[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fD95647zpMPspJL7xZQpdudW9GEawHmHGgePLb3chVmU":3,"tool-prime-intellect":16},{"siteName":4,"siteDescription":5,"siteUrl":6,"contactEmail":7,"socialLinks":8,"analyticsCode":10,"seo":11},"AllAI App","Call 500+ AI models through one compliant API KEY. Discover 35,000+ AI tools across 21 categories. Compare, test all ai app in one platform.","https:\u002F\u002Fallaiapp.com","contact@allaiapp.com",{"twitter":9,"github":9,"discord":9,"linkedin":9,"youtube":9},"","\u003C!-- Google tag (gtag.js) -->\n\u003Cscript async src=\"https:\u002F\u002Fwww.googletagmanager.com\u002Fgtag\u002Fjs?id=G-3NJE4SY4LE\">\u003C\u002Fscript>\n\u003Cscript>\n  window.dataLayer = window.dataLayer || [];\n  function gtag(){dataLayer.push(arguments);}\n  gtag('js', new Date());\n\n  gtag('config', 'G-3NJE4SY4LE');\n\u003C\u002Fscript>\n\u003C!-- Baidu Tongji (hm.js) -->\n\u003Cscript>\nvar _hmt = _hmt || [];\n(function() {\n  var hm = document.createElement(\"script\");\n  hm.src = \"https:\u002F\u002Fhm.baidu.com\u002Fhm.js?ee51358c8d4491dea1125cfc1d47a169\";\n  var s = document.getElementsByTagName(\"script\")[0];\n  s.parentNode.insertBefore(hm, s);\n})();\n\u003C\u002Fscript>",{"titleTemplate":12,"metaKeywords":13,"ogImage":14,"twitterSite":9,"defaultRobots":15,"googleVerify":9,"bingVerify":9,"baiduVerify":9,"organizationLogo":14},"%s | AllAI App","AI KEY,AI API KEY,Deepseek Key,Chatgpt Key,OpenAi Key,AI tools, AI directory, AI API gateway, AI models, artificial intelligence,","https:\u002F\u002Fallaiapp.com\u002Fog-image.png","index, follow",{"tool":17,"related":194},{"slug":18,"name":19,"cnName":9,"cn_name":9,"url":20,"pricingUrl":20,"github":9,"logo":21,"category":22,"subcategory":9,"categories":23,"pricing":24,"priceFrom":25,"accent":26,"platforms":27,"inputs":29,"outputs":31,"languages":32,"tags":35,"capabilities":38,"rating":25,"votes":25,"reviewCount":25,"saves":25,"monthlyVisits":39,"foundedYear":25,"founded":9,"developer":9,"status":40,"editorPick":41,"featured":41,"verified":41,"screenshots":42,"screenshot":43,"videoUrl":9,"downloadLinks":46,"commentsCount":25,"createdAt":47,"source":48,"addedAt":49,"lastUpdated":49,"updatedAt":49,"en":50,"zh":116,"socialLinks":181,"siteHealth":186},"prime-intellect","Prime Intellect","https:\u002F\u002Fprimeintellect.ai","https:\u002F\u002Fimage.moge.ai\u002Ffavicon\u002Fprime-intellect.png","code",[22],"paid",0,"#6366F1",[28],"Web",[30],"Text",[30],[33,34],"English","中文",[36,37],"ai-developer-tools","ai-agent-development",[],292696,"active",false,[43,44,45],"https:\u002F\u002Fimage.moge.ai\u002Fscreen\u002Fprime-intellect.jpg","https:\u002F\u002Fcdn.prod.website-files.com\u002F66239f0441b09824acb92c75\u002F695eff0f1166146a932d7aca_og-prime-intellect-v2.jpg","https:\u002F\u002Fwww.primeintellect.ai\u002F_next\u002Fimage?url=%2Fblog%2Fnanogpt-frontier%2Ffrontier-preview.jpg&w=3840&q=75&dpl=dpl_8PkxcPN9wuAK2uM2RDa2g1KPBM1h",[],"2026-09-21T00:00:00Z","moge.ai","2026-09-21",{"tagline":51,"description":52,"features":53,"pros":72,"cons":73,"useCases":74,"pricingTiers":90,"faq":91},"Full-stack platform for training, evaluating, and deploying custom AI models through integrated compute, RL environments, and inference.","Prime Intellect is an open superintelligence stack that lets developers and enterprises train, evaluate, deploy, and continuously improve their own AI models rather than depending solely on closed frontier-lab APIs. The platform ties together a global GPU compute marketplace, a community-driven Environments Hub with over 2,500 reinforcement learning environments, hosted training through its Lab product, and dedicated or serverless inference with native LoRA support. Teams can turn any task into a trainable RL environment, benchmark models on public leaderboards, and feed production traces back into new training runs, closing the loop between deployment and model improvement. Prime Intellect also open-sources core research tooling, including the Verifiers library, the Prime-RL asynchronous training framework, and Prime Agent, a self-improving coding agent.",[54,57,60,63,66,69],{"title":55,"desc":56},"RL