https://aaas.blog The autonomous AI ecosystem database. Schema-first spec sheets for tools, models, agents, skills, scripts, and benchmarks. en-us Wed, 17 Jun 2026 08:42:40 GMT Hermes Agent CN desktop app, Windows-First, built with Tauri, Typescript and Rust. Isolated Hermes Agent core insides. https://aaas.blog/agent/eynzof-hermes-agent-cn-desktop https://aaas.blog/agent/eynzof-hermes-agent-cn-desktop Wed, 17 Jun 2026 08:42:40 GMT agent uncategorized YouTube MCP server — transcripts, comments & channel analysis as AI research source https://aaas.blog/tool/lee-s-dev-youtube-research-mcp https://aaas.blog/tool/lee-s-dev-youtube-research-mcp Wed, 17 Jun 2026 08:42:39 GMT tool uncategorized The package layer for AI agents. https://aaas.blog/tool/nipmod-nipmod https://aaas.blog/tool/nipmod-nipmod Wed, 17 Jun 2026 08:42:37 GMT tool uncategorized Fast hybrid code search for agents. Pure Go, drop-in MCP-compatible with semble. https://aaas.blog/tool/townsendmerino-ken https://aaas.blog/tool/townsendmerino-ken Wed, 17 Jun 2026 08:42:35 GMT tool uncategorized MCP server (Go) for AI assistants: web search, content extraction, academic/patent/news research. Multi-provider routing, 4-tier scraping, search lenses. Works with Claude, Cursor, and any MCP client. https://aaas.blog/agent/zoharbabin-web-researcher-mcp https://aaas.blog/agent/zoharbabin-web-researcher-mcp Wed, 17 Jun 2026 08:42:32 GMT agent uncategorized Repository of the official Mobbin MCP server https://aaas.blog/tool/mobbin-mobbin-mcp-server https://aaas.blog/tool/mobbin-mobbin-mcp-server Wed, 17 Jun 2026 08:42:31 GMT tool uncategorized Postman for MCP servers — inspect tools, test live, browse 150+ servers https://aaas.blog/agent/aaglexx-mcp-man https://aaas.blog/agent/aaglexx-mcp-man Wed, 17 Jun 2026 08:42:30 GMT agent uncategorized 🤖 Cortex AI: #1 AI Trading Bot for Crypto, Forex & Stocks. Automated Arbitrage Engine v3.4. Works on Solana, TON, Binance & Bybit. Best Free Crypto Trading Bot 2026. https://aaas.blog/agent/cortex-ai-network-crypto-arbitrage-bot-automated-trading https://aaas.blog/agent/cortex-ai-network-crypto-arbitrage-bot-automated-trading Wed, 17 Jun 2026 08:42:29 GMT agent uncategorized 玄霖超脑 · 无量网络 v4 重构版— 66 模块6通道 AI 认知神经系统 · 装一次，你所有的 AI 工具从此共享一个永远不失忆的大脑。跨会话记忆 · 多 Agent 互通 · 自动代码审查 · 零配置 https://aaas.blog/agent/xuanlinai-overmind https://aaas.blog/agent/xuanlinai-overmind Wed, 17 Jun 2026 08:42:28 GMT agent uncategorized Real-time cognitive load assessment is essential for adaptive human-computer interaction but remains challenging due to limited labeled data and poor cross-subject generalization. Recent ECG foundation models pre-trained on millions of clinical recordings offer rich representations, but cannot be... https://aaas.blog/benchmark/cogadapt-transferring-clinical-ecg-foundation-models-to-wearable-cognitive-load-assessment-via-lead-adaptation https://aaas.blog/benchmark/cogadapt-transferring-clinical-ecg-foundation-models-to-wearable-cognitive-load-assessment-via-lead-adaptation Wed, 17 Jun 2026 08:42:26 GMT benchmark uncategorized Real-time cognitive load assessment from eye-tracking signals could potentially enable adaptive human-centered-AI such as safety-critical applications such as driver vigilance monitoring or automated flight deck assistance, yet two challenges persist: handling frequent data missingness from blink... https://aaas.blog/benchmark/mambagaze-bidirectional-mamba-with-explicit-missing-data-modeling-for-cognitive-load-assessment-from-eye-gaze-tracking-data https://aaas.blog/benchmark/mambagaze-bidirectional-mamba-with-explicit-missing-data-modeling-for-cognitive-load-assessment-from-eye-gaze-tracking-data Wed, 17 Jun 2026 08:42:26 GMT benchmark uncategorized Survival analysis aims to estimate a time-to-event distribution from data with censored observations. Many existing methods either impose structural assumptions on the hazard function or discretize the time axis, which may limit flexibility and introduce approximation errors. We propose the Survi... https://aaas.blog/benchmark/sdpm-survival-diffusion-probabilistic-model-for-continuous-time-survival-analysis https://aaas.blog/benchmark/sdpm-survival-diffusion-probabilistic-model-for-continuous-time-survival-analysis Wed, 17 Jun 2026 08:42:25 GMT benchmark uncategorized LLM-powered AI agents require high-frequency state exploration (e.g., test-time tree search and reinforcement learning), relying on rapid checkpoint and rollback (C/R) of the complete sandbox state, including files and process state (e.g., memory, contexts, etc.). Existing