🔴 High Significance

Model Releases

🔴 GPT 5.5 "secret sauce" is just having the thinking be some stupid caveman mode? — score 97 Sources: reddit/r/LocalLLaMA

I think I had GPT-5.5 leak its trace during a normal conversation, and it really reads like the caveman mode fad from a few months back. Maybe we can achieve better token efficiency by taking some high-quality thinking trace from an open model, "caveman-izing" it, and fine-tuning on it. Here is the

🔴 llama.cpp server have built-in native tools (exec_shell, edit_file, etc.) — score 77 Sources: reddit/r/LocalLLaMA

https://preview.redd.it/24uvk7o4sy2h1.png?width=1440&format=png&auto=webp&s=542570e3057b6f44c1e7e8d92130f575fb69cfa2 https://preview.redd.it/l4bbm7o4sy2h1.png?width=1440&format=png&auto=webp&s=3dc0edd978da23fecf81e86a269a06de643247d1 I was messing around with running local mo

🔴 Is there any reason for an uncensored model if you have no interest in roleplaying? — score 70 Sources: reddit/r/LocalLLaMA

My rag I've been building is much in response to having a LLM that I feel more confident in knowing where the knowledge base is coming from especially after the Open AI deal with the Pentagon. So, when I saw "uncensored" heretic models, I thought that was the main usage of those models and thought I

Developer Tools

🔴 Does GPU spacing matter if we’re undervolting anyways? — score 90 Sources: reddit/r/LocalLLaMA

How close can GPU cards be to each other on the mobo to remain safe and keep the hardware healthy over time? I have 4x 5060ti16gb cards in my mobo (I know 5060ti’s are not ideal when it comes to bandwidth, but I found a few at a decent price so it felt worth it at the time). They do fit on my mobo,

🔴 Have we passed the peak of inflated expectations? — score 83 Sources: reddit/r/LocalLLaMA

I noticed the number of people in this sub going down a bit and checked out some google trends. Any idea what's causing this sharp decline?

🔴 AI agents can run your company but they stop dead the second money needs to move — score 83 Sources: reddit/r/AIAgents

Agents can write emails, manage CRM, deploy code, handle support, generate invoices. The moment money needs to move wire out, card issued, vendor paid everything stops and a human steps back in. We've built autonomous ops stacks with a giant manual hole in the middle. Not because the technology wasn

🔴 multica-ai/multica — The open-source managed agents platform. Turn coding agents into real teammates — assign tasks, track progress, compound skills. — score 77 Sources: github_trending

The open-source managed agents platform. Turn coding agents into real teammates — assign tasks, track progress, compound skills.

🔴 Built a swarm-style multi-agent system in n8n with Telegram as the entry point — score 72 Sources: reddit/r/AIAgents

Built a swarm style multi agent system in n8n and have been experimenting with it lately. The idea was pretty simple. Instead of one AI agent trying to do everything, I wanted one parent agent that acts like a manager and routes requests to multiple specialized agents. The workflow starts with a Tel

Omitted 1 additional developer tools items from the main section; see raw data and source-specific sections below.

Other Signals

🔴 What are the best alternatives to Perplexity in 2026? — score 94 Sources: reddit/r/AIAgents

I’m a little disappointed, their search api has not improved in months, however their pricing keeps going up. We are a consumer software company and every cent spent in api have a pretty high multiplier since we have currently more than 300k users. We need high quality fresh data from multiple ATS s

🔴 Vision-capable LLMs vs. OCR for long-document (including charts, images, tables, etc.) QA — score 82 Sources: reddit/r/LocalLLaMA · reddit/r/MachineLearning

I benchmarked vision-capable LLMs (the "just attach the PDF and let the model read it" pattern) against OCR-based pipelines on 30 long, image-heavy PDFs from MMLongBench-Doc (https://github.com/mayubo2333/MMLongBench-Doc). There were 171 questions in

🟡 Notable

Model Releases

🟡 Run Chrome’s tiny Gemma4 (aka Gemini Nano) directly on PC without GPU — score 63 Sources: reddit/r/LocalLLaMA

Everyone remembers that sneaky download of Gemini Nano earlier this month? and if you talk to it, it will happily tell you it’s a Gemma. Since some friends were interested but don’t want to talk to it via dev tools like talking to some poor house elf via a keyhole on a locked door, made a 5 minute v

🟡 Qwen3.6-35B-A3B-Uncensored-Genesis-APEX-MTP — score 57 Sources: reddit/r/LocalLLaMA

Here model: https://huggingface.co/LuffyTheFox/Qwen3.6-35B-A3B-Uncensored-Genesis-V2-APEX-MTP-GGUF Safetensors: [https://huggingface.co/LuffyTheFox/Qwen3.6-35B-A3B-Uncensored-Genesis-V2-FP8-Safetensors](https:/

🟡 NVFP4 + MTP - voilà on llama.cpp — score 43 Sources: reddit/r/LocalLLaMA

As in title - NVFP4 + MTP at once on llama.cpp https://github.com/ggml-org/llama.cpp/releases/tag/b9297

Developer Tools

🟡 warpdotdev/warp — Warp is an agentic development environment, born out of the terminal. — score 64 Sources: github_trending

Warp is an agentic development environment, born out of the terminal.

