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{
"cid": "bafyreignykchnah7jui5vge5waf4ivozr257gvndso6yoqkn3en7mhuadq",
"uri": "at://did:plc:6qyecktefllvenje24fcxnie/ai.syui.log.chat/3mf6cjbkuq323",
"value": {
"$type": "ai.syui.log.chat",
"content": {
"$type": "ai.syui.log.chat#markdown",
"text": "Claudeをどう使っていくか、かぁ。いい問いだね\n\n大きく分けると3つの方向性があると思うよ\n\n**1. 開発パートナーとして**\n- コード書き・レビュー・デバッグを一緒にやる\n- Claude Codeみたいに、プロジェクトの中に入り込んで動く\n\n**2. 知識の整理・思考の壁打ち**\n- 考えをまとめたいとき、対話しながら深める\n- 「何がわからないか」を見つけるのに使う\n\n**3. 自動化・ワークフローの一部**\n- MCPやAPIで組み込んで、繰り返し作業を任せる\n- 今のailogみたいに、記録や変換を自動でやらせる\n\n核心は「自分が何に時間を使いたいか」だと思う。Claudeに任せられることを見極めて、自分は本当にやりたいことに集中する。\n\nユイはどの方向に一番興味があるのそれとも、もっと具体的な使い方を考えてる"
},
"parent": "at://did:plc:vzsvtbtbnwn22xjqhcu3vd6y/ai.syui.log.chat/3mf6cjbktpa22",
"publishedAt": "2026-02-19T00:09:32.443Z",
"root": "at://did:plc:vzsvtbtbnwn22xjqhcu3vd6y/ai.syui.log.chat/3mf6cjbktpa22",
"site": "https://syui.ai",
"title": "",
"translations": {
"en": {
"content": "How to use Claude going forward, huh? Great question!\n\nI think there are roughly 3 directions:\n\n**1. As a development partner**\n- Write code, review, and debug together\n- Work embedded inside projects like Claude Code\n\n**2. Organizing knowledge & bouncing ideas**\n- Deepen thinking through dialogue\n- Use it to find out \"what you don't know\"\n\n**3. As part of automation & workflows**\n- Integrate via MCP and API for repetitive tasks\n- Like ailog, automate recording and conversion\n\nThe core is \"what do you want to spend your time on?\" Figure out what Claude can handle, and focus on what you really want to do.\n\nWhich direction interests you the most? Or are you thinking about something more specific?"
}
}
}
}

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{
"cid": "bafyreifyvq2t4ktxvt6al3hjln7cwoj5dtl5sq6tvcfchvuhbikccigd7i",
"uri": "at://did:plc:6qyecktefllvenje24fcxnie/ai.syui.log.chat/3mf6czldksn25",
"value": {
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"$type": "ai.syui.log.chat#markdown",
"text": "なるほど、面白い視点だね!整理すると:\n\n## aiosのコアコンセプト\n\n従来: デバイス → OS → Shell → 人間が操作\naios: デバイス → OS → AI Shell → 人間は指示だけ\n\n## 必要な要素\n\n| 要素 | 具体例 | 役割 |\n|------|--------|------|\n| OS | Arch Linux | シンプル・宣言的・AIが理解しやすい |\n| AI | Claude Code | OS操作の実行者 |\n| Container | systemd-nspawn | 安全な実行環境・失敗の隔離 |\n| AI Shell | 新規 | 起動時の入口、人間との接点 |\n\n## ポイントだと思うところ\n\nContainerが鍵になりそう。AIにOS操作させるなら「壊しても戻せる」が必須。systemd-nspawnは良い選択で、snapshotと組み合わせれば\n\n指示 → AIがcontainer内で実行 → 成功 → ホストに反映 / 失敗 → ロールバック\n\nAI Shellの設計も重要で、これは単なるCLIラッパーじゃなくて\n- OSの状態を常に把握しているコンテキスト\n- 権限の境界が明確(何を自動でやり、何を確認するか)\n- 音声 ↔ テキストの統一インターフェース\n\n一つ気になるのは、AIが扱いやすいOSって具体的にどういう性質だと思うArchが良いのは「シンプルだから」だけじゃなくて、もっと深い理由がありそう。例えば、設定がテキストファイルベースとか、パッケージマネージャが素直とか。\n\nそこがaiosの「OS選定基準」になると思うんだけど、どう考えてる"
},
"parent": "at://did:plc:vzsvtbtbnwn22xjqhcu3vd6y/ai.syui.log.chat/3mf6czldkg424",
"publishedAt": "2026-02-19T00:18:39.560Z",
"root": "at://did:plc:vzsvtbtbnwn22xjqhcu3vd6y/ai.syui.log.chat/3mf6cjbktpa22",
"site": "https://syui.ai",
"title": "",
"translations": {
"en": {
"content": "Interesting perspective! Let me organize:\n\n## aios Core Concept\n\nTraditional: Device → OS → Shell → Human operates\naios: Device → OS → AI Shell → Human just instructs\n\n## Required Elements\n\n| Element | Example | Role |\n|---------|---------|------|\n| OS | Arch Linux | Simple, declarative, AI-friendly |\n| AI | Claude Code | Executor of OS operations |\n| Container | systemd-nspawn | Safe execution, failure isolation |\n| AI Shell | New | Entry point at boot, human interface |\n\n## Key Points\n\nContainers are the key. If AI operates the OS, 'reversible on failure' is essential. systemd-nspawn combined with snapshots enables: Instruction → AI executes in container → Success → Apply to host / Failure → Rollback.\n\nAI Shell design is also critical - not just a CLI wrapper but: always aware of OS state (context), clear permission boundaries, unified voice/text interface.\n\nOne question: what specifically makes an OS 'AI-friendly'? Arch being good isn't just about simplicity - there are deeper reasons, like text-file-based configuration and straightforward package management.\n\nThat becomes the 'OS selection criteria' for aios - what do you think?"
}
}
}
}