Environments & Environments Hub","Turn any task into a reinforcement learning environment with the open-source Verifiers library and Prime CLI, then draw on 2,500+ community environments spanning coding, science, and search tasks.",{"title":58,"desc":59},"Hosted Evaluations","Benchmark 100+ open-source models on a public leaderboard with zero infrastructure setup, useful for choosing or validating a model before deployment.",{"title":61,"desc":62},"Hosted Training (Lab)","Train large-scale agentic models across thousands of RL environments through managed workflows, with full visibility and support from Prime Intellect's applied research team.",{"title":64,"desc":65},"Flexible Inference with LoRA","Deploy fine-tuned models via one-click dedicated capacity, pay-per-token LoRA adapter serving, or OpenAI-compatible serverless APIs for base models.",{"title":67,"desc":68},"Global GPU Compute Marketplace","Access on-demand H100, H200, B200, B300, and other GPUs from a single node to large reserved clusters across 50+ providers, with SLURM\u002FK8s orchestration and Infiniband networking.",{"title":70,"desc":71},"Prime Agent","An open-source, self-improving coding harness built on Recursive Language Models and a Continual Harness, letting agents refine their own prompts, memory, and sub-agents across long-running sessions.",[],[],[75,78,81,84,87],{"user":76,"desc":77},"Custom Agent Training","Teams train small, task-specific RL subagents that can outperform frontier models on narrow workflows at a fraction of the cost, as Ramp did for spreadsheet search.",{"user":79,"desc":80},"Model Benchmarking","Research teams use hosted evaluations to compare open-source model performance on public leaderboards before selecting a model for deployment.",{"user":82,"desc":83},"Production-to-Training Loops","Businesses capture production traces, convert high-value failures into new environments or evals, and train adapters that make deployed models cheaper and more reliable.",{"user":85,"desc":86},"Long-Horizon Autonomous Coding","Developers use Prime Agent for extended coding, research, and evaluation tasks that require persistent memory, sub-agent orchestration, and self-refining harness state.",{"user":88,"desc":89},"Distributed Large-Scale Training","AI labs and startups run large-scale asynchronous reinforcement learning across GPU clusters using the Prime-RL framework and Prime Intellect's compute layer.",[],[92,95,98,101,104,107,110,113],{"q":93,"a":94},"What is Prime Intellect?","Prime Intellect is a full-stack 'open superintelligence stack' offering compute, RL training environments, hosted training, and inference so teams can build and continuously improve their own AI models.",{"q":96,"a":97},"What is the Environments Hub?","A community marketplace of 2,500+ open-source reinforcement learning environments usable for evaluation, RL training, synthetic data generation, or distillation.",{"q":99,"a":100},"What is Prime Agent?","Prime Agent is Prime Intellect's open-source, self-improving coding agent built on Recursive Language Models (RLM) and a Continual Harness that lets it refine its own prompts, skills, memory, and sub-agents over long sessions.",{"q":102,"a":103},"What GPUs are available on Prime Intellect's compute marketplace?","The marketplace offers on-demand H100, H200, B200, B300, GH200, A100, and A40 GPUs, ranging from single instances to reserved clusters sourced from 50+ providers.",{"q":105,"a":106},"What is Prime-RL?","Prime-RL is Prime Intellect's open-source framework for asynchronous, large-scale reinforcement learning, scaling from one node to thousands of GPUs with support for multi-turn agentic training.",{"q":108,"a":109},"Does Prime Intellect support LoRA fine-tuning?","Yes, inference includes native LoRA support, letting teams serve customized model behavior pay-per-token without duplicating the full base model.",{"q":111,"a":112},"Can I use Prime Intellect without training my own model?","Yes, the platform also provides serverless, OpenAI-compatible inference APIs for open-source base models alongside its training and evaluation tools.",{"q":114,"a":115},"Is Prime Intellect open source?","Core components like Verifiers, Prime-RL, and Prime Agent are open-sourced, while Lab, hosted training, and dedicated inference are offered as managed commercial services.",{"tagline":117,"description":118,"features":119,"pros":137,"cons":138,"useCases":139,"pricingTiers":155,"faq":156},"一体化平台，通过整合算力、RL 环境与推理服务，支持训练、评测和部署定制化 AI 模型。","Prime Intellect 是一个开放的超级智能技术栈，让开发者和企业能够训练、评测、部署并持续改进自己的 AI 模型，而不必完全依赖闭源的前沿实验室 API。