#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 #ai_agent #algorithmic_trading #backtesting #fintech #llm #mcp #multi_agent #python #quantitative_finance #trading

Vibe-Trading is an open-source trading research tool that turns plain English questions into market analysis, backtests, reports, and trading exports. It helps you test ideas, study your own trades, and run agent teams, so you can make faster, better trading decisions without building everything from scratch.

https://github.com/HKUDS/Vibe-Trading

#python #agent_infrastructure #ai_agent #ai_search #automation #bilibili #claude_code #cli #cursor #free_api #llm_tools #mcp #python #reddit_scraper #twitter_scraper #web_scraper #xiaohongshu #youtube_transcript

Agent Reach helps your AI agent get internet access fast, so it can read webpages, YouTube, Reddit, Twitter/X, GitHub, RSS, and more with simple commands. It is free, open source, privacy-focused, and works with many agents that can run terminal commands. This saves you time because you do not need to set up each site by hand, and your agent can start finding, reading, and summarizing online content for you in minutes.

https://github.com/Panniantong/Agent-Reach

#python #ai #chromadb #llm #mcp #memory #python

MemPalace is a local AI memory tool that saves your chats as exact text, then finds useful parts with search, so nothing leaves your machine unless you choose it. It is free, open source, MIT-licensed, and works with Python 3.9+, ChromaDB, and local tools like Claude Code. The main benefit is safer, private, and more reliable memory for your projects, with no required API calls or cloud fees.

https://github.com/MemPalace/mempalace

#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

#python #ai #apple_silicon #benchmarks #cli #command_line_tool #gguf #gpu #huggingface #inference #llm #local_llm #ollama #python #vram

whichllm helps you find the best local AI model that fits your computer, not just the biggest one that fits. It checks your GPU, CPU, and RAM, ranks models using real benchmark data, and can also simulate other hardware, plan upgrades, and start a chat with a model in one command. This saves you time and helps you pick a model that should run well and work better for your needs.

https://github.com/Andyyyy64/whichllm

#python #google #googlecloud #skills

This repository gives you ready-made Google Cloud skills you can install with `npx skills add google/skills`, including tools for Gemini, BigQuery, Cloud Run, Firebase, GKE, and Google Cloud best practices. It helps you learn and use Google products faster, with setup help, support, and open-source licensing so you can copy, change, and share the skills freely.

https://github.com/google/skills

#python #bert #deepseek #healthcare #ios #llm #mlx #ner #on_device #on_premise #pii #pii_detection #qwen #sovereign_ai #swift #swift_package #swiftui

OpenMed is a local-first healthcare AI that runs on your own device or server, so patient data never leaves your network. It can extract medical entities, remove personal info, and use 1,000+ medical models in Python, Swift, or REST, which helps you work faster while keeping data private and avoiding cloud costs and vendor lock-in.

https://github.com/maziyarpanahi/openmed

#python #csi #diy #esp_32 #espectre #home_assistant #motion_detection #wifi #wifi_sensing

ESPectre is a cheap motion sensor that uses Wi‑Fi signal changes on an ESP32, so you do not need cameras, microphones, or wearables, and it works with Home Assistant through ESPHome.[user text] Set it up in about 10–15 minutes with basic YAML, use your normal 2.4 GHz router, and place the sensor about 3–8 meters away for best results.[user text] This helps you add private, low-cost motion detection for security, lights, energy saving, or room monitoring.[user text]

https://github.com/francescopace/espectre

#python

SkillSpector scans AI agent skills before you install them and flags risky code, hidden instructions, data leaks, and other security problems, using fast checks and optional AI review. It can scan folders, files, Git repos, and zip files, and it gives an easy risk score plus clear advice so you can decide whether a skill is safe to use.

https://github.com/NVIDIA/SkillSpector

#python

SIA is a tool that helps an AI system improve itself by using three parts: a meta-agent that sets up the task, a target agent that tries the task, and a feedback agent that studies the results and makes the next version better. This can help you test AI on your own tasks, track progress across generations, and see what changes improve performance.

https://github.com/hexo-ai/sia

#python

Music Assistant is a free, open-source tool that manages your music library by connecting to streaming services and speakers. It runs best on an always-on device like a Raspberry Pi and works seamlessly with Home Assistant for smart automation. The benefit to you is effortless control over all your music sources in one place, plus the ability to create automated routines (like playing music when you arrive home) without needing complex coding skills.

https://github.com/music-assistant/server