{"id":14070159,"url":"https://github.com/Eng-Elias/CrewAI-Visualizer","last_synced_at":"2025-07-30T07:30:40.119Z","repository":{"id":222185500,"uuid":"755934919","full_name":"Eng-Elias/CrewAI-Visualizer","owner":"Eng-Elias","description":"Interactive user interface for CrewAI package.","archived":false,"fork":false,"pushed_at":"2024-03-25T20:04:04.000Z","size":356,"stargazers_count":249,"open_issues_count":10,"forks_count":61,"subscribers_count":16,"default_branch":"main","last_synced_at":"2024-08-13T07:17:07.092Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"TypeScript","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Eng-Elias.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-02-11T14:25:25.000Z","updated_at":"2024-08-12T18:10:13.000Z","dependencies_parsed_at":"2024-08-13T07:16:30.109Z","dependency_job_id":"c95ee88e-9642-47a2-959b-e22828fb7640","html_url":"https://github.com/Eng-Elias/CrewAI-Visualizer","commit_stats":null,"previous_names":["eng-elias/crewai-visualizer"],"tags_count":2,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Eng-Elias%2FCrewAI-Visualizer","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Eng-Elias%2FCrewAI-Visualizer/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Eng-Elias%2FCrewAI-Visualizer/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Eng-Elias%2FCrewAI-Visualizer/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Eng-Elias","download_url":"https://codeload.github.com/Eng-Elias/CrewAI-Visualizer/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":228102568,"owners_count":17869882,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-08-13T07:07:31.226Z","updated_at":"2024-12-04T11:31:23.625Z","avatar_url":"https://github.com/Eng-Elias.png","language":"TypeScript","readme":"# CrewAI Simplified App\n\nThis application provides a simplified user interface for leveraging the power of CrewAI, a cutting-edge framework for orchestrating role-playing autonomous AI agents. With this app, users can streamline the process of creating and managing AI crews without the need for coding.\n\n\u003ch3\u003eV0.1\u003c/h3\u003e\n\n[![CrewAI Visualizer](https://img.youtube.com/vi/ZVZucnzccpk/0.jpg)](https://www.youtube.com/watch?v=ZVZucnzccpk)\n\n\u003ch3\u003eV0.2\u003c/h3\u003e\n\n[![CrewAI Visualizer](https://img.youtube.com/vi/IpGmL_EM_bY/0.jpg)](https://www.youtube.com/watch?v=IpGmL_EM_bY)\n\n## Features\n\n- **Intuitive UI**: The app offers a user-friendly interface, allowing users to easily create and manage AI crews.\n- **Role-Based Agent Design**: Customize agents with specific roles, goals, and tools through a simple form-based approach.\n- **Task Management**: Define tasks and assign them to agents dynamically.\n- **Sequential and Hierarchical Processes**: Choose between sequential or hierarchical processes for task execution, depending on your workflow needs.\n- **Save Output**: Save the output for future reference or analysis.\n- **Connection to LLM model**: for this version I used Gemini model and I plan to add more models in the future.\n\n## Getting Started\n\nTo get started with the CrewAI Simplified App, install [PostgreSQL](https://www.postgresql.org/download/), setup PostgreSQL user and password and follow these simple steps:\n\nFor non-developers:\n\n1. **Setup the project**: clone or download the project then run `setup_win.bat` for Windows users or `setup_linux_mac.sh` for Linux or MacOS users.\n\n2. **Start the project**: run `start_win.bat` for Windows users or `start_linux_mac.sh` for Linux or MacOS users. ✔Finish!\n\nFor developers:\n\n1. **Installation**: Clone the repository and install dependencies using npm or yarn:\n\n   ```bash\n   git clone https://github.com/Eng-Elias/CrewAI-Visualizer.git\n   cd CrewAI-Visualizer\n   npm install\n   ```\n\n2. **Create Python Virtual Enviroment**: create Python venv, activate the venv and install the requirements.\n\n   Create venv:\n\n   ```bash\n   python -m venv venv\n   ```\n\n   To activate the virtual environment on Windows:\n\n   ```bash\n   .