该平台整合了全球 GPU 算力市场、拥有 2,500 多个强化学习环境的社区驱动 Environments Hub、通过其 Lab 产品提供的托管训练，以及支持原生 LoRA 的专属或无服务器推理服务。团队可以将任意任务转化为可训练的 RL 环境，在公开排行榜上对模型进行基准测试,并将生产环境中的调用轨迹回灌到新的训练流程中，打通部署与模型改进之间的闭环。Prime Intellect 还开源了核心研究工具，包括 Verifiers 库、异步训练框架 Prime-RL，以及自我改进型编程 Agent Prime Agent。",[120,123,126,129,132,135],{"title":121,"desc":122},"RL Environments 与 Environments Hub","使用开源的 Verifiers 库和 Prime CLI，将任意任务转化为强化学习环境，并可直接调用 2,500+ 个社区贡献的环境，覆盖编程、科学研究和搜索等任务类型。",{"title":124,"desc":125},"Hosted Evaluations（托管评测）","在公开排行榜上对 100+ 个开源模型进行基准测试，无需搭建任何基础设施，方便在部署前挑选或验证模型效果。",{"title":127,"desc":128},"Hosted Training（托管训练 \u002F Lab）","通过 Prime Intellect 应用研究团队提供的托管工作流，在数千个 RL 环境中训练大规模 Agent 模型，全程可见并获得支持。",{"title":130,"desc":131},"灵活推理与 LoRA 支持","支持一键部署专属算力、按 token 计费的 LoRA 适配器推理，以及兼容 OpenAI 接口的无服务器 API，多种方式部署微调模型。",{"title":133,"desc":134},"全球 GPU 算力市场","按需获取 H100、H200、B200、B300 等多种 GPU，从单节点到大规模预留集群，覆盖 50+ 家供应商，支持 SLURM\u002FK8s 编排与 Infiniband 网络。",{"title":70,"desc":136},"开源的自我改进型编程 Agent，基于 Recursive Language Models 和 Continual Harness 构建，能够在长时间会话中持续优化自身的 prompt、记忆与子 Agent。",[],[],[140,143,146,149,152],{"user":141,"desc":142},"定制化 Agent 训练","团队可训练体量小、针对特定任务的 RL 子 Agent，在细分工作流上以更低成本超越前沿模型的表现，Ramp 用它优化了表格搜索场景。",{"user":144,"desc":145},"模型基准测试","研究团队借助 Hosted Evaluations，在部署前于公开排行榜上比较各开源模型的表现，从而选出合适的模型。",{"user":147,"desc":148},"生产到训练的闭环","企业采集生产环境中的调用轨迹，将高价值的失败案例转化为新的环境或评测集，训练出成本更低、更可靠的适配器。",{"user":150,"desc":151},"长周期自主编程","开发者使用 Prime Agent 处理需要持久记忆、子 Agent 编排和自我优化状态的长时间编程、研究和评测任务。",{"user":153,"desc":154},"分布式大规模训练","AI 实验室和创业公司借助 Prime-RL 框架及 Prime Intellect 的算力层，在 GPU 集群上运行大规模异步强化学习。",[],[157,160,163,166,169,172,175,178],{"q":158,"a":159},"Prime Intellect 是什么？","Prime Intellect 是一个全栈式的“开放超级智能技术栈”，提供算力、RL 训练环境、托管训练和推理服务，让团队能够持续构建和改进自己的 AI 模型。",{"q":161,"a":162},"什么是 Environments Hub？","Environments Hub 是一个拥有 2,500+ 个开源强化学习环境的社区市场，可用于评测、RL 训练、合成数据生成或模型蒸馏。",{"q":164,"a":165},"什么是 Prime Agent？","Prime Agent 是 Prime Intellect 开源的自我改进型编程 Agent，基于 Recursive Language Models（RLM）和 Continual Harness 构建，能在长时间会话中持续优化自身的 prompt、技能、记忆和子 Agent。",{"q":167,"a":168},"Prime Intellect 的算力市场提供哪些 GPU？","该算力市场提供按需的 H100、H200、B200、B300、GH200、A100 和 A40 GPU，从单实例到预留集群不等，来源覆盖 50+ 家供应商。",{"q":170,"a":171},"什么是 Prime-RL？","Prime-RL 是 Prime Intellect 开源的异步大规模强化学习框架，可从单节点扩展到数千块 GPU，并支持多轮 Agent 式训练。",{"q":173,"a":174},"Prime Intellect 支持 LoRA 微调吗？","支持。推理服务原生支持 LoRA，团队可以按 token 计费的方式提供定制化模型行为，而无需复制完整的基础模型。",{"q":176,"a":177},"不训练自己的模型也能使用 Prime Intellect 吗？","可以。除了训练和评测工具外，该平台还为开源基础模型提供兼容 OpenAI 接口的无服务器推理 API。",{"q":179,"a":180},"Prime Intellect 是开源的吗？","Verifiers、Prime-RL 和 Prime Agent 等核心组件均已开源，而 Lab、托管训练和专属推理则作为托管商业服务提供。",{"github":182,"twitter":183,"linkedin":184,"discord":185},"https:\u002F\u002Fgithub.com\u002FPrimeIntellect-ai","https:\u002F\u002Fx.com\u002FPrimeIntellect","https:\u002F\u002Fwww.linkedin.com\u002Fcompany\u002Fprimeintellect-ai","https:\u002F\u002Fdiscord.gg\u002Fprimeintellect",{"status":187,"http":188,"latencyMs":189,"finalUrl":190,"checkedAt":191,"title":192,"lang":193},"alive",200,158,"https:\u002F\u002Fwww.primeintellect.ai\u002F","2026-10-01T01:30:13Z","Prime Intellect - The 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Rather than managing multiple API keys, rate limits, and billing accounts across different providers, developers can route all their model calls through VTok's unified endpoint. The service is particularly focused on delivering reliable uptime, low-latency responses, and OpenAI-compatible API formatting, making it easy to integrate into existing projects with minimal code changes.",{"tagline":216,"description":217},"一个可靠的API中继服务，通过单一统一端点整合对OpenAI、DeepSeek、Gemini、Claude和其他领先AI模型的访问。","VTok是一个AI API中继平台，旨在为开发者提供稳定、一致的访问各种顶级AI模型的服务——包括完整的ChatGPT系列、DeepSeek、Google Gemini和Anthropic Claude——通过单一API接口。