1. mvanhorn/last30days-skill Not new today
AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
First seen: March 24, 2026 | Streak: 2d
Analysis
The `last30days-skill` is an AI agent plugin designed to provide comprehensive, grounded research on any topic by aggregating data from across the web, social media, and prediction markets. By leveraging a multi-signal pipeline, the tool scrapes platforms like Reddit, X, YouTube, Hacker News, and Polymarket, applying a sophisticated scoring system that factors in engagement velocity, source authority, and cross-platform convergence. Technically, the skill utilizes advanced query expansion and deductive reasoning to synthesize findings into a structured narrative, which is then automatically saved as a Markdown file for the user's personal research library.
This tool is highly beneficial for researchers, developers, and trend analysts who need to cut through noise to identify what communities are actually discussing, betting on, or adopting in real-time. It is particularly valuable for those seeking to validate AI prompting techniques, track viral product trends, or gain context on fast-moving cultural and technical shifts. The project is currently gaining traction because it transforms the overwhelming, fragmented nature of internet discourse into actionable, cited insights, effectively acting as an automated intelligence assistant for power users of Claude Code and other CLI-based AI environments.
2. bytedance/deer-flow Not new today
An open-source SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.
First seen: February 26, 2026 | Streak: 3d
Analysis
DeerFlow 2.0 is an open-source, ground-up rewrite of a super-agent harness designed to orchestrate complex, long-running tasks through a combination of sub-agents, long-term memory, and isolated sandboxes. It leverages extensible skills and advanced tools, such as the BytePlus-developed InfoQuest search engine, to research, code, and execute multi-layered workflows. Technically, the framework utilizes a modular architecture that supports various execution environments, including local, Docker, and Kubernetes-based sandboxes, while offering seamless integration with messaging platforms like Slack, Telegram, and Feishu for remote task management.
This project is highly beneficial for developers and AI researchers seeking a robust, scalable infrastructure for building autonomous agents capable of handling intricate, time-consuming operations. Its recent surge in popularity is driven by the 2.0 release's versatility, offering a production-ready solution that bridges the gap between simple chatbots and sophisticated, multi-agent systems. By providing an extensible framework that simplifies complex configurations—such as MCP server support and diverse model compatibility—DeerFlow has established itself as a premier tool for those looking to automate advanced research and development cycles.
Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, VLLM, NVIDIA NIM]
First seen: March 25, 2026 | Streak: 1d
Analysis
LiteLLM is a versatile Python SDK and AI gateway that provides a unified interface for interacting with over 100 LLM providers, including OpenAI, Anthropic, Bedrock, and Vertex AI. By standardizing diverse API formats into a consistent OpenAI-compatible structure, it allows developers to switch between models and providers seamlessly without rewriting their codebase. Technically, the project operates as either a lightweight library or a robust proxy server, offering advanced enterprise features such as cost tracking, load balancing, guardrails, and persistent logging to manage AI infrastructure efficiently.
This project is highly beneficial for developers and organizations aiming to build scalable AI applications while avoiding vendor lock-in and simplifying multi-model deployments. Its trending status is driven by its ability to act as a central hub for complex integrations, including MCP (Model Context Protocol) bridges and agentic frameworks, which significantly reduces the operational overhead of managing various LLM APIs. By offering high performance—including sub-10ms latency—and extensive provider support, LiteLLM has become an essential tool for teams looking to streamline their generative AI workflows and improve system reliability.
4. pascalorg/editor Not new today
Create and share 3D architectural projects.
First seen: March 24, 2026 | Streak: 2d
Analysis
Pascal Editor is a high-performance 3D building modeling application built with React, WebGPU, and React Three Fiber within a Turborepo monorepo. It utilizes a sophisticated architecture that separates core data schemas and state management from rendering and editor-specific tooling, ensuring a clean distinction between scene data and visual representation. The system employs a "dirty node" pattern and a centralized `sceneRegistry` to optimize performance, allowing complex geometry—such as walls, slabs, and zones—to be dynamically updated and rendered efficiently via an integrated `useFrame` system.
This project is an ideal foundation for developers and engineers building custom architectural visualization tools, digital twins, or specialized 3D construction management software. It is trending because it demonstrates a cutting-edge approach to web-based CAD development, leveraging modern stacks like Bun, Zustand with Zundo for history tracking, and advanced Three.js features like BVH-based CSG operations. By providing a scalable, modular framework for complex spatial data and 3D interactions, it offers a robust boilerplate for those looking to implement professional-grade geometric editing directly in the browser.
5. ruvnet/ruflo Not new today
🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, distributed swarm intelligence, RAG integration, and native Claude Code / Codex Integration
First seen: February 28, 2026 | Streak: 2d
Analysis
RuFlo is an enterprise-grade agent orchestration platform designed to transform Claude Code into a sophisticated, multi-agent development environment. It utilizes a Rust-powered backend to manage over 60 specialized agents that organize into swarms, utilizing consensus algorithms and hierarchical topologies to execute complex software engineering workflows. Technically, the system integrates a "RuVector" intelligence layer featuring self-optimizing neural architectures, high-speed HNSW vector search, and reinforcement learning loops that allow the platform to learn from past performance and improve routing efficiency over time.
This project is primarily aimed at software development teams and DevOps engineers who need to scale their AI-driven workflows beyond simple chat interactions into autonomous, multi-agent systems. It is trending because it bridges the gap between basic LLM interfaces and production-ready automation, offering a "set-and-forget" orchestration layer that handles everything from security audits to collaborative coding. By providing native integration with existing tools like Claude Code and an extensible plugin architecture, RuFlo empowers developers to build highly reliable, self-correcting AI systems that feel like an inevitable evolution of modern software engineering.
