Trending AI/ML Projects
Unrestricted Open-source alternative to AI video platforms — Free AI image & video generation studio with 600+ models (Flux, Midjourney, Kling, Sora, Veo). No content filters. Self-hosted, MIT licensed.
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🕷️ The BEST Web Scraping framework that handles everything from a single request to a full-scale crawl! Don't be shy, join here: https://discord.gg/EMgGbDceNQ and follow here for daily tips and tricks: https://x.com/Scrapling_dev
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LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base. Register here 👇🏼
Learn ML engineering for free in 4 months! Register here 👇🏼
Turn Claude Code into a full game dev studio — 49 AI agents, 72 workflow skills, and a complete coordination system mirroring real studio hierarchy.
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35 production-grade agentic AI architectures (Reflexion, LATS, GraphRAG, MemGPT, Voyager, BrowserAgent, ...) — a Python library and runnable textbook with multi-provider LLM support and a 17-task benchmark leaderboard.
Sample code and notebooks for Generative AI on Google Cloud, with Gemini platform
Open source previs software in the browser: block a scene, pose characters, author camera moves and cuts, then take the same shots to an AI video model.
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TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.
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Auto Ontology is a Python framework for building semantic, graph-based reasoning layers over data. It enables deterministic query generation, better context retrieval, and more explainable AI for LLM and agent workflows.
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50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
Anti-AI-slop design skill for Claude Code, Cursor, and Codex.
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Paradev is an open-source Codex App and Conductor alternative. Orchestrate an army coding agents in parallel with your own subscriptions.
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🚀 PR Agent: The Original Open-Source PR Reviewer. This project is not the Qodo free tier.
Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.
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Open source repository of plugins primarily intended for knowledge workers to use in Claude Cowork
An OSINT tool to search for accounts by username and email in social networks.
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Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
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Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more
韩先凯的人生进阶指南 AI时代 中英双语终身学习指南：AI、学习 、创业、财富、爱情与人生
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World's first open-source, agentic video production system. 12 production pipelines, 100+ tools, 700+ agent skill and production-knowledge files. Turn your AI coding assistant into a full video production studio.
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Ceph is a distributed object, block, and file storage platform
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
A coding-agent skill for multi-phase security audits with independently verified, machine-readable findings
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Repo for the Complete Agentic AI Engineering Course
autonomous red teaming platform; multi-agent offensive-security meta-harness
Optimize prompts, code, and more with AI-powered Reflective Optimization
Git with a cup of tea! Painless self-hosted all-in-one software development service, including Git hosting, code review, team collaboration, package registry and CI/CD
Grafana Mimir provides horizontally scalable, highly available, multi-tenant, long-term storage for Prometheus.
Write HTML. Render video. Built for agents.
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Hyprland is an independent, highly customizable, dynamic tiling Wayland compositor that doesn't sacrifice on its looks.
RAGFlow is an agent-native database: a Retrieval-Augmented Generation (RAG) engine that grew into context infrastructure.
A collection of agent skills that help you build great interfaces.
AI Kanban & Development Environment. Orchestrate multiple agents, review changes, open PRs. Multi-provider, self-hostable, no telemetry.
Production-Grade Container Scheduling and Management
🤯 LobeHub - Super-Agents on Your Team. Add super-agents to the chats your team already uses.They take on work by themselves and get better every week.
Skills for Real Engineers. Straight from my .agents directory.
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Worktrunk is a CLI for Git worktree management, designed for parallel AI agent workflows
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Open-source AI sales OS — self-hosted CRM with native AI agents + WhatsApp (WAHA). Open alternative to Kommo, Octadesk & Intercom for any business that sells by chat. MCP-ready, multi-tenant, LGPD.
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An open source design system that's fully customizable and agent ready
A library that provides an embeddable, persistent key-value store for fast storage.
Open-Source Frontier Voice AI
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ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
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List of Permanent Free LLM API (API Keys)
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The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems
Reverse engineer anything with agents, from app behavior down to native binaries.
Make humans and AI agents work as one team — open-source and self-hostable.
A local-first desktop workspace for persistent AI teammates. Run Codex, Claude, and Grok with dedicated workspaces, task queues, file sharing, browser control, and agent-to-agent collaboration.
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The open-source communication infrastructure for agents and products
The fundamental package for scientific computing with Python.
An agentic skills framework & software development methodology that works.
Open Policy Agent (OPA) is an open source, general-purpose policy engine.
OpenAI Plugins
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A unified cross-platform AI client supporting seamless transitions between standard cloud APIs and on-device, offline execution of custom and uncensored language models.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
The design vocabulary for your coding agent. Steer with polish and bolder, review with critique and audit, catch AI slop before it ships.
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TiDB is built for agentic workloads that grow unpredictably, with ACID guarantees and native support for transactions, analytics, and vector search. No data silos. No noisy neighbors. No infrastructure ceiling.
The open-source context layer for AI agents. PipesHub turns your company's knowledge (Slack, Drive, Jira, GitHub, Microsoft 365 and 50+ connectors) into a permission-aware workspace that agents can search, grep, navigate and cite. MCP, SDKs and built-in agents. Self-hosted.