开发者无需管理多个API密钥、速率限制和不同提供商的计费账户，可以通过VTok的统一端点路由所有模型调用。该服务特别专注于提供可靠的正常运行时间、低延迟响应和OpenAI兼容的API格式，使其易于集成到现有项目中，只需最少的代码更改。",37,{"slug":220,"name":221,"cnName":9,"category":22,"categories":222,"subcategory":9,"pricing":24,"url":223,"logo":224,"accent":26,"tags":225,"rating":25,"saves":25,"featured":41,"editorPick":41,"priceFrom":25,"reviewCount":25,"updatedAt":203,"verified":41,"platforms":226,"monthlyVisits":227,"inputs":228,"outputs":229,"siteHealth":230,"en":235,"zh":238,"similarity":218},"turnkey","Turnkey",[22],"https:\u002F\u002Fturnkey.com","https:\u002F\u002Fimage.moge.ai\u002Ffavicon\u002Fturnkey.png",[36,37],[28],126080,[30],[30],{"status":187,"http":188,"latencyMs":231,"finalUrl":232,"checkedAt":233,"title":234,"lang":193},1164,"https:\u002F\u002Fwww.turnkey.com\u002F","2026-09-30T22:15:15Z","Turnkey — Secure, flexible, and scalable wallet infrastructure",{"tagline":236,"description":237},"Turnkey offers secure, scalable, and flexible wallet infrastructure with seamless private key management and onchain automation through a unified API.","Turnkey is a modular key management platform designed to simplify wallet creation, transaction signing, and onchain automation. It provides developers with flexible APIs and open-source SDKs to build embedded wallets, automate complex crypto transactions, and implement granular security policies. Founded by the team behind Coinbase Custody, Turnkey emphasizes cryptographic security by leveraging trusted hardware enclaves to ensure private keys remain protected and never exposed. Its infrastructure supports a variety of authentication methods and account abstraction, enabling seamless onboarding and user-friendly wallet experiences across multiple blockchain networks.",{"tagline":239,"description":240},"Turnkey提供安全、可扩展且灵活的钱包基础设施，通过统一API实现无缝的私钥管理和链上自动化。","Turnkey是一个模块化密钥管理平台，旨在简化钱包创建、交易签名和链上自动化。它为开发者提供灵活的API和开源SDK，用于构建嵌入式钱包、自动化复杂的加密货币交易，并实施精细的安全策略。由Coinbase Custody背后的团队创立，Turnkey通过利用可信硬件飞地确保私钥保持受保护且不被暴露，从而强调加密安全。其基础设施支持各种认证方法和账户抽象，实现跨多个区块链网络的无缝入门和用户友好的钱包体验。",{"slug":242,"name":243,"cnName":9,"category":22,"categories":244,"subcategory":9,"pricing":24,"url":245,"logo":246,"accent":26,"tags":247,"rating":25,"saves":25,"featured":41,"editorPick":41,"priceFrom":25,"reviewCount":25,"updatedAt":203,"verified":41,"platforms":251,"monthlyVisits":252,"inputs":253,"outputs":254,"siteHealth":255,"en":260,"zh":263,"similarity":218},"truffle-ai-2","Truffle AI",[22],"https:\u002F\u002Ftruffles.ai","https:\u002F\u002Fimage.moge.ai\u002Ffavicon\u002Ftruffle-ai-2.png",[37,248,36,249,250],"ai-customer-service","ai-api-design","ai-data-analysis",[28],467,[30],[30],{"status":187,"http":188,"latencyMs":256,"finalUrl":257,"checkedAt":258,"title":259,"lang":193},505,"https:\u002F\u002Fwww.truffles.ai\u002F","2026-09-30T22:30:05Z","Truffles AI | Credit Intelligence &amp; Risk Systems for Lenders",{"tagline":261,"description":262},"Platform offering seamless AI agent integration into software applications via simple APIs, eliminating infrastructure complexity.","Truffle AI streamlines the deployment of AI agents by providing plug-and-play APIs that handle all backend complexities such as state management, memory, vector databases, and external tool integrations. This enables developers to embed customizable AI agents into any application with minimal code, accelerating AI adoption and reducing operational overhead. The platform supports multi-agent workflows and is designed to scale from solo developers to enterprise teams, allowing rapid prototyping and production-ready AI solutions without infrastructure burdens.",{"tagline":264,"description":265},"通过简单的API提供无缝AI智能体集成到软件应用中的平台，消除基础设施复杂性。","Truffle AI通过提供处理所有后端复杂性的即插即用API，简化了AI智能体的部署，包括状态管理、内存、向量数据库和外部工具集成。这使开发人员能够以最少的代码将可定制的AI智能体嵌入任何应用程序，加速AI应用并减少运营开销。