Trending AI GitHub Repos
Trending open source AI and machine learning repositories on GitHub.
Showing 50 of 130 items
openai/whisper
The original PyTorch implementation of Whisper trained on hundreds of thousands of hours of audio. It remains a reference model for open speech recognition and translation quality. Pair this with lighter forks or distillations when you need accuracy first, then optimize for speed and cost.
ggml-org/whisper.cpp
A fast C and C++ port of OpenAI’s Whisper speech recognizer that runs fully on CPU. It makes high‑quality transcription and translation viable on laptops, edge boxes, and even some phones. Use this as the backbone when you need offline audio understanding instead of streaming everything to the cloud.
browser-use/video-use
Lets coding agents edit videos programmatically. Bridges dev tooling and media pipelines. If you're eyeing agentic video editing or auto-content workflows, this is a strong starting point. ([github.com](https://github.com/trending?since=daily))
HKUDS/Vibe-Trading
Builds a personal trading agent that tracks markets and executes strategies. Good case study of wiring LLM reasoning into tightly constrained, high-stakes decision loops.
xbtlin/ai-berkshire
Builds an AI-first value investing framework on top of Claude Code and multi-agent research workflows. Treat it as a template for serious, long-horizon research agents in finance.
DeusData/codebase-memory-mcp
High-performance code intelligence server that indexes repos into a persistent knowledge graph. Lets AI tools query big codebases with fewer tokens and sub-millisecond latency. If you build code agents, this is production-grade infrastructure to borrow. ([github.com](https://github.com/trending?since=daily))
commaai/openpilot
Open-source driving stack that turns supported cars into level-2+ driver-assist systems. Strong example of long-running applied robotics with heavy ML. Study how they ship safety-critical updates in the open.
altic-dev/FluidVoice
Offline macOS dictation app using local speech models. Shows how to package on-device AI into a polished consumer product. Useful for anyone targeting privacy-sensitive voice features. ([github.com](https://github.com/trending?since=daily))
opendatalab/MinerU
Pipeline that converts messy PDFs and Office docs into clean markdown or JSON tuned for LLM and agent workflows. It's quickly becoming a standard pre-processing tool. Plug it in if you're serious about document-heavy RAG. ([github.com](https://github.com/trending?since=daily))
usestrix/strix
An "AI hacker" that scans your app for security issues using agents. Shows where security and AI Ops are colliding. Worth studying if you're adding automated testing around LLM apps. ([github.com](https://github.com/trending?since=daily))
Robbyant/lingbot-map
Implements a 3D "foundation model" that reconstructs scenes from streaming sensor data in a simple feed-forward pass. Good reference if you're exploring continuous 3D perception for agents.
cupy/cupy
A drop-in NumPy/SciPy clone for GPUs. Underpins a lot of custom ML workflows that don't fit standard frameworks. Reach for it when PyTorch or JAX feel too heavy. ([github.com](https://github.com/trending?since=daily))
roboflow/supervision
Supervision offers a batteries-included toolbox for computer vision pipelines: drawing boxes, tracking objects, and managing datasets. It’s becoming a standard glue layer for quickly wiring vision models into real applications.
microsoft/markitdown
markitdown converts many document formats into clean Markdown, which LLMs handle more reliably. It’s a practical bridge between messy office files and the text-first world most AI models live in.
Panniantong/Agent-Reach
Agent-Reach gives agents "eyes" on social and developer platforms without expensive APIs. It can read and search across Twitter, Reddit, YouTube, GitHub, Bilibili, and more from a single CLI.
aaif-goose/goose
Goose is an extensible coding agent that can install, run, edit, and test code with any chosen model. It’s designed to be a full engineer assistant, not just an autocomplete tool.
addyosmani/agent-skills
A curated set of engineering-grade skills for AI coding agents, from repo operations to performance checks. It focuses on predictable behavior, guardrails, and observability so teams can ship agent workflows with less fear.
mvanhorn/last30days-skill
An AI agent skill that scrapes Reddit, X, YouTube, Hacker News, Polymarket, and the web for the last 30 days, then synthesizes a grounded summary. Use it to replace generic web search with a behavior-driven snapshot of what real people and real money care about.
lfnovo/open-notebook
open-notebook recreates NotebookLM as an open-source app with more control and features. It lets you spin up your own AI notebook that reasons over your documents without being locked into a single provider.
huggingface/OpenEnv
OpenEnv is an interface library for training and evaluating reinforcement-learning style agents across many environments. It targets post-training, giving a cleaner way to plug modern models into classic RL-style tasks.