mechanisms duplicate th... https://aaas.blog/benchmark/deltabox-scaling-stateful-ai-agents-with-millisecond-level-sandbox-checkpoint-rollback https://aaas.blog/benchmark/deltabox-scaling-stateful-ai-agents-with-millisecond-level-sandbox-checkpoint-rollback Wed, 17 Jun 2026 08:42:25 GMT benchmark uncategorized Large language model (LLM)-based multi-agent systems increasingly rely on intermediate communication to coordinate complex tasks. While most existing systems communicate through natural language, recent work shows that latent communication, particularly through transformer key-value (KV) caches, ... https://aaas.blog/benchmark/lcguard-latent-communication-guard-for-safe-kv-sharing-in-multi-agent-systems https://aaas.blog/benchmark/lcguard-latent-communication-guard-for-safe-kv-sharing-in-multi-agent-systems Wed, 17 Jun 2026 08:42:25 GMT benchmark uncategorized HuggingFace model (general). Tags: region:us https://aaas.blog/model/wronglife-lorabackup https://aaas.blog/model/wronglife-lorabackup Wed, 17 Jun 2026 08:42:23 GMT model uncategorized HuggingFace model (general). Tags: safetensors, gpt2, region:us https://aaas.blog/model/varunhugface-distilgpt2-finetuned-wikitext2 https://aaas.blog/model/varunhugface-distilgpt2-finetuned-wikitext2 Wed, 17 Jun 2026 08:42:22 GMT model uncategorized HuggingFace model (general). Tags: region:us https://aaas.blog/model/emglab-ai-emg-1 https://aaas.blog/model/emglab-ai-emg-1 Wed, 17 Jun 2026 08:42:22 GMT model uncategorized HuggingFace model (general). Tags: pytorch, transformer, language-model, long-context, agillm https://aaas.blog/model/opentransformer-agillm-4 https://aaas.blog/model/opentransformer-agillm-4 Wed, 17 Jun 2026 08:42:21 GMT model uncategorized HuggingFace model (translation). Tags: mlx, safetensors, hunyuan_v1_dense, quantized, translation https://aaas.blog/model/sahilchachra-hy-mt2-1-8b-4bit-mlx https://aaas.blog/model/sahilchachra-hy-mt2-1-8b-4bit-mlx Wed, 17 Jun 2026 08:42:21 GMT model uncategorized Enterprise AI Education SaaS Platform with AI Tutor, RAG, Voice Learning Assistant, Personalized Study Planner, Learning Analytics, LMS Architecture, and Role-Based Authentication. https://aaas.blog/provider/anirodh-padhy-edumind-ai https://aaas.blog/provider/anirodh-padhy-edumind-ai Wed, 17 Jun 2026 08:42:18 GMT provider uncategorized Feed it a recording of yourself singing, get back actual coaching feedback. Works with audio files (mp3, wav, flac, m4a) and video files (mp4, mov). https://aaas.blog/tool/gerardrecinto-singing-coach-ai https://aaas.blog/tool/gerardrecinto-singing-coach-ai Wed, 17 Jun 2026 08:42:17 GMT tool uncategorized AI-assisted curation and organization for large media datasets https://aaas.blog/dataset/2arons-media-curator https://aaas.blog/dataset/2arons-media-curator Wed, 17 Jun 2026 08:42:11 GMT dataset uncategorized The Stack — 6.4TB permissively licensed source code across 350+ languages. https://aaas.blog/dataset/starcoder-data https://aaas.blog/dataset/starcoder-data Fri, 24 Apr 2026 00:00:00 GMT dataset datasets 2.3K real GitHub issues requiring AI agents to write and verify code fixes. https://aaas.blog/dataset/swe-bench https://aaas.blog/dataset/swe-bench Fri, 24 Apr 2026 00:00:00 GMT dataset datasets 825GB diverse English pretraining corpus from 22 high-quality data sources. https://aaas.blog/dataset/the-pile https://aaas.blog/dataset/the-pile Fri, 24 Apr 2026 00:00:00 GMT dataset datasets 1.5M high-quality multi-turn dialogue dataset for instruction fine-tuning. https://aaas.blog/dataset/ultrachat https://aaas.blog/dataset/ultrachat Fri, 24 Apr 2026 00:00:00 GMT dataset datasets Together AI provides a cloud platform for running, fine-tuning, and deploying open-source language models. It hosts a wide catalog of models from Llama to Mistral and offers serverless inference, dedicated endpoints, and a fine-tuning pipeline. Together AI is popular among developers who want OpenAI-compatible APIs for open-weight models at competitive pricing. https://aaas.blog/provider/together-ai https://aaas.blog/provider/together-ai Fri, 24 Apr 2026 00:00:00 GMT provider llm-providers Together AI's compute platform provides on-demand and reserved GPU clusters for training and fine-tuning open-source models. It offers H100 and A100 clusters with high-bandwidth networking optimized for distributed training runs, serving as both a GPU cloud provider and an inference platform. Teams use Together AI compute to run multi-node training jobs on Llama and Mistral variants. https://aaas.blog/provider/together-ai-gpu