๐Ÿ”ด High Significance

Developer Tools

๐Ÿ”ด millionco/react-doctor โ€” Your agent writes bad React. This catches it โ€” score 87 Sources: github_trending

Your agent writes bad React. This catches it

๐Ÿ”ด One thing I didnโ€™t expect after building AI agents for businesses. โ€” score 83 Sources: reddit/r/AIAgents

Most companies donโ€™t actually know where automation should begin. They usually come in asking for: an AI employee a smart assistant a fully autonomous agent But after mapping their operations, the real bottleneck is often something much smaller. Things like: - leads sitting unanswered for hours -

๐Ÿ”ด lsdefine/GenericAgent โ€” Self-evolving agent: grows skill tree from 3.3K-line seed, achieving full system control with 6x less token consumption โ€” score 79 Sources: github_trending

Self-evolving agent: grows skill tree from 3.3K-line seed, achieving full system control with 6x less token consumption

๐Ÿ”ด I built a framework where multi-agent swarms are YAML files, not code. โ€” score 74 Sources: reddit/r/AIAgents

I work on enterprise projects where you have thousands of documents, dozens of APIs, configuration dumps, and project code scattered across different systems. Last year I needed multi-agent setups to make sense of all this and kept running into the same problem: every time I wanted to change who doe

Other Signals

๐Ÿ”ด 80 tok/sec and 128K context on 12GB VRAM with Qwen3.6 35B A3B and llama.cpp MTP โ€” score 88 Sources: reddit/r/LocalLLaMA

Just wanted to share my config in hopes of helping other 12GB GPU owners achieve what I see as very respectable token generation speeds with modest VRAM. Using the latest llama.cpp build + MTP PR, I got over 80 tok/sec with 80%+ draft acceptance rate on the benchmark found here: [https://gist.github

๐Ÿ”ด Apple Removes 256GB M3 Ultra Mac Studio Model From Online Store โ€” score 81 Sources: reddit/r/LocalLLaMA

Getting really worried about the m5 Ultra. From removing 512gb -> 256gb -> 96gb.

๐Ÿ”ด BeeLlama.cpp: advanced DFlash & TurboQuant with support of reasoning and vision. Qwen 3.6 27B Q5 with 200k context on 3090, 2-3x faster than baseline (peak 135 tps!) โ€” score 73 Sources: reddit/r/LocalLLaMA

TL;DR New llama.cpp fork! I wanted a Windows-friendly inference to run Qwen 3.6 27B Q5 on a single RTX 3090 with speculative decoding, high context without excess quantization, and vision enabled. No option did this out of the box for me without VRAM and/or tooling issues (this was before MTP PR

๐ŸŸก Notable

Model Releases

๐ŸŸก NVIDIA AI Releases Star Elastic: One Checkpoint that Contains 30B, 23B, and 12B Reasoning Models with Zero-Shot Slicing โ€” score 65 Sources: reddit/r/LocalLLaMA

I saw this on another sub and didn't see it posted here, it looks awesome, and can definitely be run local. I guess it was released 11 days ago, but it never hit the top of my feed (which I look at way too often), so posting it again. # This is my take on it: Think of this as like scalable video cod

๐ŸŸก Pi and Qwen3.6 27B make setting up Archlinux really easy. โ€” score 58 Sources: reddit/r/LocalLLaMA

Just thought I'd share this use case. I was setting up a miniPC as a home theatre with Archlinux (It's the OS I'm most familiar with). I needed to twiddle some things and am not yet familiar with wayland (I'm trying our hyprland, but normally rock i3). So, I installed pi coding agent, pointed it at

๐ŸŸก More Qwen3.6-27B MTP success but on dual Mi50s โ€” score 42 Sources: reddit/r/LocalLLaMA

TLDR: The hype is real! 1.5x speedup. Up to 2x speedup with tensor parallelism! After reading the PR I immediately hunted for MTP-compatible Q4_1 quants (they offer a small speedup on these compute-lacking older cards) but couldn't find any. Luckily I came across [this](https://www.reddit.com/r

Developer Tools

๐ŸŸก What is an average publication outcome for an ML PhD? [D] โ€” score 69 Sources: reddit/r/MachineLearning

I know publication count is not everything, and quality, contribution, advisor/lab culture, subfield, and luck all matter a lot. But to make the comparison easier, Iโ€™m curious about the publication-count side specifically. For an ML PhD, what would you consider an average publication outcome by grad

๐ŸŸก openai/codex โ€” Lightweight coding agent that runs in your terminal โ€” score 69 Sources: github_trending

Lightweight coding agent that runs in your terminal

๐ŸŸก heygen-com/hyperframes โ€” Write HTML. Render video. Built for agents. โ€” score 67 Sources: github_trending

Write HTML. Render video. Built for agents.

