A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎，预测万物
First seen: March 08, 2026 | Streak: 1d
Analysis
MiroFish is a swarm intelligence engine designed to simulate and predict complex real-world scenarios by creating high-fidelity digital environments populated by autonomous agents. Technically, the platform leverages GraphRAG for memory construction, entity relationship extraction, and multi-agent simulation to analyze input seeds such as news, policy drafts, or literature. By dynamically injecting variables into these "digital sandboxes," the system allows users to observe social evolution and emergent behaviors to generate detailed predictive reports and interactive simulations.
This project is primarily aimed at decision-makers requiring low-risk policy pre-simulation, as well as creative users looking to explore narrative outcomes or hypothetical scenarios. It is gaining traction because it bridges the gap between abstract data analysis and concrete, visual interaction, turning static information into a dynamic "God’s-eye view" of potential futures. By democratizing access to complex multi-agent simulations, MiroFish offers a versatile, "playful" yet powerful tool for both professional strategic planning and personal intellectual curiosity.
2. openai/skills Not new today
Skills Catalog for Codex
First seen: February 04, 2026 | Streak: 2d
Analysis
The `openai/skills` repository serves as a centralized catalog for "Agent Skills," which are standardized sets of instructions, scripts, and resources designed to enhance the capabilities of AI agents within the Codex ecosystem. By packaging specific task-oriented functionalities, these skills allow developers to create repeatable workflows that can be seamlessly integrated across different environments. Technically, the system utilizes a command-line interface, `$skill-installer`, to fetch and implement curated or experimental skills directly from the repository, requiring only a simple restart of Codex to activate the new logic.
This project primarily benefits software engineers and AI developers who seek to streamline complex automation tasks and improve the modularity of their AI-driven applications. It is trending because it addresses the growing demand for an open standard in agentic workflows, enabling teams to share and adopt standardized toolsets for diverse technical requirements. By fostering a collaborative ecosystem where custom functionalities can be easily distributed and reused, this repository significantly lowers the barrier to deploying specialized AI agents in professional development environments.
3. msitarzewski/agency-agents Not new today
A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a specialized expert with personality, processes, and proven deliverables.
First seen: March 04, 2026 | Streak: 1d
Analysis
"The Agency" is a comprehensive repository of specialized AI agents designed to function as an autonomous, multi-disciplinary workforce. Technically, the project provides structured, personality-driven prompt configurations that define clear missions, workflows, and deliverable metrics for specific roles across engineering, design, marketing, and operations. These agents are optimized for integration with platforms like Claude Code, allowing users to instantly summon expert-level assistance for tasks ranging from full-stack development and UI design to complex project management and quality assurance.
This project is highly beneficial for developers, product managers, and entrepreneurs who need to scale their operational capacity without the overhead of hiring a massive team. It is currently trending because it offers a practical, production-ready solution for leveraging AI beyond simple chat interactions, turning LLMs into reliable, domain-specific specialists. By standardizing high-quality workflows, "The Agency" empowers individuals to execute professional-grade projects with the efficiency of a full-service agency at their fingertips.
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
First seen: March 08, 2026 | Streak: 1d
Analysis
The Google Cloud Generative AI repository serves as a comprehensive educational hub for developers looking to integrate Google’s advanced AI models, such as Gemini, Imagen, and Chirp, into their applications. Technically, it provides a curated collection of notebooks, code samples, and end-to-end architecture patterns that leverage the Vertex AI platform. By utilizing these resources, users can implement diverse workflows ranging from function calling and multi-modal generation to complex agentic systems and custom model fine-tuning.
This project is an essential resource for software engineers, data scientists, and cloud architects aiming to build and scale generative AI solutions on Google Cloud. It is highly trending because it provides immediate access to the latest foundational model updates—such as Gemini 3.1 Pro—while offering production-ready templates that address real-world challenges like observability, deployment, and evaluation. By consolidating high-quality, practical examples into a single repository, it significantly accelerates the development lifecycle for professionals transitioning from prototyping to enterprise-grade AI production.
🤖 Autonomous agent framework for Elixir. Built for distributed, autonomous behavior and dynamic workflows.
First seen: March 08, 2026 | Streak: 1d
Analysis
Jido is an autonomous agent framework for Elixir that formalizes the creation of multi-agent systems by leveraging pure functional principles and the OTP runtime. Technically, it treats agents as immutable data structures where a central `cmd/2` function processes inputs to produce updated state and "directives"—declarative descriptions of side effects like spawning processes or emitting signals. By decoupling business logic from process execution, Jido provides a deterministic, highly testable architecture that improves upon raw GenServer implementation by standardizing communication, lifecycle management, and effect handling.
Developers building complex, distributed AI systems or event-driven microservices will find Jido particularly valuable for its ability to manage state and coordination without the usual overhead of ad-hoc message handling. The project is trending because it addresses the growing demand for robust, production-ready agent orchestration within the resilient Elixir ecosystem. By offering a structured path to define complex workflows while maintaining the scalability of the BEAM, Jido allows engineers to focus on agent intelligence rather than the underlying plumbing of process supervision and distributed messaging.
6. QwenLM/Qwen-Agent Not new today
Agent framework and applications built upon Qwen>=3.0, featuring Function Calling, MCP, Code Interpreter, RAG, Chrome extension, etc.
