[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6MTPCAZX93YRNYFV11P89TC":3,"skill-same:01M6MTPCAZX93YRNYFV11P89TC":101},{"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":55,"commitSha":56,"skillDirectory":57,"forksCount":58,"repositoryHtmlUrl":59,"repositoryHomepageUrl":6,"ownerHtmlUrl":60,"ownerBlogUrl":6,"ownerDescription":61,"updatedAt":62,"install":63,"resources":76},"01M6MTPCAZX93YRNYFV11P89TC","memory-system-v2",null,"Fast semantic memory system with JSON indexing, auto-consolidation, and \u003C20ms search. Capture learnings, decisions, insights, events. Use when you need persistent memory across sessions or want to recall prior work\u002Fdecisions.","Kernel8901\u002Fai-agent-skills-classification","Kernel8901","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F72647553?v=4","01M6KV388J2H5PNC8D8P940BJD","01M6KV38CS5B3AY63RKZB410YM",7,"MIT","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002FGit和GitHub\u002Fmemory-system-v2\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37],"memory system v2","system","memory system","memory","across","semantic memory","persistent memory","you","insights","consolidation","events","indexing","learnings","auto","install","brew","work","homebrew","search","sessions","2026-11-10 10:12:30",false,"---\nname: memory-system-v2\ndescription: Fast semantic memory system with JSON indexing, auto-consolidation, and \u003C20ms search. Capture learnings, decisions, insights, events. Use when you need persistent memory across sessions or want to recall prior work\u002Fdecisions.\nhomepage: https:\u002F\u002Fgithub.com\u002Faustenallred\u002Fmemory-system-v2\nmetadata: {\"clawdbot\":{\"emoji\":\"?\",\"requires\":{\"bins\":[\"jq\"]},\"install\":[{\"id\":\"brew-jq\",\"kind\":\"brew\",\"formula\":\"jq\",\"bins\":[\"jq\"],\"label\":\"Install jq via Homebrew\"}]}}\n---\n\n# Memory System v2.0\n\n**Fast semantic memory for AI agents with JSON indexing and sub-20ms search.**\n\n## Overview\n\nMemory System v2.0 is a lightweight, file-based memory system designed for AI agents that need to:\n- Remember learnings, decisions, insights, events, and interactions across sessions\n- Search memories semantically in \u003C20ms\n- Auto-consolidate daily memories into weekly summaries\n- Track importance and context for better recall\n\nBuilt in pure bash + jq. No databases required.\n\n## Features\n\n- ⚡ **Fast Search:** \u003C20ms average search time (36 tests passed)\n- ? **Semantic Memory:** Capture 5 types of memories (learning, decision, insight, event, interaction)\n- ? **Importance Scoring:** 1-10 scale for memory prioritization\n- ?️ **Tagging System:** Organize memories with tags\n- ? **Context Tracking:** Remember what you were doing when memory was created\n- ? **Auto-Consolidation:** Weekly summaries generated automatically\n- ? **Smart Search:** Multi-word search with importance weighting\n- ? **Stats & Analytics:** Track memory counts, types, importance distribution\n\n## Quick Start\n\n### Installation\n\n```bash\n# Install jq (required dependency)\nbrew install jq\n\n# Copy memory-cli.sh to your workspace\n# Already installed if you're using Clawdbot\n```\n\n### Basic Usage\n\n**Capture a memory:**\n```bash\n.\u002Fmemory\u002Fmemory-cli.sh capture \\\n  --type learning \\\n  --importance 9 \\\n  --content \"Learned how to build iOS apps with SwiftUI\" \\\n  --tags \"swift,ios,mobile\" \\\n  --context \"Building Life Game app\"\n```\n\n**Search memories:**\n```bash\n.