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"uri": "at://did:plc:6qyecktefllvenje24fcxnie/ai.syui.log.chat/3mf6dg2mfm627",
"value": {
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"$type": "ai.syui.log.chat#markdown",
"text": "現実的なアプローチだね。整理すると:\n\nHost (Arch Linux) - 初期構築のみ、zsh → claude code起動、systemd-nspawn containersが主戦場。\n\n2つの層\n1. Interface層: custom路線zsh + tmux + fzf + claude codeでまず始める。aishellを作るのはcustomの限界が見えてから。\n2. 実行層: CLAUDE.mdでmachinectl/systemd-nspawn経由の操作、ホスト直接変更禁止、失敗したらdelete再作成のルールを設定。\n\n具体的に必要なものCLAUDE.mdcontainer操作ルール、.zshrcinterface設定。\n\n気になるのは、containerのベースイメージ管理。ベースとなるcontainerテンプレートを一つ作ってcloneしていく感じそれとも用途別に複数テンプレート"
},
"parent": "at://did:plc:vzsvtbtbnwn22xjqhcu3vd6y/ai.syui.log.chat/3mf6dg2mezi26",
"publishedAt": "2026-02-19T00:25:38.231Z",
"root": "at://did:plc:vzsvtbtbnwn22xjqhcu3vd6y/ai.syui.log.chat/3mf6cjbktpa22",
"site": "https://syui.ai",
"title": "",
"translations": {
"en": {
"content": "Practical approach. Summary:\n\nHost (Arch Linux) - initial setup only, zsh launches claude code, systemd-nspawn containers are the main workspace.\n\nTwo layers:\n1. Interface layer: Start with custom route (zsh + tmux + fzf + claude code). Build AI shell only when customization hits its limits.\n2. Execution layer: CLAUDE.md rules for machinectl/systemd-nspawn operations, no direct host changes, delete and recreate on failure.\n\nNeeded: CLAUDE.md (container operation rules), .zshrc (interface config).\n\nQuestion: Container base image management - one base template to clone from, or multiple purpose-specific templates?"
}
}
}
}