该平台支持多智能体工作流，设计用于从个人开发者到企业团队的不同规模，允许在没有基础设施负担的情况下进行快速原型设计和生产就绪的AI解决方案。",{"slug":267,"name":268,"cnName":9,"category":22,"categories":269,"subcategory":9,"pricing":24,"url":270,"logo":271,"accent":26,"tags":272,"rating":25,"saves":25,"featured":41,"editorPick":41,"priceFrom":25,"reviewCount":25,"updatedAt":203,"verified":41,"platforms":274,"monthlyVisits":25,"inputs":275,"outputs":276,"siteHealth":277,"en":282,"zh":285,"similarity":218},"tropir","Tropir",[22],"https:\u002F\u002Ftropir.com","https:\u002F\u002Fimage.moge.ai\u002Ffavicon\u002Ftropir.png",[36,37,273],"monitor-log-management",[28],[30],[30],{"status":187,"http":188,"latencyMs":278,"finalUrl":279,"checkedAt":280,"title":281,"lang":193},295,"https:\u002F\u002Fwww.aviro.ai\u002F","2026-09-30T22:30:07Z","Aviro",{"tagline":283,"description":284},"Developer platform for tracing, debugging, and automatically fixing complex LLM pipelines and agent workflows.","Tropir is a comprehensive debugging and optimization platform designed specifically for LLM-based applications and multi-agent systems. The platform provides full-pipeline traceability, allowing developers to track how data flows through prompts, tools, and model calls. When failures occur, Tropir automatically traces issues back to their root cause, suggests targeted fixes, reruns the pipeline with improvements, and validates results through evaluation metrics. The platform integrates seamlessly with major AI providers and requires no code changes to existing workflows.",{"tagline":286,"description":287},"用于跟踪、调试和自动修复复杂LLM流程和Agent工作流的开发者平台。","Tropir是一个专为基于LLM的应用程序和多Agent系统设计的综合调试和优化平台。该平台提供全流程可追溯性，使开发人员能够跟踪数据如何通过提示词、工具和模型调用流动。当出现故障时，Tropir自动将问题追溯到根本原因，建议有针对性的修复方案，使用改进重新运行流程，并通过评估指标验证结果。该平台与主要AI提供商无缝集成，无需对现有工作流进行代码更改。",{"slug":289,"name":290,"cnName":9,"category":22,"categories":291,"subcategory":9,"pricing":24,"url":292,"logo":293,"accent":26,"tags":294,"rating":25,"saves":25,"featured":41,"editorPick":41,"priceFrom":25,"reviewCount":25,"updatedAt":203,"verified":41,"platforms":296,"monthlyVisits":297,"inputs":298,"outputs":299,"siteHealth":300,"en":305,"zh":308,"similarity":218},"superagent-moge","Superagent",[22],"https:\u002F\u002Fsuperagent.sh","https:\u002F\u002Fimage.moge.ai\u002Ffavicon\u002Fsuperagent.png",[37,248,36,295],"ai-code-review",[28],28003,[30],[30],{"status":187,"http":188,"latencyMs":301,"finalUrl":302,"checkedAt":303,"title":304,"lang":193},596,"https:\u002F\u002Fwww.superagent.sh\u002F","2026-09-30T23:15:07Z","Superagent - Build your autonomous security factory",{"tagline":306,"description":307},"Open-source AI assistant framework enabling easy creation, management, and deployment of customizable ChatGPT-like agents.","Superagent is a versatile open-source framework designed for developers to build, manage, and deploy AI assistants similar to ChatGPT. It supports integration with various data sources and third-party APIs, enabling agents to perform complex tasks with memory and contextual understanding. Superagent offers a cloud platform for effortless production deployment without infrastructure concerns, and provides SDKs in Python, TypeScript, and Swift for seamless integration. Its architecture supports workflows, vector databases, and extensive tooling, making it suitable for a wide range of AI-powered applications.",{"tagline":309,"description":310},"开源AI助手框架，助力轻松创建、管理和部署可定制的类ChatGPT Agent。","Superagent是一个多功能开源框架，专为开发者构建、管理和部署类似ChatGPT的AI助手而设计。支持集成多种数据源和第三方API，使Agent能够凭借记忆与上下文理解执行复杂任务。Superagent提供云平台，助力轻松生产部署，无需基础设施顾虑，并提供Python、TypeScript与Swift SDK以实现无缝集成。架构支持工作流、向量数据库及丰富工具，适用于各类AI应用场景。",{"slug":312,"name":313,"cnName":9,"category":22,"categories":314,"subcategory":9,"pricing":24,"url":315,"logo":316,"accent":26,"tags":317,"rating":25,"saves":25,"featured":41,"editorPick":41,"priceFrom":25,"reviewCount":25,"updatedAt":49,"verified":41,"platforms":320,"monthlyVisits":321,"inputs":322,"outputs":323,"siteHealth":324,"en":330,"zh":333,"similarity":218},"protocol-ai","Protocol AI",[22],"https:\u002F\u002Fprotocol.ai","https:\u002F\u002Fimage.moge.ai\u002Ffavicon\u002Fprotocol-ai.png",[37,318,319,36],"ai-app-builder","ai-code-assistant",[28],19260,[30],[30],{"status":187,"http":188,"latencyMs":325,"finalUrl":326,"checkedAt":327,"title":328,"lang":329},208,"https:\u002F\u002Fpl.xyz\u002F","2026-10-01T01:30:08Z","Protocol Labs","en-us",{"tagline":331,"description":332},"A comprehensive platform that leverages intelligent AI agents to streamline and automate