AI Repos Worth Watching
GitHub's trending AI repos ranked and scored. Updated daily.
AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
A tool for creating and running Linux containers using lightweight virtual machines on a Mac. It is written in Swift, and optimized for Apple silicon.
PM Skills Marketplace: 100+ agentic skills, commands, and plugins — from discovery to strategy, execution, launch, and growth.
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, and security risks.
Production-grade engineering skills for AI coding agents.
Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
OpenAI Plugins
Taste-Skill - gives your AI good taste. stops the AI from generating boring, generic slop
an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
The Frontend Stack for Agents & Generative UI. React, Angular, Mobile, Slack, and more. Makers of the AG-UI Protocol
NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.
An interface library for RL post training with environments.
Local-first AST-aware context packs and MCP tools for AI coding agents.
PackMind is a Rust-based toolset providing local-first, AST-aware context packs and MCP tools for AI coding agents to enhance code understanding and prompt management.
Open-source, governed Company Brain: turn your records into a semantic recall layer (Langbase Memory) + a foreign-key knowledge graph with grounded, cited briefing & Q&A agents. Bring your own domain, data, and deployment.
Open-source project providing a semantic recall layer and knowledge graph to enable AI-driven briefing and Q&A agents from domain-specific data.
"The Operating System for AI Agents. Build, Test, Deploy, Monitor, Govern."
Agentos is a Python-based operating system framework designed to build, test, deploy, monitor, and govern AI agents.
Self-hosted runtime authority server for AI agents - budgets, risk, actions, tenant isolation
runcycles/cycles-server is a self-hosted runtime authority server designed for managing AI agents with features like budget enforcement, risk control, action auditing, and tenant isolation.
Collection of LLM system prompts, agentic personas, cognitive frameworks & prompt engineering experiments
A GitHub repository compiling diverse system prompts, agentic personas, cognitive frameworks, and prompt engineering experiments for large language models.
Multi-agent pipeline that autonomously researches companies and generates executive market intelligence reports using 6 specialized Claude AI agents.
A multi-agent system uses six specialized Claude AI models to autonomously research companies and produce executive market intelligence reports.
smista.ai is a local-first agent and CLI that routes each phase of an AI workflow to the model best suited for it. Using deterministic, configurable policies instead of guesswork.
smista.ai is a Rust-based local-first AI agent and CLI that deterministically routes AI workflow phases to the most suitable models based on configurable policies.
LLM-native architecture decision record (ADR) tracking. Prevents Agents from repeating mistakes. SQLite + Qdrant + MCP.
A new tool called mitos offers LLM-native architecture decision record tracking to help AI agents avoid repeating past mistakes using SQLite, Qdrant, and MCP integration.
AI real-estate automation platform: Telegram bot, RAG, apartment search, CRM workflows, voice agent, Langfuse observability, and Dockerized AI runtime.
The yastman/rag GitHub repo offers an AI-enhanced real-estate automation platform integrating Telegram bot, retrieval-augmented generation, voice AI, and CRM workflows with observability and containerized runtime.
The Orchestration Layer for AI Agents - Local AI models, agents, skills, and automations - on your own infrastructure, connected to your data
Tale is an orchestration layer enabling deployment and management of local AI models, agents, skills, and automations on private infrastructure connected to data.