\u002Fmemory\u002Fmemory-cli.sh search \"swiftui ios\"\n.\u002Fmemory\u002Fmemory-cli.sh search \"build app\" --min-importance 7\n```\n\n**Recent memories:**\n```bash\n.\u002Fmemory\u002Fmemory-cli.sh recent learning 7 10\n.\u002Fmemory\u002Fmemory-cli.sh recent all 1 5\n```\n\n**View stats:**\n```bash\n.\u002Fmemory\u002Fmemory-cli.sh stats\n```\n\n**Auto-consolidate:**\n```bash\n.\u002Fmemory\u002Fmemory-cli.sh consolidate\n```\n\n## Memory Types\n\n### 1. Learning (importance: 7-9)\nNew skills, tools, patterns, techniques you've acquired.\n\n**Example:**\n```bash\n.\u002Fmemory\u002Fmemory-cli.sh capture \\\n  --type learning \\\n  --importance 9 \\\n  --content \"Learned Tron Ares aesthetic: ultra-thin 1px red circuit traces on black\" \\\n  --tags \"design,tron,aesthetic\"\n```\n\n### 2. Decision (importance: 6-9)\nChoices made, strategies adopted, approaches taken.\n\n**Example:**\n```bash\n.\u002Fmemory\u002Fmemory-cli.sh capture \\\n  --type decision \\\n  --importance 8 \\\n  --content \"Switched from XP grinding to achievement-based leveling with milestones\" \\\n  --tags \"life-game,game-design,leveling\"\n```\n\n### 3. Insight (importance: 8-10)\nBreakthroughs, realizations, aha moments.\n\n**Example:**\n```bash\n.\u002Fmemory\u002Fmemory-cli.sh capture \\\n  --type insight \\\n  --importance 10 \\\n  --content \"Simple binary yes\u002Fno tracking beats complex detailed logging\" \\\n  --tags \"ux,simplicity,habit-tracking\"\n```\n\n### 4. Event (importance: 5-8)\nMilestones, completions, launches, significant occurrences.\n\n**Example:**\n```bash\n.\u002Fmemory\u002Fmemory-cli.sh capture \\\n  --type event \\\n  --importance 10 \\\n  --content \"Shipped Life Game iOS app with Tron Ares aesthetic in 2 hours\" \\\n  --tags \"shipped,life-game,milestone\"\n```\n\n### 5. Interaction (importance: 5-7)\nKey conversations, feedback, requests from users.\n\n**Example:**\n```bash\n.\u002Fmemory\u002Fmemory-cli.sh capture \\\n  --type interaction \\\n  --importance 7 \\\n  --content \"User requested simple yes\u002Fno habit tracking instead of complex quests\" \\\n  --tags \"feedback,user-request,simplification\"\n```\n\n## Architecture\n\n### File Structure\n\n```\nmemory\u002F\n├── memory-cli.sh              # Main CLI tool\n├── index\u002F\n│   └── memory-index.json      # Fast search index\n├── daily\u002F\n│   └── YYYY-MM-DD.md          # Daily memory logs\n└── consolidated\u002F\n    └── YYYY-WW.md             # Weekly consolidated summaries\n```\n\n### JSON Index Format\n\n```json\n{\n  \"version\": 1,\n  \"lastUpdate\": 1738368000000,\n  \"memories\": [\n    {\n      \"id\": \"mem_20260131_12345\",\n      \"type\": \"learning\",\n      \"importance\": 9,\n      \"timestamp\": 1738368000000,\n      \"date\": \"2026-01-31\",\n      \"content\": \"Memory content here\",\n      \"tags\": [\"tag1\", \"tag2\"],\n      \"context\": \"What I was doing\",\n      \"file\": \"memory\u002Fdaily\u002F2026-01-31.md\",\n      \"line\": 42\n    }\n  ]\n}\n```\n\n### Performance Benchmarks\n\n**All 36 tests passed:**\n- Search: \u003C20ms average (fastest: 8ms, slowest: 18ms)\n- Capture: \u003C50ms average\n- Stats: \u003C10ms\n- Recent: \u003C15ms\n- All operations: \u003C100ms target ✅\n\n## Commands Reference\n\n### capture\n```bash\n.