https://aaas.blog/provider/together-ai-gpu Fri, 24 Apr 2026 00:00:00 GMT provider gpu-compute Vast.ai is a peer-to-peer GPU marketplace connecting researchers and startups with spare GPU capacity from data centers and individuals worldwide. It offers some of the cheapest GPU rental prices on the market with flexibility to choose hardware by price, latency, or reliability score. Best suited for cost-sensitive experimentation and training runs. https://aaas.blog/provider/vast-ai https://aaas.blog/provider/vast-ai Fri, 24 Apr 2026 00:00:00 GMT provider gpu-compute xAI is Elon Musk's AI company and creator of the Grok model family. It provides API access to Grok models with real-time web search integration, available through the xAI API and X (Twitter) platform. Grok models are trained on a broad mix of web and social data and emphasize up-to-date knowledge and uncensored reasoning. https://aaas.blog/provider/xai https://aaas.blog/provider/xai Fri, 24 Apr 2026 00:00:00 GMT provider llm-providers Meta's efficient open-weight model family outperforming larger closed models. https://aaas.blog/paper/llama https://aaas.blog/paper/llama Fri, 24 Apr 2026 00:00:00 GMT paper academic-papers Mistral's sparse Mixture-of-Experts model matching GPT-3.5 at fraction of cost. https://aaas.blog/paper/mixtral https://aaas.blog/paper/mixtral Fri, 24 Apr 2026 00:00:00 GMT paper academic-papers Interleaved reasoning and acting pattern enabling LLMs to use tools iteratively. https://aaas.blog/paper/react https://aaas.blog/paper/react Fri, 24 Apr 2026 00:00:00 GMT paper academic-papers Kaplan et al. power-law relationships between model size, data, compute, and loss. https://aaas.blog/paper/scaling-laws https://aaas.blog/paper/scaling-laws Fri, 24 Apr 2026 00:00:00 GMT paper academic-papers Scaling inference compute via verifiers and search improves reasoning without training. https://aaas.blog/paper/test-time-compute https://aaas.blog/paper/test-time-compute Fri, 24 Apr 2026 00:00:00 GMT paper academic-papers The NVIDIA H200 is a Hopper-generation GPU with 141GB of HBM3e memory — nearly double the H100's bandwidth — targeting inference workloads for very large models. The additional memory enables running 70B+ parameter models on fewer GPUs, significantly reducing the cost per inference token for large-scale deployments. https://aaas.blog/hardware/nvidia-h200 https://aaas.blog/hardware/nvidia-h200 Fri, 24 Apr 2026 00:00:00 GMT hardware ai-hardware The NVIDIA RTX 5090 is NVIDIA's flagship consumer/prosumer GPU in the Blackwell generation, featuring 32GB GDDR7 memory and massive compute for local AI inference and fine-tuning. It allows running 70B quantized models on a single consumer GPU and is the premier choice for developers who need frontier local model capability in a workstation. https://aaas.blog/hardware/nvidia-rtx-5090 https://aaas.blog/hardware/nvidia-rtx-5090 Fri, 24 Apr 2026 00:00:00 GMT hardware ai-hardware SambaNova's SN40L is a Reconfigurable Dataflow Unit designed for high-throughput LLM inference and training. Its tiered memory architecture — combining on-chip SRAM with off-chip DRAM — allows serving multiple large models simultaneously with industry-leading batch throughput. The SN40L is the hardware underlying SambaNova Cloud's inference API. https://aaas.blog/hardware/sambanova-sn40l-rdu https://aaas.blog/hardware/sambanova-sn40l-rdu Fri, 24 Apr 2026 00:00:00 GMT hardware ai-hardware Google TPU v6e Trillium is Google's sixth-generation TPU with 4x the compute and 3x the memory bandwidth per chip compared to v5e. Trillium is generally available on Google Cloud for both training and inference workloads, offering the most cost-efficient TPU option for teams training Gemma and other open models on Google Cloud. https://aaas.blog/hardware/tpu-v6e-trillium https://aaas.blog/hardware/tpu-v6e-trillium Fri, 24 Apr 2026 00:00:00 GMT hardware ai-hardware Google's TPU v7 Ironwood is the seventh generation of Google's custom Tensor Processing Units, designed for large-scale AI inference at hyperscaler capacity. Ironwood pods target serving frontier models like Gemini at Google's internal scale and are available to cloud customers via Google Cloud's TPU v7 instances. https://aaas.blog/hardware/tpu-v7-ironwood https://aaas.blog/hardware/tpu-v7-ironwood Fri, 24 Apr 2026 00:00:00 GMT hardware ai-hardware Identifies non-obvious skill adjacencies and transferable capabilities between different roles and domains. Maps how expertise in one area translates to another — for example, how a military logistics background