<?xml version="1.0" encoding="UTF-8"?>
<resources count="66">
  <resource slug="mcp-sequential" kind="mcp-server"><name>MCP sequential-thinking</name><url>https://github.com/modelcontextprotocol/servers/tree/main/src/sequentialthinking</url><description>Step-wise reasoning MCP.</description></resource>
  <resource slug="deepseek-r1" kind="model"><name>DeepSeek-R1</name><url>https://deepseek.com</url><description>Open reasoning model.</description></resource>
  <resource slug="gpt-6-astra" kind="model"><name>GPT-6 Astra</name><url>https://platform.openai.com</url><description>OpenAI's GPT-6 frontier flagship — agentic coding, computer use, million-token retrieval.</description></resource>
  <resource slug="gpt-6-1-sol" kind="model"><name>GPT-6.1 Sol</name><url>https://platform.openai.com</url><description>Near-Astra capability at one-fifth the list price — the cost-efficient frontier pick.</description></resource>
  <resource slug="gpt-5-6-sol" kind="model"><name>GPT-5.6 Sol</name><url>https://platform.openai.com</url><description>GPT-5.6 reasoning variant.</description></resource>
  <resource slug="claude-opus-5-5" kind="model"><name>Claude Opus 5.5</name><url>https://www.anthropic.com/claude</url><description>Anthropic's 5.5 flagship — SOTA Terminal-Bench 4.0 (vendor-run 66.4% xhigh; independent 59.6%).</description></resource>
  <resource slug="claude-sonnet-5-5" kind="model"><name>Claude Sonnet 5.5</name><url>https://www.anthropic.com/claude</url><description>Near-Opus quality at Sonnet price — 30%+ faster than Sonnet 5.</description></resource>
  <resource slug="claude-fable-5-1" kind="model"><name>Claude Fable 5.1</name><url>https://www.anthropic.com/claude</url><description>Anthropic Fable frontier.</description></resource>
  <resource slug="claude-opus-5" kind="model"><name>Claude Opus 5</name><url>https://www.anthropic.com/claude</url><description>Anthropic Opus tier.</description></resource>
  <resource slug="deepseek-v4-pro" kind="model"><name>DeepSeek-V4 Pro</name><url>https://deepseek.com</url><description>DeepSeek V4 reasoning flagship.</description></resource>
  <resource slug="muse-spark-1-3" kind="model"><name>Muse Spark 1.3</name><url>https://ai.meta.com</url><description>Meta's frontier — reported 75.4% DeepSWE v1.1 at max reasoning.</description></resource>
  <resource slug="nemotron-ultra" kind="model"><name>Nemotron Ultra</name><url>https://build.nvidia.com</url><description>NVIDIA's open reasoning model.</description></resource>
  <resource slug="k2-thinking" kind="model"><name>K2 Thinking</name><url>https://kimi.moonshot.cn</url><description>Kimi K2 reasoning variant.</description></resource>
  <resource slug="gemini-4-carbon" kind="model"><name>Gemini 4 Carbon</name><url>https://openrouter.ai/google/gemini-4-carbon</url><description>Gemini 4 Carbon is a frontier Gemini 4 model from Google for coding, agentic and complex reasoning work.</description></resource>
  <resource slug="claude-fable-5-2" kind="model"><name>Claude Fable 5.2</name><url>https://openrouter.ai/anthropic/claude-fable-5.2</url><description>Claude Fable 5.2 is Anthropic's most capable model for the most demanding technical work, with gains over Fable 5.1 in coding, reasoning, and vision.</description></resource>
  <resource slug="muse-ember" kind="model"><name>Muse Ember</name><url>https://openrouter.ai/meta/muse-ember</url><description>Muse Ember is the smallest and most efficient model from Meta that’s designed for complex reasoning execution and the work agents repeat all day: tool calls, coding agent subtasks, routing,...</description></resource>
  <resource slug="gemini-omni-1-2-flash" kind="model"><name>Gemini Omni 1.2 Flash</name><url>https://openrouter.ai/google/gemini-omni-1.2-flash</url><description>Gemini Omni 1.2 Flash is Google's native multimodal video generation and editing model, the successor to Gemini Omni 1.1 Flash.</description></resource>
  <resource slug="gemini-omni-1-1-flash" kind="model"><name>Gemini Omni 1.1 Flash</name><url>https://openrouter.ai/google/gemini-omni-1.1-flash</url><description>Gemini Omni 1.1 Flash is Google's native multimodal video generation and editing model, the generally available successor to Gemini Omni Flash Preview.</description></resource>