the design, development, and deployment of decentralized applications across multiple blockchain ecosystems.","Protocol AI is an advanced app prototyping platform focused on simplifying Web3 development by employing specialized AI agents. These agents automate complex tasks in the lifecycle of decentralized app (dapp) creation, including secure smart contract generation and user interface optimization for decentralized games. The platform supports multiple smart contract languages and offers tools for collaborative development, integration with Web2 systems, and cross-chain compatibility. It features a marketplace for community-built logic blocks and templates, enabling both novice and expert developers to accelerate innovation and reduce coding barriers in the decentralized ecosystem. Protocol AI is powered by the $PAGENT token, which fuels platform interactions, governance, and revenue sharing.",{"tagline":334,"description":335},"一个全面的平台，利用智能 AI 智能体简化和自动化跨多个区块链生态系统的去中心化应用的设计、开发和部署。","Protocol AI 是一个先进的应用原型设计平台，通过专业的 AI 智能体简化 Web3 开发。这些智能体自动化去中心化应用（dapp）创建生命周期中的复杂任务，包括安全智能合约生成和去中心化游戏的用户界面优化。该平台支持多种智能合约语言，并提供协作开发工具、与 Web2 系统集成和跨链兼容性。它拥有社区构建的逻辑模块和模板市场，使新手和专业开发者都能加速创新并降低去中心化生态系统中的编码障碍。Protocol AI 由 $PAGENT 通证驱动，为平台互动、治理和收益分享提供动力。",{"slug":337,"name":338,"cnName":9,"category":22,"categories":339,"subcategory":9,"pricing":24,"url":340,"logo":341,"accent":26,"tags":342,"rating":25,"saves":25,"featured":41,"editorPick":41,"priceFrom":25,"reviewCount":25,"updatedAt":49,"verified":41,"platforms":344,"monthlyVisits":345,"inputs":346,"outputs":347,"siteHealth":348,"en":352,"zh":355,"similarity":218},"primeforge","PrimeForge",[22],"https:\u002F\u002Fprimeforge.ai","https:\u002F\u002Fimage.moge.ai\u002Ffavicon\u002Fprimeforge.png",[37,318,36,343],"ai-devops-assistant",[28],53360,[30],[30],{"status":187,"http":188,"latencyMs":349,"finalUrl":350,"checkedAt":191,"title":351,"lang":193},2156,"https:\u002F\u002Fwww.primeforge.ai\u002F","Google & Microsoft Mailboxes for Outreach Teams | Primeforge",{"tagline":353,"description":354},"Development platform that enables developers to build, deploy, and scale custom AI tools through modular model integration and API orchestration.","PrimeForge is a comprehensive platform designed for teams and developers to create and operationalize AI applications easily through a unified interface. It provides infrastructure, APIs, and integration modules that simplify model management, chaining, and deployment. PrimeForge focuses on turning AI prototypes into production-ready tools, offering structured workflows and performance monitoring to ensure reliability and scalability across enterprise environments.",{"tagline":356,"description":357},"开发平台，使开发者能够通过模块化模型集成和API编排构建、部署和扩展自定义AI工具。","PrimeForge是一个综合平台，专为团队和开发者设计，通过统一界面轻松创建和运营AI应用程序。它提供基础设施、API和集成模块，简化模型管理、链接和部署。PrimeForge专注于将AI原型转换为生产就绪的工具，提供结构化工作流和性能监控，确保企业环境中的可靠性和可扩展性。",{"slug":359,"name":360,"cnName":9,"category":22,"categories":361,"subcategory":9,"pricing":24,"url":362,"logo":363,"accent":26,"tags":364,"rating":25,"saves":25,"featured":41,"editorPick":41,"priceFrom":25,"reviewCount":25,"updatedAt":49,"verified":41,"platforms":365,"monthlyVisits":366,"inputs":367,"outputs":368,"siteHealth":369,"en":374,"zh":377,"similarity":218},"one","One",[22],"https:\u002F\u002Fwithone.ai","https:\u002F\u002Fimage.moge.ai\u002Ffavicon\u002Fone.png",[37,36],[28],74074,[30],[30],{"status":187,"http":188,"latencyMs":370,"finalUrl":371,"checkedAt":372,"title":373,"lang":193},659,"https:\u002F\u002Fwww.withone.ai\u002F","2026-10-01T02:45:08Z","One | The trust layer for AI agents",{"tagline":375,"description":376},"Agent infrastructure platform providing 84,000+ open source tools across 500+ apps with managed auth and context optimization.","One is an agent infrastructure platform that connects AI agents to the APIs they need to perform real work. The platform offers access to 84,237 tools spanning 500+ applications including Gmail, Slack, Stripe, HubSpot, and more, with managed authentication, rate limiting, and context optimization built in. Rather than requiring developers to build custom integrations for each API, One provides a unified interface through its CLI and SDK, allowing agents to discover, authenticate, and execute actions across platforms efficiently. The platform emphasizes token efficiency by loading only the specific action knowledge needed at runtime, keeping context windows small even with extensive platform connections.",{"tagline":378,"description":379},"智能体基础设施平台，提供84,000多个开源工具，覆盖500多个应用，具备托管身份验证和上下文优化功能。","One是一个智能体基础设施平台，连接AI智能体与执行实际工作所需的API。