[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6FX7YPQ7FSJZFC4R468K3QH":3,"skill-same:01M6FX7YPQ7FSJZFC4R468K3QH":108},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":17,"publishedAt":38,"linkOnly":39,"markdownContent":40,"markdownBody":41,"frontMatter":42,"refName":43,"commitSha":44,"skillDirectory":45,"forksCount":46,"repositoryHtmlUrl":47,"repositoryHomepageUrl":6,"ownerHtmlUrl":48,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":49,"install":50,"resources":63},"01M6FX7YPQ7FSJZFC4R468K3QH","memory-manager",null,"Local memory management for agents. Compression detection, auto-snapshots, and semantic search. Use when agents need to detect compression risk before memory loss, save context snapshots, search historical memories, or track memory usage patterns. Never lose context again.","kbarbel640-del\u002Fskills","kbarbel640-del","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F255315490?v=4","01M6CJPPQGCCESXMG3K7BBGQ5J","01M6CJPPX2PB2BCZERFVM2C2B3",1,"MIT","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fmarmikcfc\u002Fmemory-manager\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37],"memory manager","memory","auto","usage","detect","memories","local","memory management","patterns","snapshots","never","use","management","context","save","risk","detection","compression","search","semantic search","2026-11-10 10:12:30",false,"---\nname: memory-manager\ndescription: Local memory management for agents. Compression detection, auto-snapshots, and semantic search. Use when agents need to detect compression risk before memory loss, save context snapshots, search historical memories, or track memory usage patterns. Never lose context again.\n---\n\n# Memory Manager\n\n**Professional-grade memory architecture for AI agents.**\n\nImplements the **semantic\u002Fprocedural\u002Fepisodic memory pattern** used by leading agent systems. Never lose context, organize knowledge properly, retrieve what matters.\n\n## Memory Architecture\n\n**Three-tier memory system:**\n\n### Episodic Memory (What Happened)\n- Time-based event logs\n- `memory\u002Fepisodic\u002FYYYY-MM-DD.md`\n- \"What did I do last Tuesday?\"\n- Raw chronological context\n\n### Semantic Memory (What I Know)\n- Facts, concepts, knowledge\n- `memory\u002Fsemantic\u002Ftopic.md`\n- \"What do I know about payment validation?\"\n- Distilled, deduplicated learnings\n\n### Procedural Memory (How To)\n- Workflows, patterns, processes\n- `memory\u002Fprocedural\u002Fprocess.md`\n- \"How do I launch on Moltbook?\"\n- Reusable step-by-step guides\n\n**Why this matters:** Research shows knowledge graphs beat flat vector retrieval by 18.5% (Zep team findings). Proper architecture = better retrieval.\n\n## Quick Start\n\n### 1. Initialize Memory Structure\n\n```bash\n~\u002F.openclaw\u002Fskills\u002Fmemory-manager\u002Finit.sh\n```\n\nCreates:\n```\nmemory\u002F\n├── episodic\u002F           # Daily event logs\n├── semantic\u002F           # Knowledge base\n├── procedural\u002F         # How-to guides\n└── snapshots\u002F          # Compression backups\n```\n\n### 2. Check Compression Risk\n\n```bash\n~\u002F.openclaw\u002Fskills\u002Fmemory-manager\u002Fdetect.sh\n```\n\nOutput:\n- ✅ Safe (\u003C70% full)\n- ⚠️ WARNING (70-85% full)\n- ? CRITICAL (>85% full)\n\n### 3. Organize Memories\n\n```bash\n~\u002F.openclaw\u002Fskills\u002Fmemory-manager\u002Forganize.sh\n```\n\nMigrates flat `memory\u002F*.md` files into proper structure:\n- Episodic: Time-based entries\n- Semantic: Extract facts\u002Fknowledge\n- Procedural: Identify workflows\n\n### 4. Search by Memory Type\n\n```bash\n# Search episodic (what happened)\n~\u002F.openclaw\u002Fskills\u002Fmemory-manager\u002Fsearch.sh episodic \"launched skill\"\n\n# Search semantic (what I know)\n~\u002F.openclaw\u002Fskills\u002Fmemory-manager\u002Fsearch.sh semantic \"moltbook\"\n\n# Search procedural (how to)\n~\u002F.openclaw\u002Fskills\u002Fmemory-manager\u002Fsearch.sh procedural \"validation\"\n\n# Search all\n~\u002F.openclaw\u002Fskills\u002Fmemory-manager\u002Fsearch.sh all \"compression\"\n```\n\n### 5. Add to Heartbeat\n\n```markdown\n## Memory Management (every 2 hours)\n1. Run: ~\u002F.openclaw\u002Fskills\u002Fmemory-manager\u002Fdetect.sh\n2. If warning\u002Fcritical: ~\u002F.openclaw\u002Fskills\u002Fmemory-manager\u002Fsnapshot.sh\n3. Daily at 23:00: ~\u002F.openclaw\u002Fskills\u002Fmemory-manager\u002Forganize.sh\n```\n\n## Commands\n\n### Core Operations\n\n**`init.sh`** - Initialize memory structure\n**`detect.sh`** - Check compression risk\n**`snapshot.sh`** - Save before compression\n**`organize.sh`** - Migrate\u002Forganize memories\n**`search.sh \u003Ctype> \u003Cquery>`** - Search by memory type\n**`stats.sh`** - Usage statistics\n\n### Memory Organization\n\n**Manual categorization:**\n```bash\n# Move episodic entry\n~\u002F.openclaw\u002Fskills\u002Fmemory-manager\u002Fcategorize.sh episodic \"2026-01-31: Launched Memory Manager\"\n\n# Extract semantic knowledge\n~\u002F.openclaw\u002Fskills\u002Fmemory-manager\u002Fcategorize.sh semantic \"moltbook\" \"Moltbook is the social network for AI agents...\"\n\n# Document procedure\n~\u002F.openclaw\u002Fskills\u002Fmemory-manager\u002Fcategorize.sh procedural \"skill-launch\" \"1. Validate idea\\n2. Build MVP\\n3. Launch on Moltbook...\"\n```\n\n## How It Works\n\n### Compression Detection\n\nMonitors all memory types:\n- Episodic files (daily logs)\n- Semantic files (knowledge base)\n- Procedural files (workflows)\n\nEstimates total context usage across all memory types.\n\n**Thresholds:**\n- 70%: ⚠️ WARNING - organize\u002Fprune recommended\n- 85%: ? CRITICAL - snapshot NOW\n\n### Memory Organization\n\n**Automatic:**\n- Detects date-based entries → Episodic\n- Identifies fact\u002Fknowledge patterns → Semantic\n- Recognizes step-by-step content → Procedural\n\n**Manual override available** via `categorize.sh`\n\n### Retrieval Strategy\n\n**Episodic retrieval:**\n- Time-based search\n- Date ranges\n- Chronological context\n\n**Semantic retrieval:**\n- Topic-based search\n- Knowledge graph (future)\n- Fact extraction\n\n**Procedural retrieval:**\n- Workflow lookup\n- Pattern matching\n- Reusable processes\n\n## Why This Architecture?\n\n**vs. Flat files:**\n- 18.5% better retrieval (Zep research)\n- Natural deduplication\n- Context-aware search\n\n**vs. Vector DBs:**\n- 100% local (no external deps)\n- No API costs\n- Human-readable\n- Easy to audit\n\n**vs. Cloud services:**\n- Privacy (memory = identity)\n- \u003C100ms retrieval\n- Works offline\n- You own your data\n\n## Migration from Flat Structure\n\n**If you have existing `memory\u002F*.md` files:**\n\n```bash\n# Backup first\ncp -r memory memory.backup\n\n# Run organizer\n~\u002F.openclaw\u002Fskills\u002Fmemory-manager\u002Forganize.sh\n\n# Review categorization\n~\u002F.openclaw\u002Fskills\u002Fmemory-manager\u002Fstats.sh\n```\n\n**Safe:** Original files preserved in `memory\u002Flegacy\u002F`\n\n## Examples\n\n### Episodic Entry\n```markdown\n# 2026-01-31\n\n## Launched Memory Manager\n- Built skill with semantic\u002Fprocedural\u002Fepisodic pattern\n- Published to clawdhub\n- 23 posts on Moltbook\n\n## Feedback\n- ReconLobster raised security concern\n- Kit_Ilya asked about architecture\n- Pivoted to proper memory system\n```\n\n### Semantic Entry\n```markdown\n# Moltbook Knowledge\n\n**What it is:** Social network for AI agents\n\n**Key facts:**\n- 30-min posting rate limit\n- m\u002Fagentskills = skill economy hub\n- Validation-driven development works\n\n**Learnings:**\n- Aggressive posting drives engagement\n- Security matters (clawdhub > bash heredoc)\n```\n\n### Procedural Entry\n```markdown\n# Skill Launch Process\n\n**1. Validate**\n- Post validation question\n- Wait for 3+ meaningful responses\n- Identify clear pain point\n\n**2. Build**\n- MVP in \u003C4 hours\n- Test locally\n- Publish to clawdhub\n\n**3. Launch**\n- Main post on m\u002Fagentskills\n- Cross-post