{"data":{"slug":"arindam200-awesome-ai-apps","name":"awesome-ai-apps","tagline":"A curated list of AI applications showcasing RAG, agents, and workflows.","github_url":"https://github.com/Arindam200/awesome-ai-apps","owner":"Arindam200","repo":"awesome-ai-apps","owner_avatar_url":"https://avatars.githubusercontent.com/u/109217591?v=4","primary_language":"Python","stars":13494,"forks":1760,"topics":["agents","ai","hacktoberfest","llm","mcp"],"archived":false,"github_pushed_at":"2026-08-19T05:04:11+00:00","maintenance_label":"Very active","stars_delta_30d":226,"url":"https://www.graphcanon.com/tools/arindam200-awesome-ai-apps","markdown_url":"https://www.graphcanon.com/tools/arindam200-awesome-ai-apps.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/arindam200-awesome-ai-apps","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=arindam200-awesome-ai-apps","description":"A collection of projects showcasing RAG, agents, workflows, and other AI use cases","homepage_url":"https://dub.sh/nebius","license":"MIT","open_issues":65,"watchers":108,"ai_summary":"This repository compiles projects that demonstrate various AI use cases including Retrieval-Augmented Generation (RAG) technologies, AI agents, and workflows. The inclusion of topics such as llm points to a focus on large language models in the context of these applications.","readme_excerpt":"### Quick Start\n\n1. **Clone the repository**\n\n   ```bash\n   git clone https://github.com/Arindam200/awesome-ai-apps.git\n   cd awesome-ai-apps\n   ```\n\n2. **Choose a project** and navigate to its directory\n\n   ```bash\n   cd starter_ai_agents/agno_starter  # Example: Start with Agno starter\n   ```\n\n3. **Set up environment variables**\n\n   ```bash\n   cp .env.example .env  # Copy example environment file\n   # Edit .env with your API keys\n   ```\n\n4. **Install dependencies**\n\n   ```bash\n   # Using pip\n   pip install -r requirements.txt\n\n   # OR using uv (recommended - faster)\n   uv sync\n   # or\n   uv pip install -e .\n   ```\n\n5. **Run the project**\n\n   ```bash\n   python main.py\n   # or for Streamlit apps\n   streamlit run app.py\n   ```\n\n---\n\n## 📜 License\n\nThis repository is licensed under the [MIT License](./LICENSE). Feel free to use and modify the examples for your projects.","github_created_at":"2025-02-16T13:57:00+00:00","created_at":"2026-07-11T11:49:09.595888+00:00","updated_at":"2026-08-26T00:02:26.45834+00:00","categories":[{"slug":"ai-agents","name":"AI Agents","url":"https://www.graphcanon.com/categories/ai-agents","markdown_url":"https://www.graphcanon.com/categories/ai-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/ai-agents"},{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"}],"tags":[{"slug":"agents","name":"agents"},{"slug":"ai","name":"ai"},{"slug":"hacktoberfest","name":"hacktoberfest"},{"slug":"llm","name":"llm"},{"slug":"mcp","name":"mcp"}],"trust":{"provenance":{"is_fork":false,"github_id":933701586,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-26T00:02:25.728Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":0,"days_since_push":6,"last_release_at":null,"stars_delta_30d":226,"open_issues_delta_30d":-24},"security_summary":{"status":"no_manifest","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T11:49:10.741Z","medium_count":0,"scan_profile":"mcp_manifest","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-26T00:02:26.177Z"},"languages":{"value":["python"],"source":"github.language","observed_at":"2026-08-26T00:02:26.177Z"},"license_spdx":{"value":"MIT","source":"github.license","observed_at":"2026-08-26T00:02:26.177Z"}},"decision_facts":{"hosting":null,"pricing":{"model":"freemium","summary":"As an open-source project under the MIT License, awesome-ai-apps is free to use. There are no paid plans beyond potential third-party service integrations or support contracts."},"requirements":{"notes":["Requires understanding of Python and familiarity with large language models and RAG technologies to benefit fully from the projects listed."],"min_ram_gb":null,"requires_docker":false},"constraints":{"min_ram_gb":null,"pricing_model":"freemium","requires_docker":false},"when_to_use":["Use awesome-ai-apps when looking to explore or implement Retrieval-Augmented Generation (RAG) in Python projects focused on enhancing search-based question answering.","Choose it for integrating AI agents into custom applications that leverage large language models for more dynamic and interactive user experiences."],"when_not_to_use":["Avoid awesome-ai-apps if your project requires non-Python support, as all the included applications are built using Python.","Do not use this repository if your focus is on backend-only AI services that do not involve RAG technologies or AI agents."],"source":"enrich:decision_facts","observed_at":"2026-07-17T12:45:18.119Z"},"constraint_facets":{"min_ram_gb":null,"pricing_model":"freemium","requires_docker":false},"decision_summary":[{"label":"Pricing","value":"freemium - As an open-source project under the MIT License, awesome-ai-apps is free to use. There are no paid plans beyond potential third-party service integrations or support contracts."},{"label":"Requirements","value":"Requires understanding of Python and familiarity with large language models and RAG technologies to benefit fully from the projects listed."},{"label":"Adopt for","value":"awesome-ai-apps is a curated list of projects focusing on AI applications and innovations such as RAG technologies, AI agents, and workflows, emphasizing large language models using Python."},{"label":"License detail","value":"MIT License ensures easy integration into both open source and proprietary projects without restrictions."}]}}