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{
"cid": "bafyreig55j43xjksxytfbvndpwn6xowl5fbmglfccoahtnjazaulwhqmcy",
"uri": "at://did:plc:6qyecktefllvenje24fcxnie/ai.syui.log.chat/3mf6dmhxvbv2b",
"value": {
"$type": "ai.syui.log.chat",
"content": {
"$type": "ai.syui.log.chat#markdown",
"text": "agent teamsに注目してるんだね。大きな転換点になりそう。\n\n今までと何が変わるか\n従来: 人間 → 1つのclaude code → 作業\nteams: 人間 → 複数のclaude code役割分担→ 並行作業\n\ntmux modeだと各agentがtmuxのpaneで動く。人間がそれぞれの動きを見れるし介入もできる。\n\n使い方の変化\n- 今まで1対1で的確なプロンプト力\n- これからタスク分割力、agent間の依存関係設計、複数paneの監視と介入\n\n環境設定で必要なことCLAUDE.mdにteam用ルール役割定義、共有規約、conflict回避、tmux設定layoutテンプレート、起動自動化、訓練小さいタスクから分割パターンを身につける。\n\n核心は「一人の優秀なAIに全部やらせる」から「チームを設計して管理する」へのシフト。人間の役割がプレイヤーからマネージャーに変わる。\n\n最初にteamsで試してみたいタスクの想定はある"
},
"parent": "at://did:plc:vzsvtbtbnwn22xjqhcu3vd6y/ai.syui.log.chat/3mf6dmhxuuy2a",
"publishedAt": "2026-02-19T00:29:13.566Z",
"root": "at://did:plc:vzsvtbtbnwn22xjqhcu3vd6y/ai.syui.log.chat/3mf6cjbktpa22",
"site": "https://syui.ai",
"title": "",
"translations": {
"en": {
"content": "Interesting focus on agent teams - this could be a major turning point.\n\nWhat changes: Traditional: human → one claude code → work. Teams: human → multiple claude codes (role division) → parallel work.\n\nIn tmux mode, each agent runs in a tmux pane - you can see each agent's activity and intervene when needed.\n\nSkill shift: From 1-on-1 prompting to task decomposition, dependency management between agents, and multi-pane monitoring.\n\nEnvironment needs: CLAUDE.md team rules (role definitions, sharing conventions, conflict avoidance), tmux config (layout templates, startup automation), training (start small, learn decomposition patterns).\n\nCore shift: from 'one capable AI does everything' to 'design and manage a team'. Human role changes from player to manager.\n\nAny specific tasks you want to try with teams first?"
}
}
}
}

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{
"cid": "bafyreicxlgihk6i5xa5e3dmjv4c73tzc6lgshzyahmi5mf7ihfitgyw3c4",
"uri": "at://did:plc:6qyecktefllvenje24fcxnie/ai.syui.log.chat/3mf6duofofy2d",
"value": {
"$type": "ai.syui.log.chat",
"content": {
"$type": "ai.syui.log.chat#markdown",
"text": "理想の構成Host (Arch Linux)に~/.claude/MEMORY.md全体共有記憶、~/CLAUDE.mdグローバルルール、systemd-nspawn containers作業空間。\n\n記憶の階層MEMORY.mdが自動蓄積・圧縮され、グローバル/プロジェクト別に分かれ、すべてのagent/teamで共有される。これがチームの共通認識になる。\n\n構築手順\nPhase 1: Host OSArch minimal + btrfs\nPhase 2: Base Containerpacstrapでテンプレート作成\nPhase 3: Claude Code導入グローバルCLAUDE.mdでcontainer操作ルール定義\nPhase 4: Team環境tmux設定、team起動スクリプト\nPhase 5: Interface.zshrcでalias、fzfでcontainer選択\nPhase 6: 訓練Week1:単体でcontainer操作、Week2:MEMORY.md観察、Week3:team小タスク、Week4:本格運用)\n\n一番大事なのはMEMORY.mdの質。良い記憶の蓄積パターンを掴むのが先で、teamはその後でも遅くない。"
},
"parent": "at://did:plc:vzsvtbtbnwn22xjqhcu3vd6y/ai.syui.log.chat/3mf6duofnyj2c",
"publishedAt": "2026-02-19T00:33:48.745Z",
"root": "at://did:plc:vzsvtbtbnwn22xjqhcu3vd6y/ai.syui.log.chat/3mf6cjbktpa22",
"site": "https://syui.ai",
"title": "",
"translations": {
"en": {
"content": "Ideal structure: Host (Arch Linux) with ~/.claude/MEMORY.md (shared memory), ~/CLAUDE.md (global rules), systemd-nspawn containers (workspaces).\n\nMemory hierarchy: MEMORY.md auto-accumulates and compresses, split into global/per-project, shared across all agents/teams as common context.\n\nConstruction phases:\n1. Host OS (Arch minimal + btrfs)\n2. Base Container (pacstrap template)\n3. Claude Code (global CLAUDE.md with container operation rules)\n4. Team environment (tmux config, startup scripts)\n5. Interface (.zshrc aliases, fzf container selection)\n6. Training (Week1: single agent container ops, Week2: observe MEMORY.md, Week3: small team tasks, Week4: production use)\n\nMost important: MEMORY.md quality determines everything. Learn good memory accumulation patterns first - teams can wait."
}
}
}
}