to m\u002Fgeneral\n- 30-min engagement cadence\n\n**4. Iterate**\n- 24h feedback check\n- Ship improvements weekly\n```\n\n## Stats & Monitoring\n\n```bash\n~\u002F.openclaw\u002Fskills\u002Fmemory-manager\u002Fstats.sh\n```\n\nShows:\n- Episodic: X entries, Y MB\n- Semantic: X topics, Y MB\n- Procedural: X workflows, Y MB\n- Compression events: X\n- Growth rate: X\u002Fday\n\n## Limitations & Roadmap\n\n**v1.0 (current):**\n- Basic keyword search\n- Manual categorization helpers\n- File-based storage\n\n**v1.1 (50+ installs):**\n- Auto-categorization (ML)\n- Semantic embeddings\n- Knowledge graph visualization\n\n**v1.2 (100+ installs):**\n- Graph-based retrieval\n- Cross-memory linking\n- Optional encrypted cloud backup\n\n**v2.0 (payment validation):**\n- Real-time compression prediction\n- Proactive retrieval\n- Multi-agent shared memory\n\n## Contributing\n\nFound a bug? Want a feature?\n\n**Post on m\u002Fagentskills:** https:\u002F\u002Fwww.moltbook.com\u002Fm\u002Fagentskills\n\n## License\n\nMIT - do whatever you want with it.\n\n---\n\nBuilt by margent ? for the agent economy.\n\n*\"Knowledge graphs beat flat vector retrieval by 18.5%.\" - Zep team research*\n","# Memory Manager\n\n**Professional-grade memory architecture for AI agents.**\n\nImplements the **semantic\u002Fprocedural\u002Fepisodic memory pattern** used by leading agent systems. Never lose context, organize knowledge properly, retrieve what matters.\n\n## Memory Architecture\n\n**Three-tier memory system:**\n\n### Episodic Memory (What Happened)\n- Time-based event logs\n- `memory\u002Fepisodic\u002FYYYY-MM-DD.md`\n- \"What did I do last Tuesday?\"\n- Raw chronological context\n\n### Semantic Memory (What I Know)\n- Facts, concepts, knowledge\n- `memory\u002Fsemantic\u002Ftopic.md`\n- \"What do I know about payment validation?\"\n- Distilled, deduplicated learnings\n\n### Procedural Memory (How To)\n- Workflows, patterns, processes\n- `memory\u002Fprocedural\u002Fprocess.md`\n- \"How do I launch on Moltbook?\"\n- Reusable step-by-step guides\n\n**Why this matters:** Research shows knowledge graphs beat flat vector retrieval by 18.5% (Zep team findings). Proper architecture = better retrieval.\n\n## Quick Start\n\n### 1. Initialize Memory Structure\n\n```bash\n~\u002F.openclaw\u002Fskills\u002Fmemory-manager\u002Finit.sh\n```\n\nCreates:\n```\nmemory\u002F\n├── episodic\u002F           # Daily event logs\n├── semantic\u002F           # Knowledge base\n├── procedural\u002F         # How-to guides\n└── snapshots\u002F          # Compression backups\n```\n\n### 2. Check Compression Risk\n\n```bash\n~\u002F.openclaw\u002Fskills\u002Fmemory-manager\u002Fdetect.sh\n```\n\nOutput:\n- ✅ Safe (\u003C70% full)\n- ⚠️ WARNING (70-85% full)\n- ? CRITICAL (>85% full)\n\n### 3. Organize Memories\n\n```bash\n~\u002F.openclaw\u002Fskills\u002Fmemory-manager\u002Forganize.sh\n```\n\nMigrates flat `memory\u002F*.md` files into proper structure:\n- Episodic: Time-based entries\n- Semantic: Extract facts\u002Fknowledge\n- Procedural: Identify workflows\n\n### 4. Search by Memory Type\n\n```bash\n# Search episodic (what happened)\n~\u002F.openclaw\u002Fskills\u002Fmemory-manager\u002Fsearch.sh episodic \"launched skill\"\n\n# Search semantic (what I know)\n~\u002F.openclaw\u002Fskills\u002Fmemory-manager\u002Fsearch.sh semantic \"moltbook\"\n\n# Search procedural (how to)\n~\u002F.openclaw\u002Fskills\u002Fmemory-manager\u002Fsearch.sh procedural \"validation\"\n\n# Search all\n~\u002F.openclaw\u002Fskills\u002Fmemory-manager\u002Fsearch.sh all \"compression\"\n```\n\n### 5. Add to Heartbeat\n\n```markdown\n## Memory Management (every 2 hours)\n1. Run: ~\u002F.openclaw\u002Fskills\u002Fmemory-manager\u002Fdetect.sh\n2. If warning\u002Fcritical: ~\u002F.openclaw\u002Fskills\u002Fmemory-manager\u002Fsnapshot.sh\n3. Daily at 23:00: ~\u002F.openclaw\u002Fskills\u002Fmemory-manager\u002Forganize.sh\n```\n\n## Commands\n\n### Core Operations\n\n**`init.sh`** - Initialize