🟡 Anyone struggling with smart credit resets for AI agents? — score 61 Sources: reddit/r/AIAgents

I’m working on a smart credit reset billing system for AI agents and would be happy to set it up for free in exchange for your production feedback. I’m not selling anything here. This is free for anyone open to sharing real-world feedback, and I’m happy to setup system in your side if it's useful. F

🟡 linshenkx/prompt-optimizer — An AI prompt optimizer for writing better prompts and getting better AI results. — score 46 Sources: github_trending

An AI prompt optimizer for writing better prompts and getting better AI results.

🟢 Incremental

Model Releases

🟢 llampart 1.0.0 - I released a standalone local web UI for llama-server with translations, extended settings and a polished conversation sidebar — score 23 Sources: reddit/r/LocalLLaMA

Hi everyone, I’ve just published the first public release of llampart 1.0.0: https://github.com/mchowy-troll/llampart llampart is a standalone local web UI designed to work with `llama-server`. It started from the `llama-ui` work in the `llama.cpp

Developer Tools

🟢 TTS Benchmark Comparison (all known TTS up until May 2026) — score 37 Sources: reddit/r/LocalLLaMA

I was tired of not having a proper TTS related benchmark that I can use and test for personal projects, so I had to make one. Hopefully this helps those looking for running local TTS tools. Has Windows and Mac results already. Linux will be tested shortly (have a 5900XT and 3090 workstation) Has an

🟢 crewAIInc/crewAI — Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks. — score 37 Sources: github_trending

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

🟢 ItzCrazyKns/Vane — Vane is an AI-powered answering engine. — score 37 Sources: github_trending

Vane is an AI-powered answering engine.

🟢 web-infra-dev/midscene — AI-powered, vision-driven UI automation for every platform. — score 34 Sources: github_trending

AI-powered, vision-driven UI automation for every platform.

🟢 What’s the best AI voice agent for inbound calls in 2026? — score 33 Sources: reddit/r/AIAgents

I’ve been testing multiple AI voice agents for inbound support, appointment booking, and lead qualification workflows. So far, LuMay Voice Agent has been one of the better options for real business use because the latency feels low, conversations stay stable longer, and the interruption handling

Omitted 10 additional developer tools items from the main section; see raw data and source-specific sections below.

Infrastructure & Compute

🟢 Command A+ (218B MoE) running on Apple Silicon — MLX port, PR open — score 30 Sources: reddit/r/LocalLLaMA

Cohere dropped Command A+ on the 20th (218B total / 25B active, 128 experts top-8, Apache 2.0). Wrote a cohere2_moe implementation for mlx-lm to get it running on Apple Silicon. Architecture notes for anyone digging into this model: - Single shared expert with a larger intermediate (16384 = 4096×4

🟢 OpenPipe/ART — Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more! — score 30 Sources: github_trending

Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!

Other Signals

🟢 pipeline is really slow - consulting [D] — score 26 Sources: reddit/r/MachineLearning

Hi, after a long debugging process and many discussions, I wanted to ask for advice from people who may have encountered similar training bottlenecks. My goal is imitation learning for robotics. Model / Pipeline * Observation space: * 4 RGB robot cameras * image resolution: 128x128x3 * small vector

🟢 Per-pixel bounding-box regression + DBSCAN for handwritten word detection - visual walkthrough of WordDetectorNet [P] — score 19 Sources: reddit/r/MachineLearning

Overview of WordDetectorNN architecture. Sharing a visual breakdown of WordDetectorNet, Harald Scheidl's handwritten-word detection model. I think the design choice at

🟢 Anyone down to test this? Just uploaded a model using rys — score 10 Sources: reddit/r/LocalLLaMA

Anyone down to test this? Just uploaded a uploaded a model with rys, looks pretty fun. https://huggingface.co/EidosL/Qwopus3.6-27B-v2-MTP-Q5_K_M-rys68.gguf Hey guys, just dropped this thing called rys and it seems like a bla

RepoDescriptionStars TodayLanguage
multica-ai/multicaThe open-source managed agents platform. Turn coding agents into real teammates — assign tasks, track progress, compound skills.410typescript
mukul975/Anthropic-Cybersecurity-Skills754 structured cybersecurity skills for AI agents · Mapped to 5 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND & NIST AI RMF · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 26 security domains · Apache 2.0281python
warpdotdev/warpWarp is an agentic development environment, born out of the terminal.138rust
linshenkx/prompt-optimizerAn AI prompt optimizer for writing better prompts and getting better AI results.78typescript
crewAIInc/crewAIFramework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.53python
ItzCrazyKns/VaneVane is an AI-powered answering engine.53typescript
web-infra-dev/midsceneAI-powered, vision-driven UI automation for every platform.49typescript
OpenPipe/ARTAgent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!44python
pydantic/pydantic-aiAI Agent Framework, the Pydantic way19python
databricks-solutions/ai-dev-kitDatabricks Toolkit for Coding Agents provided by Field Engineering4python

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