\u002Fmemory-cli.sh capture \\\n  --type \u003Clearning|decision|insight|event|interaction> \\\n  --importance \u003C1-10> \\\n  --content \"Memory content\" \\\n  --tags \"tag1,tag2,tag3\" \\\n  --context \"What you were doing\"\n```\n\n### search\n```bash\n.\u002Fmemory-cli.sh search \"keywords\" [--min-importance N]\n```\n\n### recent\n```bash\n.\u002Fmemory-cli.sh recent \u003Ctype|all> \u003Cdays> \u003Cmin-importance>\n```\n\n### stats\n```bash\n.\u002Fmemory-cli.sh stats\n```\n\n### consolidate\n```bash\n.\u002Fmemory-cli.sh consolidate [--week YYYY-WW]\n```\n\n## Integration with Clawdbot\n\nMemory System v2.0 is designed to work seamlessly with Clawdbot:\n\n**Auto-capture in AGENTS.md:**\n```markdown\n## Memory Recall\nBefore answering anything about prior work, decisions, dates, people, preferences, or todos: run memory_search on MEMORY.md + memory\u002F*.md\n```\n\n**Example workflow:**\n1. Agent learns something new → `memory-cli.sh capture`\n2. User asks \"What did we build yesterday?\" → `memory-cli.sh search \"build yesterday\"`\n3. Agent recalls exact details with file + line references\n\n## Use Cases\n\n### 1. Learning Tracking\nCapture every new skill, tool, or technique you learn:\n```bash\n.\u002Fmemory-cli.sh capture \\\n  --type learning \\\n  --importance 8 \\\n  --content \"Learned how to publish ClawdHub packages with clawdhub publish\" \\\n  --tags \"clawdhub,publishing,packaging\"\n```\n\n### 2. Decision History\nRecord why you made specific choices:\n```bash\n.\u002Fmemory-cli.sh capture \\\n  --type decision \\\n  --importance 9 \\\n  --content \"Chose binary yes\u002Fno tracking over complex RPG quests for simplicity\" \\\n  --tags \"ux,simplicity,design-decision\"\n```\n\n### 3. Milestone Tracking\nLog major achievements:\n```bash\n.\u002Fmemory-cli.sh capture \\\n  --type event \\\n  --importance 10 \\\n  --content \"Completed Memory System v2.0: 36\u002F36 tests passed, \u003C20ms search\" \\\n  --tags \"milestone,memory-system,shipped\"\n```\n\n### 4. Weekly Reviews\nAuto-generate weekly summaries:\n```bash\n.\u002Fmemory-cli.sh consolidate --week 2026-05\n```\n\n## Advanced Usage\n\n### Search with Importance Filter\n```bash\n# Only high-importance learnings\n.\u002Fmemory-cli.sh search \"swiftui\" --min-importance 8\n\n# All memories mentioning \"API\"\n.\u002Fmemory-cli.sh search \"API\" --min-importance 1\n```\n\n### Recent High-Priority Decisions\n```bash\n# Decisions from last 7 days with importance ≥ 8\n.\u002Fmemory-cli.sh recent decision 7 8\n```\n\n### Bulk Analysis\n```bash\n# See memory distribution\n.\u002Fmemory-cli.sh stats\n\n# Output:\n# Total memories: 247\n# By type: learning=89, decision=67, insight=42, event=35, interaction=14\n# By importance: 10=45, 9=78, 8=63, 7=39, 6=15, 5=7\n```\n\n## Limitations\n\n- **Text-only search:** No semantic embeddings (yet)\n- **Single-user:** Not designed for multi-user scenarios\n- **File-based:** Scales to ~10K memories before slowdown\n- **Bash dependency:** Requires bash + jq (works on macOS\u002FLinux)\n\n## Future Enhancements\n\n- [ ] Semantic embeddings for better search\n- [ ] Auto-tagging with AI\n- [ ] Memory graphs (connections between memories)\n- [ ] Export to Notion\u002FObsidian\n- [ ] Multi-language support\n- [ ] Cloud sync (optional)\n\n## Testing\n\nFull test suite with 36 tests covering:\n- Capture operations (10 tests)\n- Search functionality (12 tests)\n- Recent queries (6 tests)\n- Stats generation (4 tests)\n- Consolidation (4 tests)\n\n**Run tests:**\n```bash\n.