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Python packaging and dependency management made easy
Ruby on Rails
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Hunt down social media accounts by username across social networks
Your design system as an API. Connect AI to Figma for extraction, creation, and debugging.
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Orca lets you run a fleet of coding agents (e.g. Claude Code, Codex) with your own subscription. Available on desktop, mobile and remote runtime.
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web development, streamlined
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A utility-first CSS framework for rapid UI development.
Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More
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Build infinite canvas apps in React with the tldraw SDK. World's best, top-most agent recommended #1 five star SDK.
Latest AI Research Articles
Summary
When Claude Code ignores a rule, the usual move is to reword it. Start with the verb, use backticks...
Core Contributions
- When Claude Code ignores a rule, the usual move is to reword it.
- Start with the verb, use backticks....
Code Example
```python
# Example implementation
import torch
import numpy as np
class Model(torch.nn.Module):
def __init__(self):
super().__init__()
self.linear = torch.nn.Linear(10, 1)
def forward(self, x):
return self.linear(x)
model = Model()
inputs = torch.randn(1, 10)
outputs = model(inputs)
```
Summary
How a single AGENTS.md or CLAUDE.md file in your Downloads folder or a pull request can silently hijack your AI coding agent, steal OAuth tokens, and execute shell commands—plus how to lock down your local workflow.
Core Contributions
- How a single AGENTS.md or CLAUDE.md file in your Downloads folder or a pull request can silently hijack your AI coding agent, steal OAuth tokens, and execute shell commands—plus how to lock down your local workflow..
Summary
From a multi-agent testing experiment to a broader discussion about how engineering teams should...
Core Contributions
- From a multi-agent testing experiment to a broader discussion about how engineering teams should....
Summary
If you want agents to do what you want, you need to learn how to box them into deterministic actions....
Core Contributions
- If you want agents to do what you want, you need to learn how to box them into deterministic actions.....
Summary
Summary
Have you ever had a dev server running, and then asked your coding agent to test something in that...
Core Contributions
- Have you ever had a dev server running, and then asked your coding agent to test something in that....
Summary
Why do New Caledonian crows bend wire into hooks with zero training while a trillion-parameter LLM flies straight into the same production bug zapper? How Anthony Zador's Genomic Bottleneck explains what 'instinct' really is in AI coding agents.
Core Contributions
- Why do New Caledonian crows bend wire into hooks with zero training while a trillion-parameter LLM flies straight into the same production bug zapper? How Anthony Zador's Genomic Bottleneck explains what 'instinct' really is in AI coding agents..
Summary
Code Example
```python
# Example implementation
import torch
import numpy as np
class Model(torch.nn.Module):
def __init__(self):
super().__init__()
self.linear = torch.nn.Linear(10, 1)
def forward(self, x):
return self.linear(x)
model = Model()
inputs = torch.randn(1, 10)
outputs = model(inputs)
```
Summary
Other professions worked out what a signature has to mean. We're about to need their answer. A few...
Core Contributions
- Other professions worked out what a signature has to mean.
- We're about to need their answer.
Summary
Code Example
```python
# Example implementation
import torch
import numpy as np
class Model(torch.nn.Module):
def __init__(self):
super().__init__()
self.linear = torch.nn.Linear(10, 1)
def forward(self, x):
return self.linear(x)
model = Model()
inputs = torch.randn(1, 10)
outputs = model(inputs)
```
Summary
How my workflow evolved from solo prompting in AI Studio to managing a multi-model AI team, running...
Core Contributions
- How my workflow evolved from solo prompting in AI Studio to managing a multi-model AI team, running....
Summary
A few weeks ago we teamed up with Kaggle to ask a deceptively simple question: how do you actually...
Core Contributions
- A few weeks ago we teamed up with Kaggle to ask a deceptively simple question: how do you actually....
Summary
The worst AI code isn't the code that crashes. Code that crashes, you notice. The worst one looks...
Core Contributions
- The worst AI code isn't the code that crashes.
- Code that crashes, you notice.
- The worst one looks....
Code Example
```python
# Example implementation
import torch
import numpy as np
class Model(torch.nn.Module):
def __init__(self):
super().__init__()
self.linear = torch.nn.Linear(10, 1)
def forward(self, x):
return self.linear(x)
model = Model()
inputs = torch.randn(1, 10)
outputs = model(inputs)
```
Summary
A tour of the A2A CLI against Rust agents on A2A v1.0: the official Rust SDK, a plain stdin/stdout program wrapped by a2a server --exec, and an ADK coordinator on Gemini, each timed from the CLI and from a Rust client.
Core Contributions
- A tour of the A2A CLI against Rust agents on A2A v1.0: the official Rust SDK, a plain stdin/stdout program wrapped by a2a server --exec, and an ADK coordinator on Gemini, each timed from the CLI and from a Rust client..
Code Example
```python
# Example implementation
import torch
import numpy as np
class Model(torch.nn.Module):
def __init__(self):
super().__init__()
self.linear = torch.nn.Linear(10, 1)
def forward(self, x):
return self.linear(x)
model = Model()
inputs = torch.randn(1, 10)
outputs = model(inputs)
```
Summary
The ideal contributor As an open-source maintainer, you imagine the ideal contributor as...
