#python #agents #llm #rag #skills #video_analytics #video_search #vlm

NVIDIA's Video Search and Summarization blueprint lets you build AI agents for fast video analysis, including real-time intelligence, alerts, natural language search, Q&A, and long-video summaries using vision models and NIM microservices. Deploy easily via Docker or cloud notebooks on supported NVIDIA hardware. This saves you time analyzing huge video volumes for smart monitoring, warehouses, or operations, boosting decisions and efficiency with ready workflows and custom options.

https://github.com/NVIDIA-AI-Blueprints/video-search-and-summarization

#python #ai_agents #amd #comfyui #docker #llama_cpp #llm #local_ai #n8n #nvidia #open_webui #rag #self_hosted #speech_to_text #strix_halo #text_to_speech #workflow_automation

Dream Server lets you run AI on your own machine instead of renting it from a cloud service. It works on Linux, Windows, and macOS, and it can set up chat, voice, agents, search, image tools, and privacy tools with one command. The main benefit is more control: your data stays with you, costs can be lower, and you can keep using AI even without a cloud account.

https://github.com/Light-Heart-Labs/DreamServer

#python #agent #ai #anthropic #claude_code #compression #context_engineering #context_window #cursor #fastapi #langchain #llm #mcp #openai #prompt_engineering #proxy #python #rag #token_optimization #tokens #typescript

Headroom is a local tool for AI agents that shrinks prompts, logs, files, and chat history before sending them to an LLM, often cutting tokens by 60–95% while keeping the same answer quality. It can work as a library, proxy, MCP server, or agent wrapper, so you can save tokens, speed up workflows, and still recover the original content when needed.

https://github.com/chopratejas/headroom

#python #ann #avx512 #embedding #embeddings #faiss #nearest_neighbor #neon #python #quant #quantization #rag #rust #simd #turboquant #vector_search

turbovec is a fast, local vector search tool that stores large embedding sets in much less memory, can search faster than FAISS in many cases, and works with Python and Rust. It helps you build private RAG systems because data stays on your machine, while online adding, filtering, and stable IDs make it easier to grow, control, and update your index without retraining or rebuilding.

https://github.com/RyanCodrai/turbovec

#typescript #ai #ai_agents #ai_memory #anthropic #artificial_intelligence #claude #claude_agent_sdk #claude_agents #claude_code_plugin #claude_skills #codex #embeddings #long_term_memory #memory_engine #openclaw #openclaw_skills #postgres #rag

Hivemind is a shared memory system for coding agents that saves prompts, tool calls, and replies, then turns repeated patterns into reusable skills for the whole team. It can make agents faster and cheaper, improve recall, and help you search past work, reuse solutions, and keep team rules and goals in one place.

https://github.com/activeloopai/hivemind

#python #ai #ai_agents #cli #hypergraph #information_extraction #knowledge #knowledge_graph #llm #python #rag

Hyper-Extract is a tool that uses AI to turn messy documents into clean, structured knowledge like lists, graphs, and linked data with one command. It gives you fast search, easy visual reports, and ready-made templates, so you can save time, understand information faster, and keep adding new documents without rebuilding everything.

https://github.com/yifanfeng97/Hyper-Extract

#python #antigravity #claude_code #codex #gemini #graphrag #knowledge_graph #leiden #openclaw #rag #skills #tree_sitter

Graphify is an AI tool that maps your entire project—code, docs, PDFs, images, and videos—into a searchable knowledge graph instead of forcing you to grep through files. You simply type `/graphify .` in your AI coding assistant (like Cursor, Claude, or Copilot) to get three outputs: an interactive HTML map, a report with key concepts and surprising connections, and a JSON file for instant queries. The main benefit to you is that you can instantly ask complex questions like "what connects auth to the database?" and get precise answers from the graph, saving hours of manual file searching and helping you understand your project's architecture faster.

https://github.com/safishamsi/graphify

#typescript #agent #ai #ai_agent #claude #cli #developer_tools #local_first #mcp #mcp_server #metasearch #model_context_protocol #nodejs #privacy #rag #search #search_engine #typescript #web_crawler #web_scraping #web_search

wigolo is a free, local-first tool that gives your AI agent web search, crawling, fetching, and research capabilities without needing API keys, cloud services, or paying per-query bills . It runs on your machine as an MCP server, keeping all data private and stored locally . The benefit to you is zero cost per query and full privacy, while still delivering web intelligence quality that rivals paid services . You can set it up with one command and immediately use powerful tools like autonomous research and page monitoring without worrying about metered costs .

https://github.com/KnockOutEZ/wigolo

#python #agent #agent_memory #ai_agent #book #coding_agent #context_engineering #large_language_models #llm #mcp #multi_agent #multimodal #rag #reinforcement_learning

This free open-source book and code library teaches you how to build AI Agents using the simple formula: Agent = Model + Context + Tools. You get the full book in English, Chinese, and Tamil, plus ready-to-run code examples for every chapter. The benefit is that you can learn by doing instead of just reading, letting you build real AI agents that search the web, write code, remember users, and work with other agents to solve complex tasks.

https://github.com/bojieli/ai-agent-book

#python #ai #ast #claude_code #code_analysis #code_understanding #codebase_search #developer_tools #graph_database #knowledge_graph #llm #mcp #mcp_server #memgraph #monorepo #multi_language #python #rag #retrieval_augmented_generation #semantic_search #tree_sitter

Code-Graph-RAG is an open-source tool that reads a codebase, builds a graph of functions, classes, modules, and links, and lets you ask questions, find code, edit safely, and improve code in plain English. It supports many languages and can run as an MCP server for direct use with AI tools. Benefit: you can understand and change large mixed-language projects faster, with less manual searching and fewer mistakes.

https://github.com/vitali87/code-graph-rag

#css #agent #claude #gpt_image_2 #rag #skills #web_design

This project gives you ready-made AI skills for making web presentations, better web designs, image prompts, local knowledge search, and polished articles. You can install them in several ways, including a simple command, plugins, zip files, or manual copy. The benefit is faster, higher-quality work: you can turn ideas into clean slides, strong UI, useful images, well-sourced answers, and readable articles with less effort and more control.

https://github.com/ConardLi/garden-skills