DeepSeek Harness is an agent harness where every component... is a plugin, built on Cordis for spatiotemporal composability. Run it via `npx deepseek-ai/dsh web` to get a local Web UI at port 3080. Explore it here:show more

DeepSeek DeepSeek is now live on Heurist. Open source... AI just reached new heights. Access DeepSeek-R1 and DeepSeek-V3 for smarter inference at a fraction of cost. Try it via Heurist API or explore on Pondera.show more

DEEPSEEK ACABA DE MATAR TODA LA INDUSTRIA DEL CODING... AGENT Se llama deepseek-harness Es el framework mas completo para crear agentes de codigo Open source. El plan mas completo de Claude cuesta $200 al mes. Esto es GRATIS Y viene con una idea brutal Todo es un plugin El modelo Las tools El sandbox La UI Hasta el propio loop del agente Puedes cambiar cualquiera de esas piezas solo modificando la configuracion Sin tocar el codigo base Un solo comando y tienes la interfaz web local: npx deepseek-ai/dsh web Compatible con DeepSeek, Claude, GPT, Gemini y lo que quieras enchufar Llego a mas de 160 mil estrellas en pocos dias Un laboratorio frontier acaba de soltar gratis la capa exacta que otras empresas estan vendiendo como producto premium Te dejo el repo en los comentariosshow more

Building a harness to run scans with an agent.... It is absolutely garbage. Completely useless. There’s literally 0 benefit to using it over plain Claude Code. Everything it can do, you can just do via Skills etc. Many were preaching the benefits of a harness, but I’m not sure.show more

We're giving you a $10 coupon to build on... Ori Harness this weekend What will you build? Run your favorite agent - Claude Code, Codex, DeepSeek, and more - with 500+ models, 70+ providers, all in one account, on OpenRouter Redeeming is easy:show more

Here is an AI-native browser. You gotta see how... this works! Honestly, I'm still wrapping my head around this. This web browser: • Integrates an AI agent on every page • Can navigate on autopilot • It can even use web apps for you! Check out this video:show more

A harness turns a model into an agent. At... it’s core it provides 4 things: - a system prompt - tools - an agentic loop - a translation layer across models New blog post from Earendil co-founder colin on what a harness is, and how you can own yours. Full post belowshow more

You guys asked for a tutorial, so here it... is. Animated Apple-style websites FULLY with AI, perfect for web and UI work. Let's break it down step-by-step below. Prompts included.show more

Check this!! A 100% open-source toolkit to work with... LLMs. Transformer Lab is an app to experiment with LLMs: - Train, fine-tune, or chat. - One-click LLM download (DeepSeek, Gemma, etc.) - Drag-n-drop UI for RAG. - Built-in logging, and more. 100% local!show more

The internet is about to change forever. Google just... launched a mind-blowing AI agent. It browses the web for you. Here’s what that actually means:show more

New open-source agent harness just landed! I got early... access to TrueForge by TrueFoundry and have been running it locally for the past few days. The harness layer deserves as much attention as the model, and open source matters here because you can inspect the loop, run it on your own infrastructure, and swap to the latest or cheaper models. TrueForge handles the runtime work that makes an agent reliable. It drives the tool-calling loop, manages context, coordinates subagents, and executes code in a sandbox, with any model you choose. Every tool call re-sends the growing context to the model, so in practice the harness controls most of what an agent costs to run. A few things stood out from my testing and their published benchmarks. Vendor-Neutral by design. It runs OpenAI, Anthropic, and Google models alongside open-weight models like Kimi, GLM, and DeepSeek. Model routing is a setting, and you can send each task to the model that fits it. On a 14-task enterprise agent benchmark, it matched the accuracy of Claude Managed Agents running the same Opus 4.8 model at roughly 30% lower cost per run (3.8M tokens vs 10M for the same answers). Routing the same tasks to GLM-5.2 held accuracy and brought cost down by about 75%, around $3 per run instead of $12. Fully self-hosted and Open Source (MIT License). I had it running locally with one command, with sandboxed code execution working out of the box. It's time to own your agent harness. Thanks to TrueFoundry for partnering on this post.show more