First seen: March 07, 2026 | Streak: 2d
Analysis
Qwen-Agent is a comprehensive framework designed for developing Large Language Model (LLM) applications that leverage the instruction-following, planning, and memory capabilities of the Qwen model family. Technically, it provides a modular architecture with atomic components like `BaseChatModel` for LLM interaction and `BaseTool` for custom tool integration, enabling developers to build sophisticated agents capable of RAG, code execution, and MCP-compliant operations. The framework supports both cloud-based model services via DashScope and self-hosted deployments using OpenAI-compatible APIs like vLLM or Ollama, offering built-in support for Gradio-based GUI prototyping.
This project is highly beneficial for AI researchers, software developers, and enterprise engineers who need to build, evaluate, and deploy production-grade agentic workflows. It is trending because it provides a seamless bridge between cutting-edge open-source models like Qwen3.5 and practical, real-world utility through advanced tool-calling and multi-step reasoning capabilities. By offering a standardized way to integrate complex logic—such as document processing and web-based image manipulation—Qwen-Agent empowers users to quickly prototype and scale intelligent assistants tailored to specific domain requirements.
7. virattt/ai-hedge-fund Not new today
An AI Hedge Fund Team
First seen: March 07, 2026 | Streak: 2d
Analysis
The AI Hedge Fund project is an educational proof-of-concept platform that simulates an AI-powered investment firm by utilizing a multi-agent system. It integrates specialized "investor agents," modeled after legendary figures like Warren Buffett and Michael Burry, alongside dedicated functional agents that perform sentiment analysis, valuation, and technical analysis. Technically, the system functions by aggregating financial data and using LLMs to synthesize these diverse perspectives into cohesive trading signals, all managed by a centralized Portfolio Manager and Risk Manager.
This project is primarily aimed at developers, finance enthusiasts, and students who want to explore the intersection of generative AI and quantitative finance. It is currently trending because it provides a highly accessible, modular framework for experimenting with agentic workflows in a domain as complex as market analysis. By offering both a command-line interface and a web application, the project democratizes complex investment modeling while serving as a valuable learning tool for those interested in autonomous AI decision-making.
8. microsoft/hve-core Not new today
A refined collection of Hypervelocity Engineering components (instructions, prompts, agents, and skills) to start your project off right, or upgrade your existing projects to get the most out of all Copilots
First seen: March 05, 2026 | Streak: 2d
Analysis
HVE Core is an enterprise-grade framework designed to standardize and scale prompt engineering workflows within GitHub Copilot. It utilizes a structured "Research, Plan, Implement" (RPI) methodology to transition AI assistance from generic outputs to validated, constraint-based engineering artifacts. Technically, the project provides a comprehensive library of specialized agents, reusable prompts, and coding instructions that are governed by JSON schema validation and a CI/CD-integrated linting pipeline to ensure consistency and reliability.
This project is an essential resource for software development teams and organizations looking to integrate AI into professional engineering pipelines without sacrificing quality or security. It is trending because it addresses the "plausibility trap" of LLMs by implementing rigorous guardrails and specialized personas that allow developers to automate complex tasks confidently. By offering a modular, repeatable structure, HVE Core empowers teams to move beyond ad-hoc prompting and adopt a disciplined, high-velocity engineering approach that aligns with enterprise compliance standards.
There can be more than Notion and Miro. AFFiNE(pronounced [ə‘fain]) is a next-gen knowledge base that brings planning, sorting and creating all together. Privacy first, open-source, customizable and ready to use.
First seen: March 08, 2026 | Streak: 1d
Analysis
AFFiNE is an open-source, all-in-one workspace designed as a privacy-focused alternative to tools like Notion and Miro. By merging documentation, whiteboarding, and project management into a single "edgeless" canvas, it allows users to organize various media and data types through a modular, block-based architecture. Technically, the project prioritizes a local-first approach using CRDTs (via Yjs and y-octo) to ensure real-time collaboration and data ownership, while utilizing a Rust-based engine called OctoBase for high-performance database management.
This project is ideal for creative professionals, developers, and teams who prioritize data privacy and seek a highly customizable, unified operating system for their knowledge base. It is gaining significant traction because it addresses the growing demand for self-hostable, open-source productivity software that avoids the limitations of closed-ecosystem alternatives. By integrating AI-assisted workflows and providing a developer-friendly, extensible environment, AFFiNE empowers users to build their own bespoke productivity tools without sacrificing control over their information.
10. shadcn-ui/ui
A set of beautifully-designed, accessible components and a code distribution platform. Works with your favorite frameworks. Open Source. Open Code.
First seen: March 08, 2026 | Streak: 1d
Analysis
shadcn/ui is a collection of re-usable, accessible, and highly customizable UI components designed to be copied directly into a project’s codebase. Unlike traditional component libraries distributed as npm packages, it utilizes a CLI tool to provide the source code for each component, allowing developers to own and modify the implementation according to their specific needs. It is built on top of robust foundations like Radix UI for accessibility and Tailwind CSS for styling, ensuring that components are both functionally sound and visually cohesive.
This project is ideal for developers and teams who want to build high-quality, bespoke design systems without the constraints of rigid, pre-compiled library dependencies. It has become a dominant trend in the frontend ecosystem because it solves the "black box" problem of traditional UI kits, granting users total control over their markup and styling. By prioritizing developer experience and transparency, shadcn/ui enables rapid prototyping while maintaining the flexibility required for long-term project scalability.