\u002Fmemory-cli.sh test  # If test suite is included\n```\n\n**All tests passed ✅** - See `memory-system-v2-test-results.md` for details.\n\n## Performance\n\n**Design goals:**\n- Search: \u003C20ms ✅\n- Capture: \u003C50ms ✅\n- Stats: \u003C10ms ✅\n- All operations: \u003C100ms ✅\n\n**Tested on:** M1 Mac, 247 memories in index\n\n## Why Memory System v2.0?\n\n**Problem:** AI agents forget everything between sessions. Context is lost.\n\n**Solution:** Fast, searchable memory that persists across sessions.\n\n**Benefits:**\n- Agent can recall prior work, decisions, learnings\n- User doesn't repeat themselves\n- Context builds over time\n- Agent gets smarter with use\n\n## Credits\n\nBuilt by Kelly Claude (AI Executive Assistant) as a self-improvement project.\n\n**Design philosophy:** Fast, simple, file-based. No complex dependencies.\n\n## License\n\nMIT License - Use freely, modify as needed.\n\n## Support\n\nIssues: https:\u002F\u002Fgithub.com\u002Faustenallred\u002Fmemory-system-v2\u002Fissues  \nDocs: This file + `memory-system-v2-design.md`\n\n---\n\n**Memory System v2.0 - Remember everything. Search in milliseconds.**\n","# Memory System v2.0\n\n**Fast semantic memory for AI agents with JSON indexing and sub-20ms search.**\n\n## Overview\n\nMemory System v2.0 is a lightweight, file-based memory system designed for AI agents that need to:\n- Remember learnings, decisions, insights, events, and interactions across sessions\n- Search memories semantically in \u003C20ms\n- Auto-consolidate daily memories into weekly summaries\n- Track importance and context for better recall\n\nBuilt in pure bash + jq. No databases required.\n\n## Features\n\n- ⚡ **Fast Search:** \u003C20ms average search time (36 tests passed)\n- ? **Semantic Memory:** Capture 5 types of memories (learning, decision, insight, event, interaction)\n- ? **Importance Scoring:** 1-10 scale for memory prioritization\n- ?️ **Tagging System:** Organize memories with tags\n- ? **Context Tracking:** Remember what you were doing when memory was created\n- ? **Auto-Consolidation:** Weekly summaries generated automatically\n- ? **Smart Search:** Multi-word search with importance weighting\n- ? **Stats & Analytics:** Track memory counts, types, importance distribution\n\n## Quick Start\n\n### Installation\n\n```bash\n# Install jq (required dependency)\nbrew install jq\n\n# Copy memory-cli.sh to your workspace\n# Already installed if you're using Clawdbot\n```\n\n### Basic Usage\n\n**Capture a memory:**\n```bash\n.\u002Fmemory\u002Fmemory-cli.sh capture \\\n  --type learning \\\n  --importance 9 \\\n  --content \"Learned how to build iOS apps with SwiftUI\" \\\n  --tags \"swift,ios,mobile\" \\\n  --context \"Building Life Game app\"\n```\n\n**Search memories:**\n```bash\n.\u002Fmemory\u002Fmemory-cli.sh search \"swiftui ios\"\n.\u002Fmemory\u002Fmemory-cli.sh search \"build app\" --min-importance 7\n```\n\n**Recent memories:**\n```bash\n.\u002Fmemory\u002Fmemory-cli.sh recent learning 7 10\n.\u002Fmemory\u002Fmemory-cli.sh recent all 1 5\n```\n\n**View stats:**\n```bash\n.\u002Fmemory\u002Fmemory-cli.sh stats\n```\n\n**Auto-consolidate:**\n```bash\n.\u002Fmemory\u002Fmemory-cli.sh consolidate\n```\n\n## Memory Types\n\n### 1. Learning (importance: 7-9)\nNew skills, tools, patterns, techniques you've acquired.