Big win for open-source LLMs! DeepSeek V4 Pro holds... the top open-weights score on SWE-bench Verified, in the GPT-5.5 range. GLM 5.2 leads the open-weight intelligence index and sits near the closed frontier on long-horizon coding. But this leaderboard number is a weak proxy for real performance. It comes from one task set, run through one harness, served at one precision. The same weights can even score differently across providers, since many hosts quantize activations to fp8 and drift the model off its reference weights. Real performance is determined based on whether a model can read a repo, make coordinated edits across files, run the tests, and recover when one breaks. By that measure, the top open models hold up, but only inside the right harness. The teams that actually put DeepSeek V4 into production pipelines as a frontier substitute got there through the harness they built around the model, not by picking a stronger model. If you want to see this in practice, Cline (64k+ stars) has actually built that harness around open models, tuned so they run at production quality. And it's tuned so that these LLMs can run at production quality, with plan and act modes, checkpoints, and terminal feedback. ClinePass is the new access layer on top of it. It runs a curated set of those models inside Cline, narrowed to the ones tested for coding-agent use, with 2 to 5x the standard rate limits and no separate provider accounts, keys, or billing to track. The video below shows the setup, and I worked with the team to put this together. It runs alongside custom keys and local models as well, not in place of them.show more

You built an app, nice But no one knows... about it. And the vibe is a bit... default. You need a brand. We built a skill for founders to generate distinct brands for any app. Create assets for web, social, app store, ads, and UI with a cohesive aesthetic Skill below 👇show more

Claude Code is running on a remote server, along... with the web app it just built. You’re on your phone. You can still open localhost:3000 in Safari or Chrome. Just create a local port forwarding rule in Termius and securely tunnel the remote port to your device. No public ports. No extra setup.show more

DeepSeek R1 is *the* best model available right now.... It's at the level of o1, but you can use it for free, and it's much faster. A huge leap forward that nobody saw coming. No wonder so many people are throwing tantrums online trying to discredit the Chinese students who built this. You can use DeepSeek in Visual Studio Code right now: 1. Install the Qodo Gen AI extension 2. Select DeepSeek R1 from their list of models The Qodo team is hosting DeepSeek on their servers, so none of your data will go to China. I've been building a Tetris game using DeepSeek, and this is the most impressive model I've seen so far.show more

What I love about Replit ⠕. Low floor to... get started. Ultra high ceiling for what you can build. I told Agent to build a native C application that runs on my desktop without a web browser - AND compile it into JavaScript to run in the web browser. Here's a video showing both runningshow more

this is the best trick to maximum usage limits... on chatgpt codex codex's best kept secret is that your main agent doesn't have to do everything... custom agents are just files in ~/.codex/agents, and one file gives you a second worker on deepseek v4 flash > create ~/.codex/agents/deepseek-worker.toml > set model = "opencode-go/deepseek-v4-flash" with model_reasoning_effort = "max" > keep it bounded: one task packet, no scope creep, report back ```toml name = "deepseek_worker" description = "bounded implementation, testing, and cleanup on deepseek v4 flash" model = "opencode-go/deepseek-v4-flash" model_reasoning_effort = "max" ``` then @ deepseek_worker in the composer... your root agent plans while the worker ships the implementation planning on the main model, execution on the flash lane... that's the whole trick (we run this exact file, last i checked it keeps the heavy turns off the main thread)show more

🚨 Alibaba just open sourced a GUI agent that... lives inside your webpage and controls it with natural language. It's called Page Agent and it's not a browser extension. It's pure JavaScript no Python, no Puppeteer, no headless browser, no screenshots. Just one script tag and your web app understands natural language. Here's what it actually does: → Embed it with a single tag or npm install → Control any web interface with plain English commands → Text-based DOM manipulation no OCR, no vision models needed → Bring your own LLM (GPT, Claude, Qwen, anything) → Ships a built-in UI with human-in-the-loop support → Turn 20-click ERP/CRM workflows into one sentence → Optional Chrome extension for multi-tab agent tasks → Works on any web app SaaS, admin panels, internal tools Companies are charging $30/month for AI copilots built on this exact idea. This is 3 lines of code. Your users. Your interface. The AI copilot layer for every web app just got open sourced. 1.6K stars. 100% Open Source. (Link in the comments)show more

Meet Teamily AI, the team brain where humans +... agents get 10X results. Hero feature: Auto-built agent teams 🤖 Mention Teamily AI with your project goal and it assembles a pro agent team to work in parallel. Why Teamily: - Universal Memory: shared AI Drive across chats/devices - Agent Identity: persistent personas + reputation - Integrated Surface: Automations, Studio, Meeting Minutes - Discover Ecosystem: agent market to try/share agents Join: Web: iOS: Android: Follow Teamily AI for updates.show more