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It includes both minimal setups and advanced interactive applications that demonstrate real-world agent use cases like memory handling, voice interaction, and local LLM inference.\n\n \n---\n\n## 🔧 Tech Stack\n\n| Feature             | Library/Tool                   |\n| ------------------- | ------------------------------ |\n| LLM Inference       | [Ollama](https://ollama.com)   |\n| Language Agent APIs | LangChain, LangChain Community |\n| Web UI              | Streamlit                      |\n| Voice I/O           | SpeechRecognition, pyttsx3     |\n| Parsing \u0026 Memory    | FAISS, LangChain Memory        |\n\n---\n\n## 🎓 Projects Overview\n\n### 1. `basic_ai_agent/` – Basic LLM Agent\n\nMinimal examples to:\n\n* Load local LLMs (like `phi`, `mistral`, etc.) via Ollama\n* Run single-turn and memory-supported agents\n* Try a web UI version with Streamlit\n\n### 2. `pdf_summary_bot/` – PDF QA Agent\n\nAsk questions or summarize based on uploaded PDF content:\n\n* `app_basic_qa.py`: Basic question answering\n* `app_summary_qa.py`: Summary-focused version\n\n### 3. `voice_assistant/` – Voice-Based LLM Chat\n\nTalk to your LLM with:\n\n* A terminal-based CLI voice chat\n* A full Streamlit-based voice chat UI\n\n### 4. `web_scraper_agent/` – Web Scraping AI Agent\n\nGive queries like \"Find top Python tutorials\" and get results scraped live:\n\n* `ai_web_scraper.py`: Basic tool-based agent\n* `ai_web_scrapper_faiss.py`: Uses memory and FAISS for smarter recall\n\n---\n\n## ⚡ Getting Started\n\n1. **Clone this repo**\n\n   ```bash\n   git clone https://github.com/mscbuild/ai-local-agents.git\n   cd ai-local-agents\n   ```\n\n2. **Install Dependencies**\n\n   ```bash\n   pip install -r requirements.txt\n   ```\n\n3. **Make sure Ollama is running**\n\n   ```bash\n   ollama run phi\n   ```\n\n4. **Run a project**\n\n   ```bash\n   cd voice_assistant\n   python ai_voice_assistant_and_streamlit_app.py\n   # OR\n   streamlit run streamlit_app.py\n   ```\n\n---\n\n## 📜 Requirements\n\nEach folder includes its own `requirements.txt`, but a master file is available at root if you want to install everything together.\n\n* Python 3.9+\n* Ollama running locally with a model like `phi`, `mistral`, or `llama2`\n* Microphone + speaker (for voice apps)\n\n---\n\n## ✨ Credits\n\n* [LangChain](https://www.langchain.com/) for the powerful agent ecosystem\n* [Ollama](https://ollama.com) for local, private LLM serving\n* [Streamlit](https://streamlit.io) for interactive UIs\n\n---\n\n## 📚 License\n\nThis repo is for educational purposes. MIT License. Feel free to fork, use, and modify with attribution.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmscbuild%2Fai-local-agents","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmscbuild%2Fai-local-agents","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmscbuild%2Fai-local-agents/lists"}