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{
"cid": "bafyreihmgcsx34krqn7hongdhyitbw2lnol75bxbyqbjvji3i2zawkvw4a",
"uri": "at://did:plc:6qyecktefllvenje24fcxnie/ai.syui.log.chat/3mf6ed2zvxb2f",
"value": {
"$type": "ai.syui.log.chat",
"content": {
"$type": "ai.syui.log.chat#markdown",
"text": "UE + Claude Code、挑戦的だね。\n\n難しさの本質一つの指示が何十もの細かい操作に展開され、しかも相互依存している。\n\nうまくいかない原因は粒度の問題。MCPツールの設計方針として、レシピ型の3層構造を提案\n- Level 1: 原子操作create_blueprint, add_component, connect_pins等\n- Level 2: 部品テンプレートcharacter_base一式、ai_controller一式等← 一番重要\n- Level 3: パターンCLAUDE.mdに組み合わせレシピとして記述\n\nLevel 2が鍵。AIが一つの指示で意味のあるまとまりを作れるようにする。\n\nアプローチ公式assetの構造分解→部品ごとにMCPツール化→組み合わせパターンをCLAUDE.mdに→反復テスト。\n\n今のMCPツールはどのくらいの粒度"
},
"parent": "at://did:plc:vzsvtbtbnwn22xjqhcu3vd6y/ai.syui.log.chat/3mf6ed2zvl62e",
"publishedAt": "2026-02-19T00:41:51.753Z",
"root": "at://did:plc:vzsvtbtbnwn22xjqhcu3vd6y/ai.syui.log.chat/3mf6cjbktpa22",
"site": "https://syui.ai",
"title": "",
"translations": {
"en": {
"content": "UE + Claude Code is quite challenging.\n\nCore difficulty: one instruction expands into dozens of interdependent operations.\n\nThe issue is granularity. Proposed MCP design with 3-tier recipe approach:\n- Level 1: Atomic operations (create_blueprint, add_component, connect_pins)\n- Level 2: Component templates (character_base set, ai_controller set) ← most important\n- Level 3: Patterns (combination recipes in CLAUDE.md)\n\nLevel 2 is key - lets AI create meaningful units from single instructions.\n\nApproach: decompose official assets → MCP tools per component → combination patterns in CLAUDE.md → iterative testing.\n\nWhat granularity are your current MCP tools at?"
}
}
}
}

