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Autoresearch: Autonomous Iteration for LLM-Powered Code Improvement
Autoresearch is a powerful GitHub repository that transforms large language models like Claude Code, OpenCode, and OpenAI Codex into relentless improvement engines. Inspired by Karpathy's autoresearch, it enables autonomous, goal-directed iteration, following a "Modify, Verify, Keep/Discard, Repeat" loop to achieve compounding gains across various domains. This project offers a structured approach to automate development, security, and operational tasks with AI.
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Autoresearch: Autonomous Iteration for LLM-Powered Code Improvement
Autoresearch is a powerful GitHub repository that transforms large language models like Claude Code, OpenCode, and OpenAI Codex into relentless improvement engines. Inspired by Karpathy's autoresearch, it enables autonomous, goal-directed iteration, following a "Modify, Verify, Keep/Discard, Repeat" loop to achieve compounding gains across various domains. This project offers a structured approach to automate development, security, and operational tasks with AI.
CLI Agent Orchestrator: Multi-Agent Orchestration for AI Coding CLIs
The CLI Agent Orchestrator (CAO) is a powerful tool designed to coordinate multiple AI coding CLIs, enabling a supervisor to delegate tasks to specialist agents in parallel or sequence. It achieves this by running a local `cao-server` and launching provider CLIs within isolated tmux terminal sessions. This setup allows for efficient management and orchestration of various AI coding assistants.
Education Agent Skills: 165 AI Skills for Evidence-Based Teaching
The Education Agent Skills library offers 165 evidence-grounded AI skills designed for teachers, school leaders, and EdTech builders. It provides a robust foundation for AI in education, focusing on pedagogy, learning science, curriculum, and assessment. Compatible with AI agents like Claude, Codex, and Hermes, this open-source resource aims to enhance teaching quality and student outcomes.
awesome-claude-code: A Curated List of Resources for Anthropic's Claude Code
The awesome-claude-code repository offers a comprehensive, curated list of tools, integrations, frameworks, and resources specifically designed for developers utilizing Anthropic's Claude Code. This valuable collection helps users discover everything from official SDKs and agent skills to IDE integrations and client GUIs. It serves as an essential guide for enhancing development workflows with AI-powered coding assistance.
claude-codex-settings: Enhance Your AI Coding Tools with Battle-Tested Configurations
The `claude-codex-settings` repository provides battle-tested configurations, plugins, hooks, and agents for Claude Code, OpenAI Codex, and Cursor. It aims to significantly improve AI coding tool behavior by offering structured guidelines and an extensive ecosystem of specialized skills. This versatile resource also supports Kimi, MiniMax, and GLM APIs, streamlining AI-powered development workflows.
agent-memory: A Standalone Memory System for AI Coding Agents
agent-memory is a standalone memory system designed for AI coding agents, addressing the common problem of agents "forgetting" context between sessions. It provides a structured, four-layer pipeline for capturing, consolidating, and disclosing knowledge. This system ensures agents always start with relevant context, eliminating the need for manual keyword-dependent retrieval.
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Awesome AI Agent Attacks: A Curated Timeline of AI Security Incidents
The Awesome AI Agent Attacks repository provides a meticulously curated timeline of real-world AI agent security incidents, breaches, and vulnerabilities from 2024 to 2026. Each entry is thoroughly sourced and dated, offering a factual overview of the evolving threat landscape in agentic AI. It serves as an essential resource for understanding the practical implications of AI security.
CineScale: Unlocking 4K High-Resolution Cinematic Video Generation
CineScale is an innovative GitHub repository by Eyeline-Labs, extending FreeScale to enable high-resolution cinematic video generation. It provides models and tools to achieve up to 4K video output, leveraging diffusion models for advanced visual content creation. This project offers a robust framework for researchers and developers to generate stunning, high-definition videos.
Typesense: Fast, Typo-Tolerant, Open Source Search Engine
Typesense is a blazing-fast, typo-tolerant, open-source search engine built in C++. It offers a delightful search experience, serving as an easier-to-use alternative to Elasticsearch and an open-source option to Algolia and Pinecone. With features like vector search, semantic search, and built-in RAG, it's designed for high performance and developer happiness.
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