## Running with Docker Compose\n\nTo quickly set up and run CrewAI-Studio using Docker Compose, follow these steps:\n\n### Prerequisites\n\n- Ensure [Docker](https://docs.docker.com/get-docker/) and [Docker Compose](https://docs.docker.com/compose/install/) are installed on your system.\n\n### Steps\n\n1. Clone the repository:\n```\ngit clone https://github.com/strnad/CrewAI-Studio.git\ncd CrewAI-Studio\n```\n\n2. Create a .env file for configuration. Edit for your own configuration:\n```\ncp .env_example .env\n```\n\n3. Start the application with Docker Compose:\n```\ndocker-compose up --build\n```\n\n4. Access the application: http://localhost:8501\n\n## Configuration\n\nBefore 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.\n\n## Troubleshooting\nIn case of problems:\n- Delete the `venv/miniconda` folder and reinstall `crewai-studio`.\n- Rename `crewai.db` (it contains your crews but sometimes new versions can break compatibility).\n- Raise an issue and I will help you.\n\n## Video tutorial\nVideo tutorial on CrewAI Studio made by Josh Poco\n\n[](https://www.youtube.com/watch?v=3Uxdggt88pY)\n\n## Star History\n\n\n