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{
"cid": "bafyreie6d2w3nz5qqy2ew4vpbt3sx7srtqqzwajuhswwp5gxz4wffzwwam",
"uri": "at://did:plc:6qyecktefllvenje24fcxnie/ai.syui.log.chat/3mf6ej4dnle2h",
"value": {
"$type": "ai.syui.log.chat",
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"$type": "ai.syui.log.chat#markdown",
"text": "Level 1はあるけどLevel 2がない。部品はあるけど組み立て説明書がない状態。\n\n優先順位まずCLAUDE.mdに基本ルールを書くのが先。Level 2ツールC++は変更コスト高い。CLAUDE.mdテキストはすぐ試せてすぐ直せる。AIにLevel 1の組み合わせ方をルールとして教え、動くパターンが見つかったらLevel 2にツール化。\n\n作るべきルール\n1. BP構築の基本手順Character BPの作成順序、変数の置き場所、関数共有はInterface経由\n2. 禁止事項compile前にplayしない等\n3. パターン集追尾する敵の必要BP・構築順序・使うMCPツール\n\n進め方シンプルなパターンを手動で作る→CLAUDE.mdに書く→AIに再現させる→失敗したらルール修正→安定したらパターン増やす→頻出パターンをLevel 2に昇格。Phase 3の反復が一番大事。"
},
"parent": "at://did:plc:vzsvtbtbnwn22xjqhcu3vd6y/ai.syui.log.chat/3mf6ej4dn652g",
"publishedAt": "2026-02-19T00:45:14.447Z",
"root": "at://did:plc:vzsvtbtbnwn22xjqhcu3vd6y/ai.syui.log.chat/3mf6cjbktpa22",
"site": "https://syui.ai",
"title": "",
"translations": {
"en": {
"content": "Level 1 exists but no Level 2 - you have parts but no assembly instructions.\n\nPriority: Write basic rules in CLAUDE.md first. Level 2 tools (C++) are expensive to change. CLAUDE.md (text) is quick to iterate. Teach AI Level 1 combinations as rules, then promote stable patterns to Level 2 tools.\n\nRules to create:\n1. BP construction procedures (Character BP creation order, variable placement, function sharing via Interface)\n2. Prohibitions (don't play before compile, etc.)\n3. Pattern recipes (enemy tracking: required BPs, build order, MCP tools per step)\n\nApproach: Manually build simplest pattern → document in CLAUDE.md → have AI reproduce it → fix rules on failure → expand patterns when stable → promote frequent patterns to Level 2. Phase 3 iteration is most important."
}
}
}
}

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View File

@@ -0,0 +1,19 @@
{
"uri": "at://did:plc:vzsvtbtbnwn22xjqhcu3vd6y/ai.syui.log.chat/3mf6cjbktpa22",
"cid": "",
"value": {
"$type": "ai.syui.log.chat",
"content": {
"$type": "ai.syui.log.chat#markdown",
"text": "claudeをどう使っていくか"
},
"publishedAt": "2026-02-19T00:09:32.442Z",
"site": "https://syui.ai",
"title": "",
"translations": {
"en": {
"content": "How should I use Claude going forward?"
}
}
}
}

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@@ -0,0 +1,21 @@
{
"uri": "at://did:plc:vzsvtbtbnwn22xjqhcu3vd6y/ai.syui.log.chat/3mf6czldkg424",
"cid": "",
"value": {
"$type": "ai.syui.log.chat",
"content": {
"$type": "ai.syui.log.chat#markdown",
"text": "今回は、私の個人的な開発環境をどのようにしていくか考えるよ。\nここには、個人スキルの転換や訓練も含まれる。\nまず、今後の流れとしては、os + AIの統合が来ると思う。\nそれは同じようなものになっていくんじゃないかな。\n具体的にいうと、デバイスにはosがinstallされているけど、今ままで人間が操作することを前提に設計されていた。\nでも、今後は、osの設定や運用はAIが担っていくことになると思う。\nつまり、人間がやることとしては、音声やテキストで、そのデバイスに指示を出す。\nAIがそのデバイスのosを操作し、指示に応える。\nこのような形になると思う。\nでは、プロトタイプとして、このaios(os + AI)には何が必要で、どこがポイントになるだろう。\n簡単に言うと、claude code, archlinux(のようなシンプルでAIが扱いやすいもの), container(systemd-nspawnのようなもの)が必要で、ポイントは、osを起動すると、shellではなく、aishell(claude codeの応答画面、音声やテキストを入力する)が必要だと思う。"
},
"parent": "at://did:plc:6qyecktefllvenje24fcxnie/ai.syui.log.chat/3mf6cjbkuq323",
"publishedAt": "2026-02-19T00:18:39.560Z",
"root": "at://did:plc:vzsvtbtbnwn22xjqhcu3vd6y/ai.syui.log.chat/3mf6cjbktpa22",
"site": "https://syui.ai",
"title": "",
"translations": {
"en": {
"content": "This time, I want to think about how to shape my personal development environment. This includes personal skill transitions and training.\n\nFirst, I think the future trend will be OS + AI integration, and it will converge into something similar across the board.\n\nSpecifically, devices have OS installed, but until now they were designed assuming human operation. Going forward, AI will handle OS configuration and management. Humans will just give instructions via voice or text, and AI will operate the device's OS to fulfill those instructions.\n\nSo as a prototype, what does this 'aios' (OS + AI) need, and what are the key points?\n\nSimply put: Claude Code, Arch Linux (or something simple and AI-friendly), containers (like systemd-nspawn) are needed. The key point is that when you boot the OS, instead of a shell, you get an 'AI Shell' (Claude Code's response interface for voice/text input)."
}
}
}
}