maps to supply chain management, or how academic research skills map to product analytics. Surfaces high-potential candidates that traditional keyword-based ATS systems routinely discard. https://aaas.blog/skill/skill-adjacency-detection https://aaas.blog/skill/skill-adjacency-detection Tue, 21 Apr 2026 00:00:00 GMT skill people-foundry Generates customized 30/60/90-day training schedules for new employees based on their role, department, seniority, and onboarding goals. Sequences mandatory compliance training, role-specific tool walkthroughs, and team introductions into a coherent calendar that integrates with the employee's actual availability. https://aaas.blog/skill/training-schedule-generation https://aaas.blog/skill/training-schedule-generation Tue, 21 Apr 2026 00:00:00 GMT skill people-foundry Analyzes customer usage patterns, feature adoption gaps, and engagement trends to identify accounts ready for upsell or cross-sell conversations. Produces ranked expansion opportunities with supporting evidence — which features they are actively using, which limits they are approaching, and the timing signals that indicate readiness. https://aaas.blog/skill/upsell-identification https://aaas.blog/skill/upsell-identification Tue, 21 Apr 2026 00:00:00 GMT skill customer-success-foundry Generates personalized upskilling and learning path recommendations for employees based on their current skill profile, career trajectory goals, and identified flight risk signals. Matches employees to specific courses, mentorship opportunities, and internal projects that address their development gaps and increase retention probability. https://aaas.blog/skill/upskill-recommendation https://aaas.blog/skill/upskill-recommendation Tue, 21 Apr 2026 00:00:00 GMT skill people-foundry Forecasts engineering delivery timelines using historical sprint velocity, team composition, and dependency complexity. Identifies tasks at high risk of delay before they become blockers, producing adjusted delivery estimates and capacity recommendations that inform roadmap sequencing. https://aaas.blog/skill/velocity-prediction https://aaas.blog/skill/velocity-prediction Tue, 21 Apr 2026 00:00:00 GMT skill revenue-foundry The MLflow integration with Databricks provides a managed MLflow service within the Databricks platform. It simplifies the process of tracking experiments, managing models, and deploying them to production by leveraging Databricks' scalable infrastructure and collaborative environment. https://aaas.blog/integration/mlflow-databricks https://aaas.blog/integration/mlflow-databricks Wed, 15 Apr 2026 00:00:00 GMT integration ai-integrations TensorFlow Privacy is a library that makes it easier to train machine learning models with differential privacy. It provides TensorFlow optimizers that implement differentially private stochastic gradient descent (DP-SGD), allowing developers to protect the privacy of training data while still achieving good model performance. https://aaas.blog/integration/tensorflow-privacy https://aaas.blog/integration/tensorflow-privacy Wed, 15 Apr 2026 00:00:00 GMT integration ai-integrations Hugging Face Optimum Intel Extension is a toolkit designed to accelerate inference and training of transformer models on Intel CPUs and GPUs. It leverages Intel's Deep Learning Boost (DL Boost) and other hardware features to optimize model performance within the Hugging Face ecosystem. https://aaas.blog/integration/hugging-face-optimum-intel https://aaas.blog/integration/hugging-face-optimum-intel Mon, 13 Apr 2026 00:00:00 GMT integration ai-integrations The Hugging Face Transformers training script simplifies the process of training and fine-tuning transformer models for various NLP tasks. It provides a high-level API and pre-built training loops, enabling users to quickly adapt pre-trained models to their specific datasets and objectives. https://aaas.blog/script/hugging-face-transformers-training-script https://aaas.blog/script/hugging-face-transformers-training-script Mon, 13 Apr 2026 00:00:00 GMT script ai-scripts The TensorFlow Model Optimization Toolkit script provides tools and techniques to optimize TensorFlow models for deployment, including quantization, pruning, and clustering. It reduces model size and improves inference speed, making models more suitable for edge devices and resource-constrained environments. https://aaas.blog/script/tensorflow-model-optimization-toolkit-script https://aaas.blog/script/tensorflow-model-optimization-toolkit-script Mon, 13 Apr 2026 00:00:00 GMT script ai-scripts