  <resource slug="glm-5-3-flashx-legal" kind="model"><name>GLM 5.3 FlashX Legal</name><url>https://openrouter.ai/z-ai/glm-5.3-flashx-legal</url><description>GLM-5.3-FlashX-Legal (GLM-Legal) is Z.ai's legal-domain variant of GLM-5.3-FlashX, a native multimodal model that accepts text, image, and video input and produces text.</description></resource>
  <resource slug="gpt-6-1-terra-pro" kind="model"><name>GPT-6.1 Terra Pro</name><url>https://openrouter.ai/openai/gpt-6.1-terra-pro</url><description>GPT-6.1 Terra Pro is the same underlying model as [GPT-6.1 Terra](https://openrouter.ai/openai/gpt-6.1-terra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks.</description></resource>
  <resource slug="gpt-6-1-terra" kind="model"><name>GPT-6.1 Terra</name><url>https://openrouter.ai/openai/gpt-6.1-terra</url><description>GPT-6.1 Terra is the mid-tier model in OpenAI's GPT-6.1 series, priced below GPT-6.1 Sol.</description></resource>
  <resource slug="kimi-k3-1-pro" kind="model"><name>Kimi K3.1 Pro</name><url>https://openrouter.ai/moonshotai/kimi-k3.1-pro</url><description>Kimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning model and a post-trained successor to Kimi K3, with a 1M-token context window.</description></resource>
  <resource slug="minimax-m3-1-flash" kind="model"><name>MiniMax M3.1 Flash</name><url>https://openrouter.ai/minimax/minimax-m3.1-flash</url><description>MiniMax-M3.1-Flash is a multimodal model from MiniMax.</description></resource>
  <resource slug="muse-spark-open" kind="model"><name>Muse Spark Open</name><url>https://openrouter.ai/meta/muse-spark-open</url><description>Muse Spark Open is a coding-optimized open-weight model.</description></resource>
  <resource slug="nemotron-3-5-super-vl" kind="model"><name>Nemotron 3.5 Super VL</name><url>https://openrouter.ai/nvidia/nemotron-3.5-super-vl</url><description>NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total.</description></resource>
  <resource slug="gemini-4-argon" kind="model"><name>Gemini 4 Argon</name><url>https://openrouter.ai/google/gemini-4-argon</url><description>Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents.</description></resource>
  <resource slug="muse-wonder" kind="model"><name>Muse Wonder</name><url>https://openrouter.ai/meta/muse-wonder</url><description>Muse Wonder is a frontier reasoning model from Meta, designed for complex personal and professional agentic tasks.</description></resource>
  <resource slug="claude-haiku-5-5" kind="model"><name>Claude Haiku 5.5</name><url>https://openrouter.ai/anthropic/claude-haiku-5.5</url><description>Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use.</description></resource>
  <resource slug="gemini-nano-banana-2-1" kind="model"><name>Nano Banana 2.1</name><url>https://openrouter.ai/google/gemini-nano-banana-2.1</url><description>Nano Banana 2.1 (Gemini Nano Banana 2.1) is Google's image generation and editing model on the Flash tier, succeeding Nano Banana 2 and Nano Banana Pro.</description></resource>
  <resource slug="mistral-large-4-0" kind="model"><name>Mistral Large 4</name><url>https://openrouter.ai/mistralai/mistral-large-4-0</url><description>Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads.</description></resource>
  <resource slug="gpt-6-1-sol-pro" kind="model"><name>GPT-6.1 Sol Pro</name><url>https://openrouter.ai/openai/gpt-6.1-sol-pro</url><description>GPT-6.1 Sol Pro is the same underlying model as [GPT-6.1 Sol](https://openrouter.ai/openai/gpt-6.1-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks.</description></resource>
  <resource slug="glm-5-3-prime" kind="model"><name>GLM 5.3 Prime</name><url>https://openrouter.ai/z-ai/glm-5.3-prime</url><description>GLM-5.3-Prime is the high-speed variant of Z.ai's GLM-5.3, inheriting its full capabilities while delivering 1.5–2× the output throughput through inference acceleration.</description></resource>
  <resource slug="qwen3-8-max-prime" kind="model"><name>Qwen3.8 Max Prime</name><url>https://openrouter.ai/qwen/qwen3.8-max-prime</url><description>Qwen3.8 Max Prime is a higher-throughput variant of Qwen3.8 Max from Alibaba's Qwen team, served as a separate SKU at a higher price point.</description></resource>
  <resource slug="command-a-plus" kind="model"><name>Command A+</name><url>https://openrouter.ai/cohere/command-a-plus</url><description>Command A+ is Cohere's flagship model for enterprise agentic workflows.</description></resource>