6. Crosstalk-Solutions/project-nomad Not new today
Project N.O.M.A.D, is a self-contained, offline survival computer packed with critical tools, knowledge, and AI to keep you informed and empowered—anytime, anywhere.
First seen: March 16, 2026 | Streak: 5d
Analysis
Project N.O.M.A.D. is a self-contained, offline-first server designed to provide users with critical tools, knowledge, and AI capabilities without requiring an active internet connection. It functions as a management UI that orchestrates various containerized applications—including Kiwix for archives, Kolibri for education, and Ollama for local AI—using Docker on Debian-based operating systems. By streamlining the installation and configuration of these services, it effectively transforms hardware into a robust, portable "command center" for information and utility.
This project is ideal for preppers, educators in remote regions, researchers, or anyone seeking to build a digital contingency plan that remains functional during infrastructure outages. It is gaining traction because it democratizes access to sophisticated AI and vast educational datasets, offering a practical solution for maintaining information sovereignty in an increasingly digital world. As the reliance on cloud services grows, N.O.M.A.D. provides a compelling, privacy-focused alternative that empowers individuals to maintain control over their data and resources regardless of external connectivity.
7. ruvnet/RuView Not new today
π RuView: WiFi DensePose turns commodity WiFi signals into real-time human pose estimation, vital sign monitoring, and presence detection — all without a single pixel of video.
First seen: March 03, 2026 | Streak: 1d
Analysis
RuView is an innovative edge AI perception system that enables human pose estimation, vital sign monitoring, and presence detection by analyzing WiFi Channel State Information (CSI) instead of traditional video feeds. By leveraging inexpensive hardware like ESP32-S3 modules, the system processes radio signal disturbances through a high-performance Rust pipeline to reconstruct 3D skeletal movements and biological rhythms in real time. This physics-based approach allows for through-wall sensing and multi-person tracking without the need for cameras, cloud-based data processing, or labeled training sets.
This technology is highly valuable for privacy-conscious organizations, healthcare providers, and disaster response teams who require contactless monitoring in sensitive environments. It is trending because it democratizes sophisticated spatial intelligence, offering a low-cost, secure, and infrastructure-free alternative to traditional surveillance or wearable medical devices. By enabling environments to "see" and interpret human activity through existing radio frequency signatures, RuView represents a significant leap forward for ambient intelligence and accessible, hardware-efficient AI deployment.
8. supermemoryai/supermemory Not new today
Memory engine and app that is extremely fast, scalable. The Memory API for the AI era.
First seen: March 24, 2026 | Streak: 2d
Analysis
Supermemory is a comprehensive memory and context engine designed to provide AI agents with persistent, long-term recall across conversations. The system functions by automatically extracting facts, managing user profiles, and handling temporal contradictions, effectively eliminating the "amnesia" that typically plagues LLM interactions. Technically, it integrates RAG (Retrieval-Augmented Generation), multi-modal file processing, and real-time data connectors into a unified ontology, allowing developers to implement advanced memory capabilities via a simple API without managing complex vector databases or chunking pipelines.
This project is primarily aimed at AI developers and power users who want to build highly personalized agents that learn from previous interactions, project files, and external documentation. It is currently trending because it offers a "plug-and-play" solution for popular IDEs and AI clients through MCP servers and native integrations like Claude Code and Cursor. By abstracting away the infrastructure complexity of managing persistent context, Supermemory enables creators to rapidly deploy agents that are significantly more intelligent and context-aware.
9. FujiwaraChoki/MoneyPrinterV2 Not new today
Automate the process of making money online.
First seen: March 05, 2026 | Streak: 6d
Analysis
MoneyPrinterV2 is an automated application designed to streamline various online income-generating tasks through a modular Python-based architecture. Key features include automated social media management for Twitter and YouTube Shorts, affiliate marketing integration for Amazon, and tools for conducting cold outreach to local businesses. Technically, the project leverages cron jobs for scheduling tasks, requires Python 3.12, and utilizes external libraries for functions like text-to-speech and AI-driven content generation to minimize manual intervention.
This project is primarily intended for developers, digital marketers, and entrepreneurs looking to scale their online presence or affiliate revenue through automation. It is trending because it offers a centralized, "do-it-yourself" framework for passive income strategies that would otherwise require significant time and manual labor. By providing an open-source, extensible platform, it empowers users to experiment with automated content creation and business lead generation, reflecting a broader market interest in AI-assisted productivity tools.
10. usestrix/strix
Open-source AI hackers to find and fix your app’s vulnerabilities.
First seen: March 25, 2026 | Streak: 1d
Analysis
Strix is an open-source security platform that utilizes autonomous, collaborative AI agents to perform dynamic application security testing and automated penetration testing. By integrating tools like HTTP proxies, browser automation, and interactive terminal environments, the system scans codebases and live applications to identify vulnerabilities such as SQL injection, IDOR, and logic flaws. Unlike traditional static analysis tools that often generate false positives, Strix validates its findings by generating functional proof-of-concept exploits, providing developers with actionable, verified security reports.
This project is highly beneficial for developers, security engineers, and DevOps teams who need to accelerate their security workflows without the high overhead of manual pentesting. It is trending because it bridges the gap between complex security research and automated CI/CD pipelines, allowing teams to block insecure code before it reaches production. By providing a developer-first CLI and seamless integration with existing version control systems, Strix offers a scalable, "hacker-in-the-loop" solution that adapts to the rapid release cycles of modern software development.