๐ŸŸก hesreallyhim/awesome-claude-code โ€” A curated list of awesome skills, hooks, slash-commands, agent orchestrators, applications, and plugins for Claude Code by Anthropic โ€” score 58 Sources: github_trending

A curated list of awesome skills, hooks, slash-commands, agent orchestrators, applications, and plugins for Claude Code by Anthropic

๐ŸŸก rowboatlabs/rowboat โ€” Open-source AI coworker, with memory โ€” score 55 Sources: github_trending

Open-source AI coworker, with memory

Omitted 2 additional developer tools items from the main section; see raw data and source-specific sections below.

Infrastructure & Compute

๐ŸŸก sgl-project/sglang โ€” SGLang is a high-performance serving framework for large language models and multimodal models. โ€” score 58 Sources: github_trending

SGLang is a high-performance serving framework for large language models and multimodal models.

Other Signals

๐ŸŸก Running Minimax 2.7 at 100k context on strix halo โ€” score 50 Sources: reddit/r/LocalLLaMA

Just wanted to share because it took me a lot of tweaking to get here: llama-server -hf unsloth/MiniMax-M2.7-GGUF:UD-IQ3_XXS --temp 1.0 --top-k 40 --top-p 0.95 --host 0.0.0.0 --port 8080 -c 100000 -fa on -ngl 999 --no-context-shift -fit off --no-mmap -np 2 --kv-unified --cache-ram 0 -b 1024 -ub 1024

๐ŸŸก LLMs corrupt your documents when you delegate โ€” score 50 Sources: hackernews

๐ŸŸก EEML 2026 summer school [D] โ€” score 44 Sources: reddit/r/MachineLearning

Has anyone accepted to EEML 2026 summer school?

๐ŸŸข Incremental

Model Releases

๐ŸŸข Building a AI teacher-assistance software, Assistance needed. โ€” score 39 Sources: reddit/r/AIAgents

Ok, so I have multiple school teachers in my family, so I have an exposure to what problems they face (in teaching, obviously, idc about admin stuff). So I thought of building an AI worksheet generator (idea under development). Claude helped me build a beautiful backend, and through it, I discovered

๐ŸŸข Would a community-driven AI agent lab help people actually ship agents? โ€” score 39 Sources: reddit/r/AIAgents

Iโ€™m validating an idea and would like honest criticism from people building or studying AI agents. A pattern I keep seeing: people test LangChain, CrewAI, AutoGen, OpenAI tools, Claude, local LLMs, n8n, MCP servers, etc., but very few actually ship a working agent into a real workflow. My hypothesis

๐ŸŸข Exactly a year ago, I started working on an MCP server I launched on reddit that became by far my most active open source project! โ€” score 35 Sources: reddit/r/LocalLLaMA

This isn't an advertisement, and it's very much local and open - I already don't have enough time to keep up with the existing pull requests and issues... just a fond look back on how much this space has grown and matured in the past year. Shit was the wild west back then. Nowadays I can run gemma4

๐ŸŸข Gemini API File Search is now multimodal โ€” score 30 Sources: hackernews

๐ŸŸข I am overwhelmed by Harnesses โ€” score 27 Sources: reddit/r/LocalLLaMA

What do i choose? They all have their good but then some features don't work then i end up breaking more with claude code. Is there one harness that rules them all out there for llama cpp??

Omitted 2 additional model releases items from the main section; see raw data and source-specific sections below.