\\venv\\Scripts\\activate\n   ```\n\n   To activate the virtual environment on Linux or Mac:\n\n   ```bash\n   source venv/bin/activate\n   ```\n\n   Install the requirements:\n\n   ```bash\n   pip install -r requirements.txt\n   ```\n\n3. **Configuration**: Set up your environment variables in a `.env` file:\n\n   Just rename .env.template to .env and set your values:\n\n   ```plaintext\n   DATABASE_URL=\"postgresql://\u003cuser\u003e:\u003cpassword\u003e@localhost:5432/crew_ai_visualizer?schema=public\"\n\n   GEMINI_API_KEY=\"\"\n\n   PYTHON_SITE_PACKAGES=\"\u003cThe  path of site packages folder in the venv you created in the previous step\u003e\"\n\n   CREW_AI_PY_FILE=\"\u003cthe path of my crew_ai.py file in on your system. you can find it in src/app/api/graphql/crew_ai.py\u003e\"\n   ```\n\n4. **DB Migrations**: Run the following commands to apply database migrations:\n\n   ```bash\n   npx prisma generate\n   npx prisma migrate deploy\n   ```\n\n5. **Start the Development Server**: Run the following command to start the development server:\n\n   ```bash\n   npm run dev\n   ```\n\n6. **Access the App**: Once the development server is running, access the app in your browser at `http://localhost:3000`.\n\n## Usage\n\n1. **Create a New Crew**: By adding agents.\n\n2. **Customize Agents**: Fill in the information for each agent, including role, goal, backstory, tools, allow_deligation, verbose and memory.\n\n3. **Define Missions**: Fill mission information including name, crew, verbose, process and add tasks with their details (name, description, agent, expected_output).\n\n4. **Execute Mission**: Once your mission is set up, run it to start the execution process.\n\n5. **View Results**: View the output of completed missions within the app.\n\n## Contributing\n\nWe welcome contributions to the CrewAI Simplified App. If you'd like to contribute, please follow these steps:\n\n1. Fork the repository.\n2. Create a new branch for your feature or improvement.\n3. Add your feature or improvement.\n4. Submit a pull request.\n\n## Tech Stack\n\nThis app is built using TypeScript, Prisma, GraphQL, Next.js, and node-calls-python to execute Python code from Node.js and get the result in addition to use Gemini as LLM.\n\n## Updates\n\n### Version 0.1\n\n- Initial version.\n\n### Version 0.2\n\n- Features:\n  - Update crewai package and add more fields to agents and tasks.\n  - Add more tools:\n    - ARXIV to search in scientific articles of many domains.\n    - PubMed to answer questions about medicine, health, and biomedical topic.\n- Improvement:\n  - Update python and npm packages.\n  - Some UI enhancements.\n  - Add .bat and .sh files to setup and start the project easily for normal users.\n  - Enhance README.md.\n\n## To Do\n\n- [ ] Build simpler version to simplify installing and using CrewAI Visualizer by normal users.\n- [ ] Integrate [crewai[tools]](https://docs.crewai.com/core-concepts/Tools/) by adding tools settings to allow configuring API keys and uploading files.\n- [ ] Add more tools for agents either from LangChain community or create new useful tools.\n- [ ] Add more LLM options like ChatGPT and local LLMs.\n\n## License\n\nThis application is open-source and is released under the MIT License. See the [LICENSE](LICENSE) file for details.\n\n## Credits\n\nSpecial thanks to [João Moura](https://github.com/joaomdmoura) the creator of [CrewAI](https://github.com/joaomdmoura/crewAI) for providing the underlying framework for AI crew orchestration.\n\n## Support\n\nIf you find CrewAI Visualizer helpful and would like to support its development, consider buying me a coffee! Your support will allow me to dedicate more time to enhancing and adding new features to CrewAI Visualizer.\n\n[https://www.buymeacoffee.com/eng_elias](https://www.buymeacoffee.com/eng_elias)\n\n[![Buy Me a Coffee](https://media.giphy.com/media/v1.Y2lkPTc5MGI3NjExeW41NXV3ZXYxY2pvOG5lcjJueDF3NDFlcWNneDJ4MW9kY25jbWhzeiZlcD12MV9pbnRlcm5hbF9naWZfYnlfaWQmY3Q9cw/7kZE0z52Sd9zSESzDA/giphy.gif)](https://www.buymeacoffee.com/eng_elias)\n","funding_links":["https://www.buymeacoffee.com/eng_elias"],"categories":["TypeScript"],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FEng-Elias%2FCrewAI-Visualizer","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FEng-Elias%2FCrewAI-Visualizer","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FEng-Elias%2FCrewAI-Visualizer/lists"}