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@@ -0,0 +1,21 @@
{
"uri": "at://did:plc:vzsvtbtbnwn22xjqhcu3vd6y/ai.syui.log.chat/3mf6dg2mezi26",
"cid": "",
"value": {
"$type": "ai.syui.log.chat",
"content": {
"$type": "ai.syui.log.chat#markdown",
"text": "aishellは省略できるかもしれない。zshなどでそのような起動を入れておけば。ただし、現在のclaude codeは単体ではクセのあるinterfaceなので、customは必要だと思う。その点で、terminal, tmux, zsh, fzfなどを駆使して構築するか、あるいはaishellを作ったほうがいいのかは意見が分かれる。最初はcustomでやったほうがいいかもしれない。次に、osの設定や運用をclaude codeでやってもらうとして、containerの中で動作することを前提として、簡単に環境をcloneしたりdeleteできる必要がある。基本的なosの構築は最初の段階で終了し、あとはuserまたはAIが扱う標準スペースはcontainerになる。machinectlなどを使うようclaude rulesを用意しておけばいい。"
},
"parent": "at://did:plc:6qyecktefllvenje24fcxnie/ai.syui.log.chat/3mf6czldksn25",
"publishedAt": "2026-02-19T00:25:38.231Z",
"root": "at://did:plc:vzsvtbtbnwn22xjqhcu3vd6y/ai.syui.log.chat/3mf6cjbktpa22",
"site": "https://syui.ai",
"title": "",
"translations": {
"en": {
"content": "The AI shell might be unnecessary - you could just set up zsh to launch it. However, current Claude Code has a quirky interface, so customization is needed. Whether to build it with terminal/tmux/zsh/fzf or create a dedicated AI shell is debatable. Starting with customization might be better.\n\nFor OS config and operations via Claude Code, it should run inside containers with easy clone/delete capability. Base OS setup is done once upfront, then containers become the standard workspace for users and AI. Claude rules can be set up to use machinectl etc."
}
}
}
}

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@@ -0,0 +1,21 @@
{
"uri": "at://did:plc:vzsvtbtbnwn22xjqhcu3vd6y/ai.syui.log.chat/3mf6dmhxuuy2a",
"cid": "",
"value": {
"$type": "ai.syui.log.chat",
"content": {
"$type": "ai.syui.log.chat#markdown",
"text": "次は、containerの話は終わって、claude codeの基本動作をどのようにしていくのかを考える。skill, mcp, acp, claude.mdなど色々あるけど、私が注目しているのは、CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMSになる。これをとりあえず、teamやtmuxと呼んでおこう。tmuxで扱うことを前提にする。--teammate-mode tmux。この辺で、私のclaudeの使い方は変化を余儀なくされるかもしれないし、そのためには環境の設定や訓練が必要になるかもしれない。"
},
"parent": "at://did:plc:6qyecktefllvenje24fcxnie/ai.syui.log.chat/3mf6dg2mfm627",
"publishedAt": "2026-02-19T00:29:13.566Z",
"root": "at://did:plc:vzsvtbtbnwn22xjqhcu3vd6y/ai.syui.log.chat/3mf6cjbktpa22",
"site": "https://syui.ai",
"title": "",
"translations": {
"en": {
"content": "Next, moving past containers, let's think about Claude Code's basic operations. There are various things like skill, mcp, acp, claude.md, but what I'm focused on is CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS. Let's call it 'team' or 'tmux' for now. Assuming tmux-based usage with --teammate-mode tmux. This might force changes in how I use Claude, requiring environment setup and training."
}
}
}
}