Leonxlnx/taste-skill
taste-skill acts as a style filter for generative models, steering them away from bland, generic output. You drop it into an agent and it scores drafts for "taste," nudging the system toward bolder, more specific writing.
chopratejas/headroom
Headroom compresses tool outputs, logs, and RAG chunks before they ever hit the model, often cutting tokens by 60–95%. It acts as a library, proxy, and MCP server so you can slash running costs without sacrificing answer quality.
openai/plugins
This repo holds reference implementations and tooling around the OpenAI plugin ecosystem. It’s a useful blueprint if you’re wiring agents into REST APIs or building your own plugin-like system.
NVIDIA/SkillSpector
SkillSpector scans AI agent skills for security problems, prompt injection vectors, and risky patterns. It aims to become the "lint" tool for agent skill stores as organizations start sharing and reusing skills at scale.
phuryn/pm-skills
A marketplace of 100+ production-ready skills and commands tuned for product management workflows. It gives coding agents concrete abilities across discovery, planning, launch, and growth without reinventing every skill from scratch.
refactoringhq/tolaria
Tolaria is a desktop app for managing markdown knowledge bases, often paired with local LLMs. It makes it easier to turn notes into an AI-ready memory store. Try it if your personal or team knowledge is scattered across files and you want AI on top.
RyanCodrai/turbovec
Turbovec is a vector index built on TurboQuant with Rust internals and Python bindings. It targets high-speed similarity search for embeddings. Drop it into your stack if your current vector store is the bottleneck.
NousResearch/hermes-agent
Hermes-agent is a popular agent framework built around modern open models. It focuses on long-running, tool-using workflows instead of single-shot chats. Use it as a reference if you’re assembling your own agent stack rather than wiring tools together ad hoc.
Crosstalk-Solutions/project-nomad
Project N.O.M.A.D is an offline "survival computer" stuffed with tools, knowledge, and AI models. It targets low-connectivity or crisis settings. This is a concrete template if you’re thinking about AI systems that must work without the cloud.
ggml-org/llama.cpp
llama.cpp keeps pushing local LLM performance on CPUs and small GPUs. It’s still the reference for running big models on modest hardware. If you care about running the AI cheaply or on-device, you should track every major change here.
opencv/opencv
Classic computer vision library still climbing the charts. It powers everything from simple image filters to production vision systems. If you touch images or video at all, you should know what OpenCV can now do alongside modern deep models.
yikart/AiToEarn
AiToEarn leans into the "AI plus crypto" wave, promising on-chain rewards for AI-powered tasks. Details aside, it shows how fast AI-native economic experiments are moving. Treat it as a sandbox if you’re exploring incentive designs for agent swarms.
colbymchenry/codegraph
Pre-indexed code knowledge graph tuned for AI coding tools like Claude Code, Cursor, and others. It cuts token usage and external tool calls by precomputing structure. If you’re scaling code assistants, this is a serious pattern for making them cheaper and faster.
hardikpandya/stop-slop
A skill file that strips obvious AI "tells" from text. It pushes models to sound less generic and more human. If you care about brand voice or passing AI detectors, this is a handy, if controversial, tool.
rohitg00/ai-engineering-from-scratch
Opinionated curriculum and code for going from zero to shipping AI products. Covers data, evaluation, serving, and real-world tradeoffs, not just models. If you’re training new hires or upskilling yourself, this is a solid backbone syllabus.
mukul975/Anthropic-Cybersecurity-Skills
A structured set of 700+ cybersecurity skills encoded for AI agents, mapped to major security frameworks. It’s basically a skills ontology for security agents. If you’re building defense-focused agents, this saves months of taxonomy work.
