1. 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: 2d
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.
2. 666ghj/MiroFish Not new today
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: 4d
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.
3. NousResearch/hermes-agent Not new today
The agent that grows with you
First seen: March 01, 2026 | Streak: 2d
Analysis
The Hermes Agent is a self-improving AI framework developed by Nous Research that functions as a persistent, autonomous assistant capable of evolving alongside its user. Technically, it utilizes a unique "learning loop" that allows the agent to synthesize new skills from experience, store long-term memories across sessions, and integrate with over 200 different LLM providers through a flexible, modular architecture. The project supports seamless deployment across varied environments, including low-cost VPS setups, cloud clusters, and serverless infrastructure, while offering a robust toolset that includes messaging gateways, task scheduling, and MCP integration.
This project is primarily designed for power users, developers, and AI enthusiasts who require a highly customizable, persistent assistant that grows more capable through continuous usage. It is currently trending because it addresses the growing demand for autonomous agents that transcend simple chat interfaces to provide genuine, context-aware utility and skill acquisition. By enabling users to maintain a cohesive digital identity and persistent workflow across diverse platforms and LLM models, Hermes Agent offers a compelling, open-source alternative to locked-in proprietary AI ecosystems.
Test your prompts, agents, and RAGs. AI Red teaming, pentesting, and vulnerability scanning for LLMs. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with command line and CI/CD integration.
First seen: March 11, 2026 | Streak: 1d
Analysis
Promptfoo is a comprehensive CLI-based toolkit designed for the systematic evaluation, red teaming, and vulnerability scanning of LLMs, agents, and RAG applications. It enables developers to compare performance across a wide array of models—including GPT, Claude, and Llama—using simple, declarative configuration files. Technically, the tool operates locally to ensure data privacy, supports seamless integration into CI/CD pipelines, and provides robust reporting capabilities for security and compliance monitoring.
This project is essential for AI engineers, security researchers, and DevOps teams who need to move beyond subjective testing toward data-driven, automated validation of LLM outputs. It is currently trending because it addresses the critical industry need for rigorous safety and performance benchmarks in increasingly complex AI production environments. By offering a developer-first approach that reduces reliance on gut feeling, Promptfoo empowers teams to deploy high-quality, secure, and reliable AI applications with confidence.
5. GoogleCloudPlatform/generative-ai Not new today
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
First seen: March 08, 2026 | Streak: 4d
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.
6. virattt/ai-hedge-fund Not new today
An AI Hedge Fund Team
First seen: March 07, 2026 | Streak: 1d
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.
7. karpathy/nanochat Not new today
The best ChatGPT that $100 can buy.
First seen: February 03, 2026 | Streak: 2d
Analysis
nanochat is an experimental, minimalist framework designed to streamline the entire lifecycle of Large Language Model development, including tokenization, pretraining, fine-tuning, and inference. It simplifies complex configurations by using a single "depth" parameter—the number of transformer layers—to automatically calibrate all associated hyperparameters, such as model width, learning rates, and training schedules. Technically, the framework is optimized for single-node 8XH100 GPU clusters, utilizing explicit precision management rather than automated autocasting to maintain efficiency and transparency across various hardware environments.
This project is an invaluable resource for researchers and AI enthusiasts who want to iterate on LLM training without the overhead of massive infrastructure or complex configuration tuning. It is currently trending because it democratizes access to state-of-the-art capability, allowing users to train a model equivalent to 2019-era GPT-2 for under $50 in mere hours. By providing a transparent, hackable codebase and a competitive "GPT-2 speedrun" leaderboard, the repository serves as a powerful community platform for testing architectural improvements and optimizing compute efficiency in the modern era of AI.
8. obra/superpowers Not new today
An agentic skills framework & software development methodology that works.
First seen: February 04, 2026 | Streak: 1d
Analysis
Superpowers is an agentic framework designed to standardize the software development lifecycle by integrating a library of composable, automated "skills" directly into coding agents like Claude Code and Cursor. Instead of jumping straight to code, the system enforces a structured workflow that begins with Socratic brainstorming, proceeds to detailed implementation planning, and culminates in a rigorous subagent-driven development cycle. Technically, it functions as a plugin that triggers mandatory engineering protocols—such as strict test-driven development (TDD), git worktree management, and iterative code reviews—ensuring that agents maintain high-quality standards and consistent progress without requiring manual intervention.
This project is highly beneficial for developers and software teams looking to minimize the "hallucination" and ad-hoc coding patterns often associated with AI-assisted programming. It is trending because it addresses a critical gap in the current AI developer tool ecosystem: the transition from simple code generation to reliable, autonomous project execution that mirrors professional engineering discipline. By embedding best practices like YAGNI and DRY into the agent's core decision-making loop, Superpowers provides a repeatable, scalable methodology for building robust software applications.
9. alibaba/page-agent Not new today
JavaScript in-page GUI agent. Control web interfaces with natural language.
First seen: March 10, 2026 | Streak: 2d
Analysis
PageAgent is a lightweight JavaScript library that enables natural language control over web interfaces directly from within the browser. Unlike traditional automation tools that rely on headless browsers, OCR, or heavy multi-modal models, PageAgent operates entirely in-page using text-based DOM manipulation. By integrating this tool, developers can empower LLMs to interact with web elements, fill forms, and navigate complex workflows without needing special permissions or backend infrastructure.
This project is highly beneficial for SaaS developers looking to quickly implement AI copilots, automate repetitive data entry, or improve accessibility for complex web applications. It is trending because it drastically simplifies the implementation of "Agentic UI," allowing businesses to transform manual, multi-click processes into seamless conversational experiences with just a few lines of code. By prioritizing client-side efficiency and developer-friendly integration, PageAgent offers a pragmatic, high-performance alternative to traditional server-side web automation frameworks.
10. sepinf-inc/IPED
IPED Digital Forensic Tool. It is an open source software that can be used to process and analyze digital evidence, often seized at crime scenes by law enforcement or in a corporate investigation by private examiners.
First seen: March 11, 2026 | Streak: 1d
Analysis
IPED (Digital Evidence Processor and Indexer) is a robust, open-source forensic tool designed for the efficient processing and analysis of large-scale digital evidence. Technically, it is implemented in Java and utilizes The Sleuthkit library for file system decoding, offering high-performance multithreaded capabilities capable of handling millions of items. The software boasts a comprehensive suite of features, including advanced data carving, OCR, facial recognition, georeferencing, and specialized modules for detecting illegal content, such as nudity or CSAM.
This project is primarily intended for law enforcement agencies and corporate forensic investigators who require a stable, portable, and fast solution for examining seized digital media. It is highly valued in the digital forensics community because it provides enterprise-grade performance, supporting a wide range of disk image formats and complex analysis workflows without requiring expensive proprietary software. By bridging the gap between raw data processing and intuitive visual investigation, IPED remains a critical resource for professionals managing massive, multi-case investigations.