Core Contributions
- The ideal contributor As an open-source maintainer, you imagine the ideal contributor as....
Summary
WebMCP is a proposed web standard that, at least to me, looks very promising. I already played around...
Core Contributions
- WebMCP is a proposed web standard that, at least to me, looks very promising.
- I already played around....
Summary
Hacktoberfest 2026 wrapped up on October 31st! Thank you to everyone who built, hosted, mentored,...
Core Contributions
- Hacktoberfest 2026 wrapped up on October 31st! Thank you to everyone who built, hosted, mentored,....
Summary
Background I have a primary LINE Bot that I use heavily every day:...
Core Contributions
- Background I have a primary LINE Bot that I use heavily every day:....
Summary
Fayaz reminds everyone why we should keep doing deep intellectual and creative works.
Core Contributions
- Fayaz reminds everyone why we should keep doing deep intellectual and creative works.
Summary
I kept running into the same problem while learning about large language models. I'd read a blog...
Core Contributions
- I kept running into the same problem while learning about large language models.
- I'd read a blog....
Summary
Weren't we supposed to be replaced by AI by now? Or at least work less? AI agents were supposed to...
Core Contributions
- Weren't we supposed to be replaced by AI by now? Or at least work less? AI agents were supposed to....
Summary
If you give an AI a vague prompt, it will give you a confident answer. And that confidence will cost...
Core Contributions
- If you give an AI a vague prompt, it will give you a confident answer.
- And that confidence will cost....
Summary
As AI agents become increasingly capable, I've noticed a growing number of discussions questioning...
Core Contributions
- As AI agents become increasingly capable, I've noticed a growing number of discussions questioning....
Summary
What racking wine teaches about agent memory The mead's lees on October 21, with the racking cane...
Core Contributions
- What racking wine teaches about agent memory The mead's lees on October 21, with the racking cane....
Summary
On October 31 at 15:15 Eastern I asked my agent about something that never happened. It was a planted...
Core Contributions
- On October 31 at 15:15 Eastern I asked my agent about something that never happened.
- It was a planted....
Summary
A model writes the change. A model reviews the change and says it looks good. The pull request now...
Core Contributions
- A model writes the change.
- A model reviews the change and says it looks good.
- The pull request now....
Code Example
```python
# Example implementation
import torch
import numpy as np
class Model(torch.nn.Module):
def __init__(self):
super().__init__()
self.linear = torch.nn.Linear(10, 1)
def forward(self, x):
return self.linear(x)
model = Model()
inputs = torch.randn(1, 10)
outputs = model(inputs)
```
Summary
Last month I finished one of the largest side project of my career — an open-source framework, docs,...
Core Contributions
- Last month I finished one of the largest side project of my career — an open-source framework, docs,....
Summary
Why maintaining six separate parsers for Make, Gherkin, EBNF, DOT, SysV, and prompt checklists collapsed into a single Smalltalk-80 keyword cascade—and how 40-year-old Xerox PARC technology gave AI coding agents mathematical zero-amnesia.
Core Contributions
- Why maintaining six separate parsers for Make, Gherkin, EBNF, DOT, SysV, and prompt checklists collapsed into a single Smalltalk-80 keyword cascade—and how 40-year-old Xerox PARC technology gave AI coding agents mathematical zero-amnesia..
Summary
Server software grew up around one assumption: the machine stays awake. People post screenshots of...
Core Contributions
- Server software grew up around one assumption: the machine stays awake.
- People post screenshots of....
Code Example
```python
# Example implementation
import torch
import numpy as np
class Model(torch.nn.Module):
def __init__(self):
super().__init__()
self.linear = torch.nn.Linear(10, 1)
def forward(self, x):
return self.linear(x)
model = Model()
inputs = torch.randn(1, 10)
outputs = model(inputs)
```
Summary
The incident that never shows up in your deploy log Here is a scenario that's easy to...
Core Contributions
- The incident that never shows up in your deploy log Here is a scenario that's easy to....
Summary
Every public profile you own says something slightly different about you. A step by step guide to treating your bio as source code, with one file, one tracker and an agent skill that checks the live sites.
Core Contributions
- Every public profile you own says something slightly different about you.
- A step by step guide to treating your bio as source code, with one file, one tracker and an agent skill that checks the live sites..
Code Example
```python
# Example implementation
import torch
import numpy as np
class Model(torch.nn.Module):
def __init__(self):
super().__init__()
self.linear = torch.nn.Linear(10, 1)
def forward(self, x):
return self.linear(x)
model = Model()
inputs = torch.randn(1, 10)
outputs = model(inputs)
```
Summary
At MCP Dev Summit Toronto, Accenture's Michael Forrester told a story about an employee who wanted...
Core Contributions
- At MCP Dev Summit Toronto, Accenture's Michael Forrester told a story about an employee who wanted....
Summary
If you grew up in Nigeria, there is one sentence that can stop your heart in the middle of...
Core Contributions
- If you grew up in Nigeria, there is one sentence that can stop your heart in the middle of....