Developer Tools

๐ŸŸข As now many companies have started integrating agents in their operations and still question about reliability? โ€” score 39 Sources: reddit/r/AIAgents

Most companies are still in their beta version and rolling out features integrated with AI to a set of customers now as they too high many reasons for this. I'm trying to figure out how the companies are going to keep track of whether the system has been reliable or not? Any teams or folks out their

๐ŸŸข LangChain vs custom wrappers, when did you realize you needed to drop the framework? โ€” score 39 Sources: reddit/r/AIAgents

When I first started messing around with LLM agents, langchain seemed like absolute magic. It felt like I could hook up memory, tools, and chains in five lines of code. But over the last few weeks of building something slightly more complex, itโ€™s been driving me crazy. The abstractions are so deep t

๐ŸŸข Devs building agents... what's actually breaking for you in production? โ€” score 39 Sources: reddit/r/AIAgents

I've been going deep on prompt engineering as a control mechanism for agents and I'm working on something that makes certain behaviors more explicit and deterministic rather than relying on instruction following. Before I narrow down where to focus, I want to hear from people actually in the trenche

๐ŸŸข Most AI workflows drift because state slowly becomes implicit. โ€” score 39 Sources: reddit/r/AIAgents

Most AI workflow systems drift over time because state slowly becomes implicit. Not because the models fail, but because: * summaries mutate, * assumptions harden, * artifacts lose provenance, * and inference becomes impossible to inspect afterward. Weโ€™ve been experimenting with: * explicit continui

๐ŸŸข vellum-ai/vellum-assistant โ€” A personal AI assistant that evolves with you. Memory, personality, proactive reach-outs โ€” across macOS, Telegram, and Slack. โ€” score 37 Sources: github_trending

A personal AI assistant that evolves with you. Memory, personality, proactive reach-outs โ€” across macOS, Telegram, and Slack.

Omitted 7 additional developer tools items from the main section; see raw data and source-specific sections below.

Enterprise Adoption

๐ŸŸข Gen Z Resentment Toward AI Grows as Adoption Stagnates and Workplace Fears Mount โ€” score 10 Sources: hackernews

Other Signals

๐ŸŸข The gap between knowing something and actually understanding it โ€” AI accelerated my learning curve โ€” score 19 Sources: reddit/r/LocalLLaMA

I've been experimenting with setting up local LLMs lately, and here's what hit me hard: Just because it's cheap to build something doesn't mean you should. If a compatible tool already exists for your use case, use it first. Only roll your own once you've confirmed the existing option falls short. I

๐ŸŸข Anyone Trying to submit for ICML FM4LS workshop but noticed link closed Early? [D] โ€” score 6 Sources: reddit/r/MachineLearning

I was trying to submit to ICML FM4LS workshop but noticed that openreview is not accepting submissions any more? although the deadline listed on the website is end of day May 9th AoE. Was there any communication that

๐ŸŸข Homelab setup โ€” score 4 Sources: reddit/r/LocalLLaMA

Hi everyone, I've been running local models on a MacBook Pro M3 Max with 128GB RAM for a while, and I've recently been thinking about improving my setup. What would make more sense, having a ~7-8K budget? 1- Another MBP (M5 Max) with 128GB, then set up an Exo cluster with my M3 for a total of 256GB

RepoDescriptionStars TodayLanguage
millionco/react-doctorYour agent writes bad React. This catches it806typescript
lsdefine/GenericAgentSelf-evolving agent: grows skill tree from 3.3K-line seed, achieving full system control with 6x less token consumption538python
openai/codexLightweight coding agent that runs in your terminal383rust
heygen-com/hyperframesWrite HTML. Render video. Built for agents.345typescript
sgl-project/sglangSGLang is a high-performance serving framework for large language models and multimodal models.153python
hesreallyhim/awesome-claude-codeA curated list of awesome skills, hooks, slash-commands, agent orchestrators, applications, and plugins for Claude Code by Anthropic153python
rowboatlabs/rowboatOpen-source AI coworker, with memory144typescript
jingyaogong/minimind๐Ÿง ใ€Œๅคงๆจกๅž‹ใ€2ๅฐๆ—ถๅฎŒๅ…จไปŽ0่ฎญ็ปƒ64M็š„ๅฐๅ‚ๆ•ฐLLM๏ผTrain a 64M-parameter LLM from scratch in just 2h!112python
HKUDS/ViMax"ViMax: Agentic Video Generation (Director, Screenwriter, Producer, and Video Generator All-in-One)"108python
vellum-ai/vellum-assistantA personal AI assistant that evolves with you. Memory, personality, proactive reach-outs โ€” across macOS, Telegram, and Slack.54typescript

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