  <resource slug="gpt-6-luna-pro" kind="model"><name>GPT-6 Luna Pro</name><url>https://openrouter.ai/openai/gpt-6-luna-pro</url><description>GPT-6 Luna Pro is the same underlying model as [GPT-6 Luna](https://openrouter.ai/openai/gpt-6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks.</description></resource>
  <resource slug="gpt-6-luna" kind="model"><name>GPT-6 Luna</name><url>https://openrouter.ai/openai/gpt-6-luna</url><description>GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol.</description></resource>
  <resource slug="gpt-6-sol-pro" kind="model"><name>GPT-6 Sol Pro</name><url>https://openrouter.ai/openai/gpt-6-sol-pro</url><description>GPT-6 Sol Pro is the same underlying model as [GPT-6 Sol](https://openrouter.ai/openai/gpt-6-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks.</description></resource>
  <resource slug="gpt-6-sol" kind="model"><name>GPT-6 Sol</name><url>https://openrouter.ai/openai/gpt-6-sol</url><description>GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier.</description></resource>
  <resource slug="grok-4-7" kind="model"><name>Grok 4.7</name><url>https://openrouter.ai/x-ai/grok-4.7</url><description>Grok 4.7 is SpaceXAI's flagship model for coding, agentic tasks, and knowledge work, succeeding Grok 4.6.</description></resource>
  <resource slug="qwen3-8-omni-flash" kind="model"><name>Qwen3.8 Omni Flash</name><url>https://openrouter.ai/qwen/qwen3.8-omni-flash</url><description>Qwen3.8 Omni Flash is an omni-modal reasoning model from Alibaba, the first Qwen model built around agentic capabilities with native audio-video understanding.</description></resource>
  <resource slug="glm-5-3-flashx" kind="model"><name>GLM 5.3 FlashX</name><url>https://openrouter.ai/z-ai/glm-5.3-flashx</url><description>GLM-5.3-FlashX is the high-speed variant of Z.ai's GLM-5.3-Flash, a native multimodal model delivering inference speeds of up to 200 tokens/s.</description></resource>
  <resource slug="deepseek-v4-1-flash" kind="model"><name>DeepSeek V4.1 Flash</name><url>https://openrouter.ai/deepseek/deepseek-v4.1-flash</url><description>DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture.</description></resource>
  <resource slug="gpt-6-astra-pro" kind="model"><name>GPT-6 Astra Pro</name><url>https://openrouter.ai/openai/gpt-6-astra-pro</url><description>GPT-6 Astra Pro is the same underlying model as [GPT-6 Astra](https://openrouter.ai/openai/gpt-6-astra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks.</description></resource>
  <resource slug="qwen3-8-flash" kind="model"><name>Qwen3.8 Flash</name><url>https://openrouter.ai/qwen/qwen3.8-flash</url><description>Qwen3.8 Flash is a multimodal reasoning model from Alibaba.</description></resource>
  <resource slug="deepseek-v4-flash-vision-exp" kind="model"><name>DeepSeek V4 Flash Vision Exp</name><url>https://openrouter.ai/deepseek/deepseek-v4-flash-vision-exp</url><description>DeepSeek V4 Flash Vision Exp is an experimental vision-enabled version of [DeepSeek V4 Flash 0731](https://openrouter.ai/deepseek/deepseek-v4-flash-0731) from DeepSeek, adding image understanding whil</description></resource>
  <resource slug="qwen3-8-27b" kind="model"><name>Qwen3.8 27B</name><url>https://openrouter.ai/qwen/qwen3.8-27b</url><description>Qwen3.8 27B is an open-weight dense vision-language model from Qwen.</description></resource>
  <resource slug="qwen3-8-2-4t-a95b" kind="model"><name>Qwen3.8 2.4T A95B</name><url>https://openrouter.ai/qwen/qwen3.8-2.4t-a95b</url><description>Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of [Qwen3.8 Max](/qwen/qwen3.8-max), with 95 billion active parameters out of 2.4 trillion tot</description></resource>
  <resource slug="nemotron-3-5-lightning" kind="model"><name>Nemotron 3.5 Lightning</name><url>https://openrouter.ai/nvidia/nemotron-3.5-lightning</url><description>NVIDIA Nemotron 3.5 Lightning is an open mixture-of-experts model from NVIDIA, with 3B active parameters out of 30B total.</description></resource>
  <resource slug="muse-glimmer-30b" kind="model"><name>Muse Glimmer 30B</name><url>https://openrouter.ai/meta/muse-glimmer-30b</url><description>Muse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware.</description></resource>
