所有目錄變更的公開分類帳——等級調整、KYC 重測、贊助啟用、事件更新。我們把它記下來，是為了讓訪客能驗證我們所說的「編輯防火牆」確實成立。
清單本身就是產品；這頁是它變動的收據。
xmr.club
{
"field": "fees_page",
"summary": "New Team plan launched at $25/seat/mo (5-seat minimum) plus Enterprise plan with custom pricing. Previously 'Team' was 'Coming soon'. New team billing/usage model with shared balance. Material change ",
"url_source": "discovered_conventional"
}{
"field": "fees_page",
"summary": "New Max plan sign-ups paused due to capacity constraints. Added 'Plans' FAQ explaining pause and new 'Accounts' FAQ stating one-account-per-person policy. Material change affecting service availabilit",
"url_source": "discovered_conventional"
}{
"field": "fees_page",
"summary": "New Team plan tier added between Max and FAQ — 'Coming soon' enterprise offering with SSO, centralized billing, model access controls, MDM installer, and dedicated Slack support. Pricing not yet publi",
"url_source": "discovered_conventional"
}{"provider":{"id":"ollama","category":"ai","subcategory":"Local Runtime","name":"Ollama","tagline":"Run open-source LLMs locally — no network, no API key, no telemetry.","review":"**Local-first LLM runtime** that pulls quantised open-source model weights and exposes them through an OpenAI-compatible API on `localhost`. Listed at **Grade A** because Ollama is the canonical \"I want OpenAI-quality output without sending my prompts anywhere\" answer for the ~80% of users who don't want to compile `llama.cpp` themselves — MIT-licensed, no account anywhere in the flow, no telemetry on the inference path, and the inference itself never leaves your machine. The strongest privacy posture available in this directory because there is no operator to trust on the data path.\n\n**What it is.** Ollama is a desktop + server application that wraps the `llama.cpp` inference engine in a clean CLI (`ollama run <model>`, `ollama serve`), a model registry (`ollama.com/library` hosts quantised GGUF weights {"provider":{"id":"ollama","category":"ai","subcategory":"Local Runtime","name":"Ollama","tagline":"Run open-source LLMs locally — no network, no API key, no telemetry.","review":"**Local-first LLM runtime** that pulls quantised open-source model weights and exposes them through an OpenAI-compatible API on `localhost`. Listed at **Grade A** because Ollama is the canonical \"I want OpenAI-quality output without sending my prompts anywhere\" answer for the ~80% of users who don't want to compile `llama.cpp` themselves — MIT-licensed, no account anywhere in the flow, no telemetry on the inference path, and the inference itself never leaves your machine. The strongest privacy posture available in this directory because there is no operator to trust on the data path.\n\n**What it is.** Ollama is a desktop + server application that wraps the `llama.cpp` inference engine in a clean CLI (`ollama run <model>`, `ollama serve`), a model registry (`ollama.com/library` hosts quantised GGUF weights {"provider":{"id":"ollama","category":"ai","subcategory":"Local Runtime","name":"Ollama","tagline":"Run open-source LLMs locally — no network, no API key, no telemetry.","review":"**Local-first LLM runtime** that pulls quantised open-source model weights and exposes them through an OpenAI-compatible API on `localhost`. Listed at **Grade A** because Ollama is the canonical \"I want OpenAI-quality output without sending my prompts anywhere\" answer for the ~80% of users who don't want to compile `llama.cpp` themselves — MIT-licensed, no account anywhere in the flow, no telemetry on the inference path, and the inference itself never leaves your machine. The strongest privacy posture available in this directory because there is no operator to trust on the data path.\n\n**What it is.** Ollama is a desktop + server application that wraps the `llama.cpp` inference engine in a clean CLI (`ollama run <model>`, `ollama serve`), a model registry (`ollama.com/library` hosts quantised GGUF weights {"provider":{"id":"ollama","category":"ai","subcategory":"Local Runtime","name":"Ollama","tagline":"Run open-source LLMs locally — no network, no API key, no telemetry.","review":"**Local-first LLM runtime** that pulls quantised open-source model weights and exposes them through an OpenAI-compatible API on `localhost`. Listed at **Grade A** because Ollama is the canonical \"I want OpenAI-quality output without sending my prompts anywhere\" answer for the ~80% of users who don't want to compile `llama.cpp` themselves — MIT-licensed, no account anywhere in the flow, no telemetry on the inference path, and the inference itself never leaves your machine. The strongest privacy posture available in this directory because there is no operator to trust on the data path.\n\n**What it is.** Ollama is a desktop + server application that wraps the `llama.cpp` inference engine in a clean CLI (`ollama run <model>`, `ollama serve`), a model registry (`ollama.com/library` hosts quantised GGUF weights {"provider":{"id":"ollama","category":"ai","subcategory":"Local Runtime","name":"Ollama","tagline":"Run open-source LLMs locally — no network, no API key, no telemetry.","review":"**Local-first LLM runtime** that pulls quantised open-source model weights and exposes them through an OpenAI-compatible API on `localhost`. Listed at **Grade A** because Ollama is the canonical \"I want OpenAI-quality output without sending my prompts anywhere\" answer for the ~80% of users who don't want to compile `llama.cpp` themselves — MIT-licensed, no account anywhere in the flow, no telemetry on the inference path, and the inference itself never leaves your machine. The strongest privacy posture available in this directory because there is no operator to trust on the data path.\n\n**What it is.** Ollama is a desktop + server application that wraps the `llama.cpp` inference engine in a clean CLI (`ollama run <model>`, `ollama serve`), a model registry (`ollama.com/library` hosts quantised GGUF weights