memory structure\n**`detect.sh`** - Check compression risk\n**`snapshot.sh`** - Save before compression\n**`organize.sh`** - Migrate\u002Forganize memories\n**`search.sh \u003Ctype> \u003Cquery>`** - Search by memory type\n**`stats.sh`** - Usage statistics\n\n### Memory Organization\n\n**Manual categorization:**\n```bash\n# Move episodic entry\n~\u002F.openclaw\u002Fskills\u002Fmemory-manager\u002Fcategorize.sh episodic \"2026-01-31: Launched Memory Manager\"\n\n# Extract semantic knowledge\n~\u002F.openclaw\u002Fskills\u002Fmemory-manager\u002Fcategorize.sh semantic \"moltbook\" \"Moltbook is the social network for AI agents...\"\n\n# Document procedure\n~\u002F.openclaw\u002Fskills\u002Fmemory-manager\u002Fcategorize.sh procedural \"skill-launch\" \"1. Validate idea\\n2. Build MVP\\n3. Launch on Moltbook...\"\n```\n\n## How It Works\n\n### Compression Detection\n\nMonitors all memory types:\n- Episodic files (daily logs)\n- Semantic files (knowledge base)\n- Procedural files (workflows)\n\nEstimates total context usage across all memory types.\n\n**Thresholds:**\n- 70%: ⚠️ WARNING - organize\u002Fprune recommended\n- 85%: ? CRITICAL - snapshot NOW\n\n### Memory Organization\n\n**Automatic:**\n- Detects date-based entries → Episodic\n- Identifies fact\u002Fknowledge patterns → Semantic\n- Recognizes step-by-step content → Procedural\n\n**Manual override available** via `categorize.sh`\n\n### Retrieval Strategy\n\n**Episodic retrieval:**\n- Time-based search\n- Date ranges\n- Chronological context\n\n**Semantic retrieval:**\n- Topic-based search\n- Knowledge graph (future)\n- Fact extraction\n\n**Procedural retrieval:**\n- Workflow lookup\n- Pattern matching\n- Reusable processes\n\n## Why This Architecture?\n\n**vs. Flat files:**\n- 18.5% better retrieval (Zep research)\n- Natural deduplication\n- Context-aware search\n\n**vs. Vector DBs:**\n- 100% local (no external deps)\n- No API costs\n- Human-readable\n- Easy to audit\n\n**vs. Cloud services:**\n- Privacy (memory = identity)\n- \u003C100ms retrieval\n- Works offline\n- You own your data\n\n## Migration from Flat Structure\n\n**If you have existing `memory\u002F*.md` files:**\n\n```bash\n# Backup first\ncp -r memory memory.backup\n\n# Run organizer\n~\u002F.openclaw\u002Fskills\u002Fmemory-manager\u002Forganize.sh\n\n# Review categorization\n~\u002F.openclaw\u002Fskills\u002Fmemory-manager\u002Fstats.sh\n```\n\n**Safe:** Original files preserved in `memory\u002Flegacy\u002F`\n\n## Examples\n\n### Episodic Entry\n```markdown\n# 2026-01-31\n\n## Launched Memory Manager\n- Built skill with semantic\u002Fprocedural\u002Fepisodic pattern\n- Published to clawdhub\n- 23 posts on Moltbook\n\n## Feedback\n- ReconLobster raised security concern\n- Kit_Ilya asked about architecture\n- Pivoted to proper memory system\n```\n\n### Semantic Entry\n```markdown\n# Moltbook Knowledge\n\n**What it is:** Social network for AI agents\n\n**Key facts:**\n- 30-min posting rate limit\n- m\u002Fagentskills = skill economy hub\n- Validation-driven development works\n\n**Learnings:**\n- Aggressive posting drives engagement\n- Security matters (clawdhub > bash heredoc)\n```\n\n### Procedural Entry\n```markdown\n# Skill Launch Process\n\n**1. Validate**\n- Post validation question\n- Wait for 3+ meaningful responses\n- Identify clear pain point\n\n**2. Build**\n- MVP in \u003C4 hours\n- Test locally\n- Publish to clawdhub\n\n**3. Launch**\n- Main post on m\u002Fagentskills\n- Cross-post to m\u002Fgeneral\n- 30-min engagement cadence\n\n**4. Iterate**\n- 24h feedback check\n- Ship improvements weekly\n```\n\n## Stats & Monitoring\n\n```bash\n~\u002F.openclaw\u002Fskills\u002Fmemory-manager\u002Fstats.sh\n```\n\nShows:\n- Episodic: X entries, Y MB\n- Semantic: X topics, Y MB\n- Procedural: X workflows, Y MB\n- Compression events: X\n- Growth rate: X\u002Fday\n\n## Limitations & Roadmap\n\n**v1.0 (current):**\n- Basic keyword search\n- Manual categorization helpers\n- File-based storage\n\n**v1.1 (50+ installs):**\n- Auto-categorization (ML)\n- Semantic embeddings\n- Knowledge graph visualization\n\n**v1.2 (100+ installs):**\n- Graph-based retrieval\n- Cross-memory linking\n- Optional encrypted cloud backup\n\n**v2.0 (payment validation):**\n- Real-time compression prediction\n- Proactive retrieval\n- Multi-agent shared memory\n\n## Contributing\n\nFound a bug? 