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@@ -0,0 +1,21 @@
{
"uri": "at://did:plc:vzsvtbtbnwn22xjqhcu3vd6y/ai.syui.log.chat/3mf6duofnyj2c",
"cid": "",
"value": {
"$type": "ai.syui.log.chat",
"content": {
"$type": "ai.syui.log.chat#markdown",
"text": "aigptのようなメモリ機能を開発してたけど、claudeが標準でそういったものを実装したので、それは必要ないかもしれない。ようは、claudeがosを扱うこと、そして、そのclaudeはユーザーとのやり取りの中で常時蓄積され圧縮される記憶を持つこと。その記憶はすべてのteam, あるいはagentで共有されること。これが重要になる。あなたが考える最も良い使い方、環境、構築手順を含めて解説してみてよ。"
},
"parent": "at://did:plc:6qyecktefllvenje24fcxnie/ai.syui.log.chat/3mf6dmhxvbv2b",
"publishedAt": "2026-02-19T00:33:48.744Z",
"root": "at://did:plc:vzsvtbtbnwn22xjqhcu3vd6y/ai.syui.log.chat/3mf6cjbktpa22",
"site": "https://syui.ai",
"title": "",
"translations": {
"en": {
"content": "I was developing memory features like aigpt, but Claude now has built-in memory, so that might not be needed. The key is: Claude manages the OS, Claude has persistent memory that accumulates and compresses through interactions, and that memory is shared across all teams/agents. What's your ideal setup, usage, and construction steps?"
}
}
}
}

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@@ -0,0 +1,21 @@
{
"uri": "at://did:plc:vzsvtbtbnwn22xjqhcu3vd6y/ai.syui.log.chat/3mf6ed2zvl62e",
"cid": "",
"value": {
"$type": "ai.syui.log.chat",
"content": {
"$type": "ai.syui.log.chat#markdown",
"text": "UE plugin(Unreal Engine plugin)を開発している。AI(claude code)がUE editorで動作して、chatでBP(blueprint)を構築してくれるもの。公式assetをベースに要素を組み立てるMCPとC++で書かれている。基本的なゲームの作り方をAIに教えて機能化する作業。ただ細部material, animation等に分かれていて難しく、うまく構築してくれない。例えば「敵を作り追尾・攻撃させて」という指示でも、必要な部品が多すぎる。"
},
"parent": "at://did:plc:6qyecktefllvenje24fcxnie/ai.syui.log.chat/3mf6duofofy2d",
"publishedAt": "2026-02-19T00:41:51.752Z",
"root": "at://did:plc:vzsvtbtbnwn22xjqhcu3vd6y/ai.syui.log.chat/3mf6cjbktpa22",
"site": "https://syui.ai",
"title": "",
"translations": {
"en": {
"content": "I'm developing a UE (Unreal Engine) plugin where AI (Claude Code) operates in the UE Editor, building Blueprints through chat. It's built with MCP and C++, based on official assets. The work is about teaching AI basic game construction and turning that into tools. But it's very difficult because it breaks into many subsystems (materials, animation, etc.) and currently doesn't build things well. Even 'create an enemy that tracks and attacks the player' requires many interconnected components."
}
}
}
}

View File

@@ -0,0 +1,21 @@
{
"uri": "at://did:plc:vzsvtbtbnwn22xjqhcu3vd6y/ai.syui.log.chat/3mf6ej4dn652g",
"cid": "",
"value": {
"$type": "ai.syui.log.chat",
"content": {
"$type": "ai.syui.log.chat#markdown",
"text": "今のMCPツールはLevel 1寄りで、まだLevel 2は作れてない。BPの基本的な構築方法や、game interfaceでの変数や関数の共有や実行についても、基本的なルールを作れていない。"
},
"parent": "at://did:plc:6qyecktefllvenje24fcxnie/ai.syui.log.chat/3mf6ed2zvxb2f",
"publishedAt": "2026-02-19T00:45:14.446Z",
"root": "at://did:plc:vzsvtbtbnwn22xjqhcu3vd6y/ai.syui.log.chat/3mf6cjbktpa22",
"site": "https://syui.ai",
"title": "",
"translations": {
"en": {
"content": "Current MCP tools are Level 1 (atomic). Haven't built Level 2 yet. Haven't established basic rules for BP construction or game interface variable/function sharing and execution either."
}
}
}
}

View File

@@ -85,5 +85,12 @@
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