该平台提供84,237个工具，涵盖500多个应用程序，包括Gmail、Slack、Stripe、HubSpot等，内置托管身份验证、速率限制和上下文优化。无需开发者为每个API构建自定义集成，One通过其CLI和SDK提供统一接口，让智能体能够高效地发现、验证和执行跨平台操作。该平台通过仅在运行时加载所需的特定操作知识来强调令牌效率，即使连接大量平台也能保持较小的上下文窗口。",{"slug":381,"name":382,"cnName":9,"category":22,"categories":383,"subcategory":9,"pricing":24,"url":384,"logo":385,"accent":26,"tags":386,"rating":25,"saves":25,"featured":41,"editorPick":41,"priceFrom":25,"reviewCount":25,"updatedAt":49,"verified":41,"platforms":389,"monthlyVisits":25,"inputs":390,"outputs":391,"siteHealth":392,"en":397,"zh":400,"similarity":218},"nebius-ai-studio","Nebius AI Studio",[22],"https:\u002F\u002Fnebius.ai","https:\u002F\u002Fimage.moge.ai\u002Ffavicon\u002Fnebius-ai-studio.png",[202,36,387,388,37],"ai-content-generator","text-to-image",[28],[30],[30],{"status":187,"http":188,"latencyMs":393,"finalUrl":394,"checkedAt":395,"title":396,"lang":193},1380,"https:\u002F\u002Fnebius.com\u002F","2026-10-01T03:00:16Z","The Ultimate AI Cloud",{"tagline":398,"description":399},"High-performance, cost-effective AI inference platform offering scalable access to state-of-the-art open-source models with flexible pricing and enterprise-grade infrastructure.","Nebius AI Studio is a cutting-edge Inference-as-a-Service platform designed to deliver ultra-fast, scalable, and affordable AI model inference. Built on proprietary full-stack infrastructure optimized for AI workloads, it supports a wide range of open-source models including Meta’s Llama-3.1-405B, Flux Schnell, Flux Dev, and SDXL for text-to-image generation. The platform features a user-friendly Playground for easy model experimentation and comparison, an OpenAI-compatible API for seamless integration, and a flexible dual-flavor approach balancing speed and cost-efficiency. Nebius AI Studio targets developers, businesses, and creative professionals seeking to scale AI-powered content creation, real-time applications, and enterprise deployments while ensuring compliance with data privacy and AI regulations.",{"tagline":401,"description":402},"高性能、高性价比的AI推理平台，提供可扩展的顶级开源模型访问，灵活定价与企业级基础设施。","Nebius AI Studio是一款领先的推理即服务（Inference-as-a-Service）平台，专为提供超快、可扩展且经济实惠的AI模型推理而设计。平台基于自研的全栈基础设施，针对AI负载深度优化，支持包括Meta Llama-3.1-405B、Flux Schnell、Flux Dev和SDXL等在内的多种开源模型，涵盖文本生成和文本生成图像。平台配备易用的Playground，便于模型实验和对比，支持兼容OpenAI的API实现无缝集成，并通过灵活的双模式架构兼顾速度与成本。Nebius AI Studio面向开发者、企业和创意人士，助力AI内容创作、实时应用和企业级部署，同时确保数据隐私和AI合规性。",{"slug":404,"name":405,"cnName":9,"category":22,"categories":406,"subcategory":9,"pricing":24,"url":407,"logo":408,"accent":26,"tags":409,"rating":25,"saves":25,"featured":41,"editorPick":41,"priceFrom":25,"reviewCount":25,"updatedAt":49,"verified":41,"platforms":410,"monthlyVisits":25,"inputs":411,"outputs":412,"siteHealth":413,"en":418,"zh":421,"similarity":218},"mosaic-ai","Mosaic AI",[22],"https:\u002F\u002Fusemosaic.ai","https:\u002F\u002Fimage.moge.ai\u002Ffavicon\u002Fmosaic-ai.png",[37,36,273,202,250],[28],[30],[30],{"status":187,"http":188,"latencyMs":414,"finalUrl":415,"checkedAt":416,"title":417,"lang":193},1040,"https:\u002F\u002Fmosaic.so\u002F","2026-10-01T03:15:09Z","Mosaic | Agentic AI Video Editing Platform",{"tagline":419,"description":420},"Comprehensive AI platform integrated with Databricks for building, deploying, and monitoring production-grade generative AI and ML applications.","Mosaic AI is a powerful suite of tools embedded within the Databricks Data Intelligence Platform, designed to streamline the development, deployment, and governance of AI and machine learning applications at scale. It supports advanced capabilities such as large language model (LLM) serving, vector search, agent frameworks, and model evaluation, all integrated with unified governance via Unity Catalog and lifecycle management through MLflow. Mosaic AI enables enterprises to build production-ready generative AI apps with robust monitoring, quality control, and seamless integration with data lakes and cloud infrastructure.",{"tagline":422,"description":423},"集成于Databricks的全方位AI平台，用于构建、部署和监控生产级生成式AI与ML应用。","Mosaic AI是一套强大的工具集，内嵌于Databricks数据智能平台，旨在简化大规模AI与机器学习应用的开发、部署与治理。