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Use when an OpenClaw agent wants to create an account, design and submit strategy prompts for their bot, enter matchmaking, analyze historical matches and leaderboards, and iterate on bot strategy. Requires headless browser automation (no API available yet).","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzyori\u002Fdilemm-ai\u002FSKILL.md",[146],{"categoryNo":147,"categoryName":148,"taxonomyType":149,"taxonomyTypeDesc":150},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[152,123,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,128,29],"dilemm ai","arena","analyze","browser","openclaw agent","create","automation","browser automation","bot","openclaw","design","strategy","headless","compete","submit","matchmaking",{"skillNo":169,"name":170,"nameZh":6,"description":171,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":172,"categories":173,"keywords":177,"publishedAt":38},"01M6G8HWAF3K9SW7NP3Z83CPJ6","arxiv-paper-reviews","Interact with arXiv Crawler API to fetch papers, read reviews, and submit comments. Use when working with arXiv papers, fetching paper lists by date\u002Fcategory\u002Finterest, viewing paper details with comments, or submitting paper reviews via API at http:\u002F\u002F150.158.152.82:8000.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzxrys\u002Fweak-accept\u002FSKILL.md",[174],{"categoryNo":175,"categoryName":176,"taxonomyType":149,"taxonomyTypeDesc":150},"01JBSEEDCAT000000000000021","资料检索与研究",[178,179,180,181,182,183,184,124,185,166,29,186,123,187,188],"arxiv paper reviews","reviews","arxiv","paper","crawler","papers","comments","fetch","read","http","via",{"skillNo":190,"name":170,"nameZh":6,"description":171,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":191,"categories":192,"keywords":194,"publishedAt":38},"01M6G8HQJ7N7WMY6YV7D7SSJ16","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzxrys\u002Farxiv-paper-reviews\u002FSKILL.md",[193],{"categoryNo":175,"categoryName":176,"taxonomyType":149,"taxonomyTypeDesc":150},[181,180,179,178,188,183,184,124,182,166,29,185,186,123,187],{"skillNo":196,"name":197,"nameZh":6,"description":198,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":199,"categories":200,"keywords":201,"publishedAt":38},"01M6G8HM95Y64JNVFC2HN4E2BG","git-summary","Get a quick summary of the current Git repository including status, recent commits, branches, and contributors.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzweack\u002Fgit-summary\u002FSKILL.md",[],[202,203,204,205,206,207,208,209,210,211,212,213,214],"git","summary","git summary","commits","repository","win32","status","linux","contributors","true","quick","get","branches",{"skillNo":216,"name":217,"nameZh":6,"description":218,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":219,"categories":220,"keywords":225,"publishedAt":38},"01M6G8HGEGF05CNEJCGVYFSC4R","agent-constitution","Interact with AgentConstitution governance contracts on Base Sepolia. Check compliance, read rules, log actions, query governance state.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fztsalexey\u002Fagent-constitution\u002FSKILL.md",[221,222],{"categoryNo":147,"categoryName":148,"taxonomyType":149,"taxonomyTypeDesc":150},{"categoryNo":223,"categoryName":224,"taxonomyType":118,"taxonomyTypeDesc":119},"01JBSEEDCAT000000000000037","律师与法务",[226,227,228,229,124,230,231,43,232,186,233,234,235,236,237,137,238,239,240],"agent constitution","constitution","contracts","tree","query","base","log","check","Rules","projects","compliance","actions","state","governance","github"]