#python #ai_agents #claude_code #cloud_security #cybersecurity #devsecops #ethical_hacking #incident_response #infosec #llm #malware_analysis #mcp #mitre_attack #nist_csf #osint #penetration_testing #red_team #security #security_automation #threat_hunting #threat_intelligence

Anthropic Cybersecurity Skills is a free, open-source library with 754 ready-made security skills for AI agents across 26 domains. It helps an AI act more like a senior security analyst by giving clear workflows, checks, and verification steps. It also maps each skill to major security frameworks like MITRE ATT&CK, NIST CSF 2.0, ATLAS, D3FEND, and NIST AI RMF. The benefit is faster, smarter, and more reliable security work with less guesswork.

https://github.com/mukul975/Anthropic-Cybersecurity-Skills

#python #audio #audio_tokenizer #llm #multimodal #text_to_speech #voice_cloning

MOSS-TTS is an open-source family of speech and sound models for natural, high-quality audio generation, including voice cloning, multi-speaker dialogue, real-time speech, and sound effects. It supports 31 languages in v1.5, better voice stability, and pause control, and it also offers a lightweight Nano version that can run on 4 CPU cores. The benefit to you is simple: you can create realistic speech or sound for apps, demos, or products with strong quality, flexible control, and multiple ways to run it.

https://github.com/OpenMOSS/MOSS-TTS

#python #ai #ai_companion #ai_vtuber #ai_waifu #chatbots #live2d #live2d_web #llm #neuro_sama #ollama

Open-LLM-VTuber is an offline AI companion with voice chat, vision, and a Live2D avatar that works on Windows, macOS, and Linux. It can run as a web app or desktop pet, supports many LLM, speech-to-text, and text-to-speech options, and is highly customizable, so you can build a personal assistant that fits your style and keep chats stored for later.

https://github.com/Open-LLM-VTuber/Open-LLM-VTuber

#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

#javascript #ai #anthropic #caveman #claude #claude_code #llm #meme #prompt_engineering #skill #tokens

This tool helps agents answer in caveman style: fewer words, same technical meaning, and often much lower token cost. You can choose levels like lite, full, ultra, or wenyan, and it also includes commands for shorter commit messages, quick PR reviews, stats, and compressing memory files; the benefit is faster replies, lower cost, and longer context for your work.

https://github.com/JuliusBrussee/caveman

#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 #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 #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

#other #agentic_ai #coding #llm #long_horizon

GLM-5.2 is the latest open-source model built for long, complex tasks, featuring a stable 1 million-token context that lets you handle huge projects without losing track of details. It also offers stronger coding skills with flexible thinking modes to balance speed and quality, plus faster performance. You benefit by getting reliable, high-quality results for big software engineering jobs, automated research, or long planning sessions, all while using an open model that saves costs compared to closed alternatives.

https://github.com/zai-org/GLM-5

#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

#csharp #ai #ai_integration #anthropic #claude #copilot #cursor #game_development #gamedev #gemini #llm #mcp #model_context_protocol #openai #unity #unity3d #videogames

MCP for Unity lets you control your Unity Editor using natural language with AI tools like Claude, Cursor, or VS Code. You can create scenes, edit scripts, manage assets, and run tests just by typing prompts. The benefit to you is faster game development because AI automates repetitive tasks, so you spend less time on manual work and more time creating your game. It is free under the MIT license and works with any MCP client.

https://github.com/CoplayDev/unity-mcp

#python #agent_skills #agentic_ai #ai_agents #autonomous_agents #claude #claude_code #claude_skills #codex #coding_agent #context_engineering #copilot #cursor #developer_tools #github_copilot #llm_agents #long_running_agents #manus #multi_agent_systems #pi #planning

This tool makes your AI coding agent keep a plan in files like `task_plan.md` so it never loses its goals when context fills up, you run `/clear`, or it crashes. You get a working memory on disk that auto-recovers past sessions and holds the agent until the plan is truly done, letting complex, multi-step tasks finish reliably without goal drift or repeated errors.

https://github.com/OthmanAdi/planning-with-files

#typescript #agent #ai_agent #embedding #llm #local_first #long_term_memory #memory #openclaw_plugin #vector_search

TencentDB Agent Memory is an open-source system that lets AI agents remember your preferences and tasks across sessions using a 4-tier local pipeline, reducing token usage by up to 61% and boosting task success by 51%. This benefits you by saving money on AI costs, improving agent accuracy in long tasks, and ensuring your personal data stays private on your device without needing cloud services.

https://github.com/TencentCloud/TencentDB-Agent-Memory

#shell #bonsai #llamacpp #llm #mlx #prism_ml #small_models

You can run powerful Bonsai 27B AI models locally on your iPhone, Mac, or laptop without needing cloud servers. The 1-bit version fits in just 3.9 GB, allowing a 27-billion-parameter model (with vision and reasoning) to run on a phone like the iPhone 17 Pro, while the Ternary version offers higher quality at 5.9 GB. This gives you private, fast, and offline AI for chat, image analysis, and tool use, with up to 262K token context and 90–95% of full-precision performance.

https://github.com/PrismML-Eng/Bonsai-demo

#python #ai_coding #claude #claude_code #code_review #graphrag #incremental #knowledge_graph #llm #mcp #python #static_analysis #tree_sitter

code-review-graph is a free, local-first tool that builds a structural map of your code to stop AI assistants from re-reading your entire codebase, saving you significant money and time. By using Tree-sitter to parse your code into a graph and tracking changes incrementally, it identifies the exact "blast radius" of a change so your AI only reads the few files that actually matter. This reduces token usage by an average of 82x (up to 528x in best cases), cutting costs and making AI reviews feasible for massive projects like monorepos.

https://github.com/tirth8205/code-review-graph

#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

#typescript #a2a #ai_agents #ai_gateway #anthropic #claude #claude_code #cline #codex #copilot #cursor #deepseek #free_ai #gemini #kimi #llm_gateway #mcp #openai #openai_proxy #qwen #token_saver

OmniRoute is a free tool that connects your AI coding apps to 268 providers, including 90+ with free tiers, so you can use top models like Claude or GPT without paying. It automatically switches to another provider if one hits its limit and compresses your requests to cut token usage by up to 95%. You benefit by saving money, avoiding interruptions, and getting unlimited access to powerful AI tools through a single, easy setup.

https://github.com/diegosouzapw/OmniRoute

#rust #gguf #llm #localai #mlx #skill #unsloth

llmfit is a free terminal tool that automatically checks your computer’s RAM, CPU, and GPU to tell you exactly which large language models will run well on your machine, ranking them by fit, speed, quality, and context. It supports both an interactive visual interface and a command-line mode, works with multi-GPU setups, and suggests the best quantization levels so you never waste time or storage downloading models that won’t work. This saves you from guesswork, trial-and-error testing, and wasted bandwidth, giving you immediate, reliable recommendations for the best local AI models for your specific hardware.

https://github.com/AlexsJones/llmfit