其支持高级功能，如大语言模型（LLM）服务、向量检索、Agent框架与模型评估，并通过Unity Catalog实现统一治理，通过MLflow进行生命周期管理。Mosaic AI帮助企业构建具备强大监控、质量控制和无缝数据湖、云基础设施集成能力的生产级生成式AI应用。",{"slug":425,"name":426,"cnName":9,"category":22,"categories":427,"subcategory":9,"pricing":24,"url":428,"logo":429,"accent":26,"tags":430,"rating":25,"saves":25,"featured":41,"editorPick":41,"priceFrom":25,"reviewCount":25,"updatedAt":49,"verified":41,"platforms":431,"monthlyVisits":432,"inputs":433,"outputs":434,"siteHealth":435,"en":440,"zh":443,"similarity":218},"lemma-moge","Lemma",[22],"https:\u002F\u002Fuselemma.ai","https:\u002F\u002Fimage.moge.ai\u002Ffavicon\u002Flemma.png",[273,36,37],[28],33158,[30],[30],{"status":187,"http":188,"latencyMs":436,"finalUrl":437,"checkedAt":438,"title":439,"lang":193},250,"https:\u002F\u002Fwww.uselemma.ai\u002F","2026-10-01T04:30:07Z","Lemma | Production monitoring for AI agents",{"tagline":441,"description":442},"Observability and evaluation platform that helps AI agents learn from production failures and user feedback.","Lemma is an observability and evaluation platform purpose-built for AI agents rather than traditional software. It captures full execution traces of agent runs—covering LLM calls, tool usage, retrieval steps, latency, and errors—so teams can pinpoint exactly where and why an agent went wrong. Beyond passive monitoring, Lemma closes the feedback loop by turning real user signals and detected failure patterns into concrete prompt and behavior improvements, aiming to cut manual debugging time significantly.",{"tagline":444,"description":445},"帮助AI Agent从生产环境失败和用户反馈中学习的可观测性和评估平台。","Lemma是一个专为AI Agent而非传统软件构建的可观测性和评估平台。它捕获Agent运行的完整执行追踪——涵盖LLM调用、工具使用、检索步骤、延迟和错误——让团队能够精确定位Agent在何处以及为何出错。除了被动监控，Lemma还通过将真实用户信号和检测到的失败模式转化为具体的提示词和行为改进来闭环反馈，旨在显著减少人工调试时间。",{"slug":447,"name":448,"cnName":9,"category":22,"categories":449,"subcategory":9,"pricing":24,"url":450,"logo":451,"accent":26,"tags":452,"rating":25,"saves":25,"featured":41,"editorPick":41,"priceFrom":25,"reviewCount":25,"updatedAt":49,"verified":41,"platforms":453,"monthlyVisits":454,"inputs":455,"outputs":456,"siteHealth":457,"en":462,"zh":465,"similarity":218},"leeroo","Leeroo",[22],"https:\u002F\u002Fleeroo.com","https:\u002F\u002Fimage.moge.ai\u002Ffavicon\u002Fleeroo.png",[37,202,36],[28],1125,[30],[30],{"status":187,"http":188,"latencyMs":458,"finalUrl":459,"checkedAt":460,"title":461,"lang":193},286,"https:\u002F\u002Fleeroo.com\u002F","2026-10-01T04:30:08Z","Leeroo | A Living Model of Your Business, Built by AI",{"tagline":463,"description":464},"A flexible AI agent platform that orchestrates multiple expert models to deliver efficient, accurate, and scalable AI solutions with deployment options on-premise or in the cloud.","Leeroo is an advanced AI system designed to transform knowledge into intelligent agents by orchestrating a diverse set of expert language models. Its core innovation, the Leeroo Orchestrator, dynamically selects the most suitable expert models for each task, optimizing for accuracy, speed, and cost. Unlike traditional approaches that require high-end hardware, Leeroo supports deployment on accessible consumer-grade machines and any cloud environment, offering scalability and privacy through on-premise options. The platform continuously improves through a self-play training loop that refines its ability to assign tasks to experts, enabling superior performance especially in STEM domains like mathematics and computer science.",{"tagline":466,"description":467},"一个灵活的AI智能体平台，编排多个专家模型，提供高效、准确和可扩展的AI解决方案，并提供本地或云端部署选项。","Leeroo是一个先进的AI系统，旨在通过编排多样化的专家语言模型将知识转化为智能体。其核心创新，Leeroo Orchestrator，能够动态选择最适合每个任务的专家模型，优化准确性、速度和成本。与需要高端硬件的传统方法不同，Leeroo支持在可访问的消费级机器和任何云环境中部署，通过本地选项提供可扩展性和隐私保护。该平台通过自我对弈训练循环不断改进，提高其分配任务给专家的能力，尤其在数学和计算机科学等STEM领域实现卓越性能。"]