A curated collection of noteworthy tools, articles, and resources from across the web — searchable, organized, and enriched with AI analysis.
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Stop Begging for Links. Build the Content Asset everyone links to.
Call the typed Cua Driver SDK directly from Python or TypeScript without a daemon.
Pinned stock Qwen3.8-27B NVFP4 + DFlash2 recipe and measured evidence for one NVIDIA DGX Spark - sxuff/qwen38-27b-nvfp4-dflash2-dgx-spark
Building a small document classifier with an agent, then using Hugging Face Jobs to label 1% of the English FinePDFs-Edu dataset.
Might seem simple on the face of it, but unfortunately it’s pain all the way down.
Orca is the ADE for working with a fleet of parallel agents. Run any coding agent with your own subscription. Available on desktop, mobile and remote runtime. - stablyai/orca
We’re making a part of our multi-agent research harness available to try today in preview.
Agent-driven research knowledge base. Agents collect, search, and synthesize web research into a persistent, searchable wiki. - jordan-gibbs/hyperresearch
Give your agent 74 SEO reports that run locally across crawling, Search Console, Google Analytics, keyword research, competitors, programmatic SEO, AI search, and monitoring.
Most SEO tools tell you what to do. /seo does it: each run measures your site, ranks every possible action on one scale (fix a wrong claim, repair a broken redirect, refresh a page sitting at position 8, consolidate duplicates, write the next piece, build a free tool, get cited by ChatGPT), and executes the single best one. It scores its own past actions against your site’s real numbers, so a month in, it knows which moves work on your site and which don’t.
exoharness is a minimal architecture for building agents. It separates trusted state, resources, and security from agent-specific logic.
Full Linux VM sandboxes with hardware-level isolation. Long-running, checkpoint and fork, resize at runtime.
Organizations are moving beyond single-model AI toward multi-agent architectures. In these systems, agents offload intermediate results to files rather than carrying everything in the prompt, because a large prompt inflates cost and degrades quality. A model’s context window is finite, so files become working memory that persists after a session ends. In multi-agent systems, a […]
Opinionated Oxlint rules for rejecting low-evidence TypeScript and JavaScript patterns - dmmulroy/anti-slop
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki. - Tencent/WeKnora
OpenRouter for agent tools. Join community here: https://discord.gg/6mQYYfFMAn - superdesigndev/treg
Use Astra as orchestrator and Luna for subagents in Codex - donvito/codex-astra-luna-orchestrator
A dependency free and extensible Java library for styling and beautifying terminal output - kusoroadeolu/Clique
libGDX is a cross-platform Java game development framework based on OpenGL (ES) that works on Windows, Linux, macOS, Android, your browser and iOS.
Guide, document and practical tips for getting the most out of the Ling model series. - inclusionAI/ling-cookbook
The ripgrep of AI context: a zero-dependency C++23 CLI + MCP server giving coding agents a ranked, deterministic map of any repo, blast radius, tests-to-run and quality deltas. Signatures at 80% fe…
Create professional app demo videos in minutes. Auto cursor follow, zooms, text scenes, 3D mockups, AI voiceover, music, and more.
Trigram-indexed grep with a client/server architecture for fast regex search in large codebases locally - microsoft/tgrep