Lists (4)
Starred repositories
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Multi-Platform Package Manager for Stable Diffusion
🚀 Pytorch Distributed native training library for LLMs/VLMs with OOTB Hugging Face support
Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, security risks, prompt injection, data exfiltration, and supply-chain risks in Claude Code, Codex, and MCP skills b…
AI Agent Governance Toolkit — Policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for autonomous AI agents. Covers 10/10 OWASP Agentic Top 10.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
TencentDB Agent Memory is a team-level memory hub for AI Agents — turning conversations, docs, and code into four reusable memory assets (Chat Memory, Skill, LLM-Wiki, Code-Graph) that are governed…
The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. It showcases practical applications and provides links to open-source projects for implementation…
Streamlines and simplifies prompt design for both developers and non-technical users with a low code approach.
Optimize prompts, code, and more with AI-powered Reflective Optimization
Natural language workflows that enable AI agents to perform complex, multi-step tasks with consistency and reliability.
The open-source alternative to Claude Cowork (powered by opencode)
An agentic skills framework & software development methodology that works.
Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface
Project CodeGuard is an open-source, model-agnostic security framework that embeds secure-by-default practices into AI coding agent workflows. It provides comprehensive security rules that guide AI…
A comprehensive benchmark system for evaluating whether Large Language Models (LLMs) can be tricked into ignoring security vulnerabilities through deceptive code patterns and misleading comments.
AirLLM 70B inference with single 4GB GPU
Platform for stateful agents: AI with advanced memory that can learn and self-improve over time.
Drop-in SDK for adding continual learning and long-term memory to any LLM agent.
The context API to search, scrape, and interact with the web at scale. 🔥
Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and…
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
A Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.