由 DeepSeek-V4 與 R1 驅動的高效開源權重與託管推理 AI,token 成本極低。
涵蓋 459 類工作流程,透過流量估算、產品功能與替代方案協助選擇。
“Reasoning”·485 個結果
重新開始由 DeepSeek-V4 與 R1 驅動的高效開源權重與託管推理 AI,token 成本極低。


訓練能在長時程中推理與協作之模型的研究實驗室
由 Salesforce Data 360 與 Atlas 驅動的自主企業級 AI agent 與 CRM 智慧。
由 Salesforce Data 360 與 Atlas 驅動的自主企業級 AI agent 與 CRM 智慧。

Honcho is an open-source memory layer for AI agents. It ingests messages, indexes them, and runs background reasoning so agents can recall who a user is, what happened before, and what to do next — across sessions, tools, and machines.


XenonStack is an AI-first technology company that builds decision infrastructure for enterprise AI agents. Its platform spans reasoning, orchestration, analytics, infrastructure and trust, with products including Foundry, ElixirClaw, ElixirData, NexaStack, MetaSecure and Neural AI, plus pre-built agents for operations, finance, security, analytics and supply chain.
XenonStack is an AI-first technology company that builds decision infrastructure for enterprise AI agents. Its platform spans reasoning, orchestration, analytics, infrastructure and trust, with products including Foundry, ElixirClaw, ElixirData, NexaStack, MetaSecure and Neural AI, plus pre-built agents for operations, finance, security, analytics and supply chain.

不只給結論,還說明理由的 AI 體育預測工具

TypeSafe AI is an AI lab building machine-native intelligence infrastructure, and Jev is its first System One Model — a model designed to make decisions inside software rather than reply to humans. Instead of returning strings, Jev accepts structured questions and returns typed decisions with calibrated confidence scores, so applications can act autonomously when confidence is high and escalate for human review when it is not. TypeSafe reports roughly 193x faster and 444x cheaper performance on System One workloads compared with general-purpose LLMs.
TypeSafe AI is an AI lab building machine-native intelligence infrastructure, and Jev is its first System One Model — a model designed to make decisions inside software rather than reply to humans. Instead of returning strings, Jev accepts structured questions and returns typed decisions with calibrated confidence scores, so applications can act autonomously when confidence is high and escalate for human review when it is not. TypeSafe reports roughly 193x faster and 444x cheaper performance on System One workloads compared with general-purpose LLMs.

Google DeepMind 榜首級資安防禦與長週期智慧體工程前沿模型 — Gemini 4 Carbon (Gemini Carbon 4),繼 Gemini 4 Argon 後的巔峰之作
Google DeepMind 榜首級資安防禦與長週期智慧體工程前沿模型 — Gemini 4 Carbon (Gemini Carbon 4),繼 Gemini 4 Argon 後的巔峰之作







端到端解決客戶支援問題的 Agentic AI