GitHub repos to check out

This GitHub repository hosts the linkedin-engine-template, designed to facilitate the development of LinkedIn-related applications. Users can contribute to the project by creating an account on GitHub and collaborating with others.

Camelid is a Rust-native local inference backend designed to provide evidence-gated model compatibility. This project aims to enhance the performance and reliability of machine learning models in local environments.

This GitHub repository features an AI agent skill that researches any topic across various platforms including Reddit, X, YouTube, HN, Polymarket, and the web. It synthesizes a grounded summary, making it a valuable tool for quick information gathering and analysis.

This GitHub repository provides an unofficial Python API and agentic skill for Google NotebookLM, enabling full programmatic access to its features. Users can leverage capabilities not available in the web UI through Python, CLI, and AI agents like Claude Code, Codex, and OpenClaw.

A light-weight and powerful meta-prompting, context engineering and spec-driven development system for Claude Code by TÂCHES. This GitHub repository provides tools and resources for enhancing productivity in software development.

This GitHub repository hosts the airllm project, which enables the running of 405 billion parameter large language models (LLMs) on systems with just 8GB of VRAM. Users can contribute to the development of airllm by creating an account on GitHub.

ECC is an agent harness performance optimization system designed to enhance skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor, and beyond. This GitHub repository provides tools and resources for developers looking to improve their applications' performance.

AI Maestro is an orchestrator for AI agents that enhances their capabilities with features like memory search, code graph queries, and agent-to-agent messaging. It allows users to manage various AI agents, including Claude and Codex, from a single dashboard and facilitates the movement of agents between different computers and locations.

This GitHub repository provides tools to create beautiful slides on the web using a coding agent's frontend skills. It is designed for developers looking to enhance their presentation capabilities through coding.

Headroom is a tool designed to compress outputs, logs, files, and RAG chunks before they are processed by large language models (LLMs). It achieves a reduction of 60-95% in token usage while maintaining the same answers, and includes functionalities as a library, proxy, and MCP server.

This page introduces a collaborative AI workspace designed to enhance team productivity by integrating company context. Users can build and orchestrate agents alongside their projects, meetings, and connected applications.

Explore open source AI projects from Banco Santander AI Lab, focusing on responsible AI, MLOps, graph ML, and LLM evaluation tailored for financial services. Contributions are encouraged through pull requests under the Apache-2.0 license.

This GitHub repository hosts the development of HubSpot's agent CLI skills, allowing contributors to enhance and expand its functionalities. Users can collaborate by creating an account on GitHub and contributing to the project.

This page showcases the career-ops project, an AI-powered job search system built on Claude Code. It features 14 skill modes, a Go dashboard, PDF generation, and batch processing capabilities.

This GitHub repository hosts the Most Capable Agent System Prompt, a project aimed at enhancing agent-based systems. Users can contribute to its development by creating an account on GitHub and collaborating with others in the community.

This GitHub repository provides a comprehensive curriculum for learning about GPU performance engineering, covering everything from the basics to advanced techniques used by leading AI labs. It serves as a valuable resource for individuals looking to enhance their understanding and skills in this critical area of technology.

This GitHub repository offers open-source Claude Code skills designed for cold email and outbound sales. Users can grade campaigns, export Prospeo searches, and scrape Google Maps, all utilizing Claude Code functionalities.

Meetily is a privacy-first AI meeting assistant that offers 4x faster live transcription using Parakeet/Whisper, speaker diarization, and Ollama summarization, all built on Rust. It ensures 100% local processing with no cloud required, making it the top self-hosted, open-source AI meeting note taker for macOS and Windows.

A free GitHub repository with 4.8K stars has released the entire 'loop engineering' framework for trading agents. It outlines 12 steps to build a self-running quant desk, from strategy intent to rerunning the process.

Repowise is a tool designed to enhance codebase intelligence for both AI and human developers. It provides insights such as code health scores, auto-generated documentation, git analytics, dead code detection, and architectural decisions via MCP.

The meta-harness for AI agents allows you to scaffold your own focused, branded agent harness with features like an npx CLI, MCP server, memory, learning loop, and witness-signed releases. It is compatible with various AI models including Claude Code, Codex, pi.dev, Hermes, OpenClaw, and RVM in a hardware-isolated sandbox.

A plain-language explainer for MetaHarness (ruvnet/agent-harness-generator): a factory for agent frameworks. The harness is the product.

OpenWiki is a CLI that writes and maintains agent documentation for your codebase. It helps streamline the documentation process, ensuring that your codebase is well-documented and easy to understand.

T3MP3ST is an autonomous red teaming platform designed to enhance offensive security practices. It serves as a multi-agent meta-harness for security professionals to simulate attacks and improve defenses.

This GitHub repository provides practical patterns, starters, and CLI tools for loop engineering utilizing AI coding agents. It offers design systems that prompt and orchestrate agents, featuring tools like loop-audit, loop-init, and loop-cost.

Mesh-LLM is a platform designed for sharing compute resources privately or publicly, enabling users to power their AI agents and chat applications. It aims to democratize access to distributed AI and large language models for all users.

LMCache is designed to enhance the performance of large language models (LLMs) by providing the fastest key-value caching layer. This GitHub repository offers resources and documentation for integrating LMCache into your LLM projects.

This GitHub repository hosts the CUDA-LLM project, which focuses on leveraging CUDA for large language model implementations. Users can contribute to the development and collaborate on enhancing the project's capabilities.

The deterministic write gate for agent-managed knowledge graphs. Let LLMs propose graph updates; only validated, versioned, provenance-stamped writes reach the graph. - kkrlstrm/knowledge-graph-governance

WrenAI is an open-source, governed text-to-SQL tool that enables AI agents to convert natural-language questions into trusted dashboards, charts, and SQL queries. It supports over 20 data sources, including BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, and Databricks.

Ryan Lopopolo’s anthology, field guide, and agent context bundle for harness engineering provides valuable insights and resources for professionals in the field. This repository serves as a comprehensive collection of knowledge and tools to enhance understanding and application of harness engineering principles.

From agent user to agent builder: build a Claude Code-style coding agent from scratch in Python. This course offers 8 free lessons covering agent loop, permissions, sandboxes, context engineering, subagent swarms, and evals.