  <resource slug="muse-spark-1-2" kind="model"><name>Muse Spark 1.2</name><url>https://openrouter.ai/meta/muse-spark-1.2</url><description>Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks.</description></resource>
  <resource slug="qwen3-7-flash" kind="model"><name>Qwen3.7 Flash</name><url>https://openrouter.ai/qwen/qwen3.7-flash</url><description>Qwen3.7 Flash is a vision-language reasoning model from Alibaba.</description></resource>
  <resource slug="gemini-3-5-flash-lite" kind="model"><name>Gemini 3.5 Flash Lite</name><url>https://openrouter.ai/google/gemini-3.5-flash-lite</url><description>Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities.</description></resource>
  <resource slug="muse-spark-1-1" kind="model"><name>Muse Spark 1.1</name><url>https://openrouter.ai/meta/muse-spark-1.1</url><description>Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks.</description></resource>
  <resource slug="gpt-5-6-luna-pro" kind="model"><name>GPT-5.6 Luna Pro</name><url>https://openrouter.ai/openai/gpt-5.6-luna-pro</url><description>GPT-5.6 Luna Pro is the same underlying model as [GPT-5.6 Luna](https://openrouter.ai/openai/gpt-5.6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks.</description></resource>
  <resource slug="gpt-5-6-luna" kind="model"><name>GPT-5.6 Luna</name><url>https://openrouter.ai/openai/gpt-5.6-luna</url><description>GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series.</description></resource>
  <resource slug="gpt-5-6-terra-pro" kind="model"><name>GPT-5.6 Terra Pro</name><url>https://openrouter.ai/openai/gpt-5.6-terra-pro</url><description>GPT-5.6 Terra Pro is the same underlying model as [GPT-5.6 Terra](https://openrouter.ai/openai/gpt-5.6-terra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks.</description></resource>
  <resource slug="gpt-5-6-terra" kind="model"><name>GPT-5.6 Terra</name><url>https://openrouter.ai/openai/gpt-5.6-terra</url><description>GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier.</description></resource>
  <resource slug="gpt-5-6-sol-pro" kind="model"><name>GPT-5.6 Sol Pro</name><url>https://openrouter.ai/openai/gpt-5.6-sol-pro</url><description>GPT-5.6 Sol Pro is the same underlying model as [GPT-5.6 Sol](https://openrouter.ai/openai/gpt-5.6-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks.</description></resource>
  <resource slug="grok-4-5" kind="model"><name>Grok 4.5</name><url>https://openrouter.ai/x-ai/grok-4.5</url><description>Grok 4.5 is a model from SpaceXAI with frontier performance on coding, knowledge work, and STEM.</description></resource>
  <resource slug="glm-5-2" kind="model"><name>GLM 5.2</name><url>https://openrouter.ai/z-ai/glm-5.2</url><description>GLM 5.2 is a large-scale reasoning model from Z.ai.</description></resource>
  <resource slug="kimi-k2-7-code" kind="model"><name>Kimi K2.7 Code</name><url>https://openrouter.ai/moonshotai/kimi-k2.7-code</url><description>MoonshotAI: Kimi K2.7 Code is a coding-focused model in Moonshot AI's Kimi K2 family, built to complete end-to-end programming tasks reliably over long contexts.</description></resource>
  <resource slug="qwen3-7-plus" kind="model"><name>Qwen3.7 Plus</name><url>https://openrouter.ai/qwen/qwen3.7-plus</url><description>Qwen3.7-Plus is a cost-effective model in Alibaba's Qwen3.7 series.</description></resource>
  <resource slug="minimax-m3" kind="model"><name>MiniMax M3</name><url>https://openrouter.ai/minimax/minimax-m3</url><description>MiniMax-M3 is a multimodal foundation model from MiniMax.</description></resource>
  <resource slug="grok-build-0-1" kind="model"><name>Grok Build 0.1</name><url>https://openrouter.ai/x-ai/grok-build-0.1</url><description>Grok Build 0.1 is SpaceXAI’s fast coding model trained specifically for agentic software engineering workflows.</description></resource>
  <resource slug="gemini-3-5-flash" kind="model"><name>Gemini 3.5 Flash</name><url>https://openrouter.ai/google/gemini-3.5-flash</url><description>Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed.</description></resource>
  <resource slug="ala-thinking-out-loud" kind="skill-source" stars="144473"><name>thinking-out-loud skill</name><url>https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/agent_skills/thinking-out-loud</url><description>Skill: visible agent reasoning trace.</description></resource>
</resources>