GitHub 2026-05-18 Daily Trending Projects

OpenHuman aims to be a desktop, privacy‑first personal AI assistant that delivers fast contextual understanding via a local Memory Tree, 118+ OAuth connectors and TokenJuice compression to reduce token costs; however, missing repository metadata, unclear licensing and weak community activity mean you should perform compliance and security checks before adoption.

Makes software agent-accessible via a CLI ecosystem with a central Hub, skill registry, and multi-source installers for automation and agent orchestration

Cal.diy is the community open-source self-hosted fork of Cal.com, offering scheduling and booking features built on a modern web stack; it fits individuals or teams willing to manage their own infrastructure for non-production or controlled production scenarios.

Bun delivers an all-in-one high-performance JavaScript/TypeScript toolkit — a single-file executable runtime with fast package management, bundling and testing; suitable for teams prioritizing startup speed and resource efficiency, but Node compatibility and licensing should be evaluated before adoption.

Open Generative AI is an open, uncensored multi‑modal generative studio for creators, offering hosted and desktop local inference with 200+ models; however, license status is unclear and maintenance activity appears limited, so commercial adoption requires caution.

ShadowBroker aggregates 60+ public OSINT streams into a self-hosted interactive geospatial intelligence dashboard for analysts and investigators, while imposing notable deployment, compliance and operational requirements.

Agent Skills is an audit-backed registry of validated skills for AI coding agents, combining CI static analysis, integrity lockfiles, and human curation with a CLI/CDN delivery model to safely extend agent capabilities for security-sensitive teams.

Runnable GenAI agent tutorials to productionize prototypes into services, covering memory, tool integrations, deployment and observability.

Dograh is an open, self-hostable voice-AI platform for engineering teams, offering a drag-and-drop workflow builder, pluggable LLM/STT/TTS, and telephony integrations — suited for production voice agents where data residency and source-code control matter.

A collection that extends AI agents with 135 skills to execute complex scientific workflows—suited for research teams needing local BYOK, broad database access, and cross-domain analysis—however, low maintenance activity and unclear licensing warrant careful security and compliance evaluation before production use.

Dream Server: local‑first, one‑command full‑stack AI for users seeking control over data and costs.

Shannon is a white‑box autonomous AI pentester that, from source‑aware analysis, constructs and executes real exploit PoCs and produces reproducible reports—enabling security and development teams to move pentesting from a yearly event to a continuous process.

Ghost is an open-source CMS optimized for writing and online publishing, combining ready-to-use managed hosting with customizable self-hosting options—suitable for independent media and teams that require theme/API extensibility.

Medusa delivers a modular, extensible headless commerce backend with reusable npm-distributed modules—suited for engineering teams requiring deep customization and multi-channel delivery, with an optional official cloud service for faster deployment.

listmonk is a self-hosted newsletter and mailing-list platform deliverable as a single binary or via Docker, backed by PostgreSQL; it suits teams that require full control over data and delivery, while requiring consideration of AGPLv3 obligations and operational costs.

Plausible is a privacy-first, lightweight web analytics product offering cookie-free tracking, simple dashboards and event APIs—suited for privacy-conscious sites and teams that prefer either self-hosting or a paid managed service.

CodeGraph provides a local semantic index and graph traversal layer for Claude Code, dramatically reducing file scanning and tool calls—ideal for privacy-minded teams and large/multi-language codebases to accelerate code exploration and impact analysis.

A Microsoft beginner course providing 12 lessons with code samples and multilingual docs to help learners build AI agents using GitHub Models or Azure AI Foundry.