OpenBMB/VoxCPM
Tokenizer-free speech model for multilingual text-to-speech, voice design, and cloning. It skips text tokens entirely and works directly on audio representations. If you build voice products, this shows where foundation TTS models are heading.
anthropics/claude-code
Terminal-native coding agent that understands your repo, runs commands, and handles git via natural language. It’s a reference design for serious AI coding tools. If you’re building dev agents, study its workflows and safety checks before reinventing them.
harry0703/MoneyPrinterTurbo
One-click short-video generator powered by large language models and media models. Non-technical creators can go from idea to polished clips extremely fast. If you care about AI-native content workflows, this is a live example of how far automation has moved.
revfactory/harness
Meta-agent that designs domain-specific agent teams, defines their roles, and generates their skills. It treats agent setups as code, not ad-hoc prompts. If you’re scaling from one agent to many, this shows how to standardize the "harness" layer.
nesquena/hermes-webui
A web and mobile-friendly UI for the Hermes agent system. It lets non-engineers spin up task-running agents with a few clicks. If you’re experimenting with agents for teams, this is a fast way to test workflows without writing your own front-end.
D4Vinci/Scrapling
Adaptive web-scraping framework that scales from one-off fetches to large crawls. It’s designed to play nicely with AI agents that need to browse and extract data. If your agents keep breaking on websites, Scrapling is worth testing as the web layer.
anthropics/knowledge-work-plugins
Open set of plugins for knowledge workers using Claude in tools like Notion, Google Docs, and more. Encodes repeatable workflows as reusable skills. If you’re productizing AI at work, this is both a starter kit and a pattern for packaging tasks.
AIDC-AI/Pixelle-Video
End-to-end pipeline for fully automated short-form video creation with AI. Takes scripts or prompts to generate clips, edits, and captions. If you run content operations, this shows where AI video automation is headed in practice. ([github.com](https://github.com/trending/python?since=daily))
ruvnet/ruflo
Agent orchestration platform tuned for Claude-based systems. Focuses on multi-agent swarms, enterprise deployments, and built-in RAG and code workflows. If you’re standardizing on Claude for serious products, study this before rolling your own orchestrator. ([github.com](https://github.com/trending?since=daily))
Hmbown/DeepSeek-TUI
Terminal-based coding agent UI for DeepSeek models. Wraps an agentic workflow in a fast text interface aimed at power users. If you prefer tmux to web UIs, this is an easy way to live with an AI coding buddy. ([github.com](https://github.com/trending?since=daily))
langchain-ai/rag-from-scratch
Step-by-step notebooks for building retrieval-augmented generation systems without heavy frameworks. Walks through indexing, retrieval, and response patterns. If your team keeps misusing generic RAG libraries, force everyone to work through this once. ([github.com](https://github.com/trending/jupyter-notebook?since=daily))
ed-donner/agents
Course repo focused on agent-style systems: planning loops, tools, memory, and evaluation. Uses notebooks to walk from toy examples to more realistic workflows. If you’re new to agents, this pairs well with the theory-heavy surveys above. ([github.com](https://github.com/trending/jupyter-notebook?since=daily))
Q00/ouroboros
Positions itself as an "agent OS": specify tasks and constraints instead of hand-writing prompts. Aims to standardize how you define and compose agent behaviors. If you’re drowning in brittle prompt chains, this is a cleaner abstraction to copy. ([github.com](https://github.com/trending/python?since=daily))
TauricResearch/TradingAgents
Multi-agent LLM framework for algorithmic trading. Provides reusable components for data pipelines, strategy simulation, and coordinated agents across markets. If you experiment with AI trading, use this instead of gluing together notebooks. ([github.com](https://github.com/trending?since=daily))