AgentSkills @CodeTrendr

🚨BREAKING: Someone just solved Claude Code's biggest problem. It's called Claude-Mem and it gives Claude persistent memory across sessions. - You can use up to 95% fewer tokens each time. - Make 20 times more tool calls before reaching limits. 100% Opensource.

Stop buying $600 mac minis! Run @openclaw for $5 on Cloudflare Workers github.com/cloudflare/mol…

Introducing Agentic Vision, a new capability in Gemini 3 Flash. Agentic Vision makes Gemini even better at analyzing complex images, enabling it to more accurately and consistently read fine details, like serial numbers or text on a complex diagram. See what it can do. 🧵

🎉🎉🎉 Kimi K2.5 is on Ollama's cloud ollama run kimi-k2.5:cloud You can connect it to Claude Code, Codex, OpenCode, Clawdbot, and Droid via ollama launch! ollama launch claude --model kimi-k2.5:cloud

Kimi.ai @Kimi_Moonshot

7 months ago

🥝 Meet Kimi K2.5, Open-Source Visual Agentic Intelligence. 🔹 Global SOTA on Agentic Benchmarks: HLE full set (50.2%), BrowseComp (74.9%) 🔹 Open-source SOTA on Vision and Coding: MMMU Pro (78.5%), VideoMMMU (86.6%), SWE-bench Verified (76.8%) 🔹 Code with Taste: turn chats,

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@rsasaki0109 Wow, I think someone are waiting it for years! Great job

🏗️ Most 3D reconstruction papers evaluate novel views by applying an optimal color correction using the ground-truth image. That's circular and unrealistic. PPISP directly predicts camera parameters from the rendered radiance alone, using an ISP controller trained on input views. ✨Result: metrics that don't require access to target images, aligning evaluation with real-world deployment. ➡️ github.com/nerfstudio-pro…

Full Stack Folder Structure. Grab the Modern Full Stack Latest Edition Handbook: codewithdhanian.gumroad.com/l/fzqjct

💥🍌3D Nano Banana just dropped! ✨We just launched #Rodin Gen-2 "Edit", upload ANY model and edit like magic: 1️⃣ Smart Low-poly → artist-style topology 2️⃣ Local edits via prompt (Beta) 3️⃣ BANG to Parts 4️⃣+ more #Hyper3D is now the FIRST true #3D GenAI editing platform! 🚀

Big moment for Postgres! Search has always been Postgres' weak spot, and everyone just accepted it. If you needed a real relevance-ranked keyword search, the default answer was to spin up Elasticsearch or add Algolia and deal with the data sync headaches forever. The problem isn't that Postgres can't do text search. It can. But the built-in `ts_rank` function uses a basic term frequency algorithm that doesn't come close to what modern search engines deliver. So teams end up: - Running a separate Elasticsearch cluster just for search - Building sync pipelines that inevitably drift out of consistency - Paying for managed search services that charge per query - Accepting mediocre search relevance because "good enough" ships faster But this is actually a solvable problem. You can realistically bring industry-standard search ranking directly into Postgres, which eliminates the need for external infra entirely. This exact solution is now available with the newly open-sourced pg_textsearch by @TigerDatabase, a Postgres extension that brings true BM25 relevance ranking into the database. BM25 is the algorithm behind Elasticsearch, Lucene, and most modern search engines. Now it runs natively in Postgres. Here's what pg_textsearch enables: - True BM25 ranking with configurable parameters (the same algorithm powering production search systems) - Simple SQL syntax: `ORDER BY content <@> 'search terms'` - Works with Postgres text search configurations for multiple languages - Pairs naturally with pgvector for hybrid keyword + semantic search That last point matters a lot for RAG apps. The video below shows this in action, and I worked with the team to put this together. You can now do hybrid retrieval (combining keyword matching with vector similarity) in a single database, without stitching together multiple systems. The syntax is clean enough that you can add relevance-ranked search to existing queries in minutes. pg_textsearch is fully open-source under the PostgreSQL license. You can find a link to their GitHub repo in the next tweet.

🚀 ERNIE 5.0 is officially live! Supporting text, image, audio, and video inputs & outputs, ERNIE 5.0 ranks in the top tier across multiple authoritative benchmarks. ✅ 2.4T total parameters ✅ Stronger language & multimodal understanding ✅ Image & video generation on par with specialized domain models 👉Try it now: Chat: ernie.baidu.com Playground: aistudio.baidu.com API: console.bce.baidu.com/qianfan/modelc…

Excited to launch Pencil INFINITE DESIGN CANVAS for Claude Code > Superfast WebGL canvas, fully editable, running parallel design agents > Runs locally with Claude Code → turn designs into code > Design files live in your git repo → Open json-based .pen format

Developer Week Day 2. 🛠️ We just gave your Coding Agent a Design Degree🎓🎨 Introducing the Stitch MCP Server. 🔌 You can now pipe Stitch designs directly into your favorite tools like Antigravity. * Generate new screens without leaving your IDE * Fetch the code from any design * Inject context: Give your agent full visual awareness Docs and more information 👇

The World API is live. Generate persistent, explorable 3D worlds from text, images, and video. Integrate them directly into your products.

The @Walmart Immersive Commerce SDK is now available! Bring real-world products into gameplay by integrating Walmart items or your own marketplace merchandise directly into your experience without breaking immersion. Start building today: on.unity.com/Walmart

Image to 3D, now in ANY pose! 🤸‍♂️ Simply upload your image + a pose reference photo. Meshy generates the model to match it perfectly. No complex rigging needed. Create 3D characters your way.

NVIDIA just removed one of the biggest friction points in Voice AI. PersonaPlex-7B is an open-source, full-duplex conversational model. Free, open source (MIT), with open model weights on @huggingface 🤗 Links to repo and weights in 🧵↓ The traditional ASR → LLM → TTS pipeline forces rigid turn-taking. It’s efficient, but it never feels natural. PersonaPlex-7B changes that. This @nvidia model can listen and speak at the same time. It runs directly on continuous audio tokens with a dual-stream transformer, generating text and audio in parallel instead of passing control between components. That unlocks: → instant back-channel responses → interruptions that feel human → real conversational rhythm Persona control is fully zero-shot! If you’re building low-latency assistants or support agents, this is a big step forward 🔥

🚀 LightOnOCR-2-1B 🦉 is out, a major update to LightOnOCR. 1B parameters, end-to-end multilingual OCR, and it beats models 9× larger on OlmOCR-Bench while being much faster. PDF/page in, clean ordered Markdown out, with optional image localization (bbox variants).

Introducing ShapeR, a method for robust conditional 3D shape generation from casually captured sequences. ShapeR leverages a rectified flow transformer conditioned on per-object multimodal data to turn casual image sequences into full metric scene reconstructions. Project Page: facebookresearch.github.io/ShapeR Paper: arxiv.org/abs/2601.11514 Links to code and huggingface below ⬇️

@averycode Even though we don’t know each other, I send you my best wishes for your brave decision.

@GaryCann10 @magicleap @FIIKSA @Google Fully agree!