\n\n**Example:**\n```bash\n.\u002Fmemory\u002Fmemory-cli.sh capture \\\n  --type learning \\\n  --importance 9 \\\n  --content \"Learned Tron Ares aesthetic: ultra-thin 1px red circuit traces on black\" \\\n  --tags \"design,tron,aesthetic\"\n```\n\n### 2. Decision (importance: 6-9)\nChoices made, strategies adopted, approaches taken.\n\n**Example:**\n```bash\n.\u002Fmemory\u002Fmemory-cli.sh capture \\\n  --type decision \\\n  --importance 8 \\\n  --content \"Switched from XP grinding to achievement-based leveling with milestones\" \\\n  --tags \"life-game,game-design,leveling\"\n```\n\n### 3. Insight (importance: 8-10)\nBreakthroughs, realizations, aha moments.\n\n**Example:**\n```bash\n.\u002Fmemory\u002Fmemory-cli.sh capture \\\n  --type insight \\\n  --importance 10 \\\n  --content \"Simple binary yes\u002Fno tracking beats complex detailed logging\" \\\n  --tags \"ux,simplicity,habit-tracking\"\n```\n\n### 4. Event (importance: 5-8)\nMilestones, completions, launches, significant occurrences.\n\n**Example:**\n```bash\n.\u002Fmemory\u002Fmemory-cli.sh capture \\\n  --type event \\\n  --importance 10 \\\n  --content \"Shipped Life Game iOS app with Tron Ares aesthetic in 2 hours\" \\\n  --tags \"shipped,life-game,milestone\"\n```\n\n### 5. Interaction (importance: 5-7)\nKey conversations, feedback, requests from users.\n\n**Example:**\n```bash\n.\u002Fmemory\u002Fmemory-cli.sh capture \\\n  --type interaction \\\n  --importance 7 \\\n  --content \"User requested simple yes\u002Fno habit tracking instead of complex quests\" \\\n  --tags \"feedback,user-request,simplification\"\n```\n\n## Architecture\n\n### File Structure\n\n```\nmemory\u002F\n├── memory-cli.sh              # Main CLI tool\n├── index\u002F\n│   └── memory-index.json      # Fast search index\n├── daily\u002F\n│   └── YYYY-MM-DD.md          # Daily memory logs\n└── consolidated\u002F\n    └── YYYY-WW.md             # Weekly consolidated summaries\n```\n\n### JSON Index Format\n\n```json\n{\n  \"version\": 1,\n  \"lastUpdate\": 1738368000000,\n  \"memories\": [\n    {\n      \"id\": \"mem_20260131_12345\",\n      \"type\": \"learning\",\n      \"importance\": 9,\n      \"timestamp\": 1738368000000,\n      \"date\": \"2026-01-31\",\n      \"content\": \"Memory content here\",\n      \"tags\": [\"tag1\", \"tag2\"],\n      \"context\": \"What I was doing\",\n      \"file\": \"memory\u002Fdaily\u002F2026-01-31.md\",\n      \"line\": 42\n    }\n  ]\n}\n```\n\n### Performance Benchmarks\n\n**All 36 tests passed:**\n- Search: \u003C20ms average (fastest: 8ms, slowest: 18ms)\n- Capture: \u003C50ms average\n- Stats: \u003C10ms\n- Recent: \u003C15ms\n- All operations: \u003C100ms target ✅\n\n## Commands Reference\n\n### capture\n```bash\n.\u002Fmemory-cli.sh capture \\\n  --type \u003Clearning|decision|insight|event|interaction> \\\n  --importance \u003C1-10> \\\n  --content \"Memory content\" \\\n  --tags \"tag1,tag2,tag3\" \\\n  --context \"What you were doing\"\n```\n\n### search\n```bash\n.\u002Fmemory-cli.sh search \"keywords\" [--min-importance N]\n```\n\n### recent\n```bash\n.\u002Fmemory-cli.sh recent \u003Ctype|all> \u003Cdays> \u003Cmin-importance>\n```\n\n### stats\n```bash\n.\u002Fmemory-cli.sh stats\n```\n\n### consolidate\n```bash\n.\u002Fmemory-cli.sh consolidate [--week YYYY-WW]\n```\n\n## Integration with Clawdbot\n\nMemory System v2.0 is designed to work seamlessly with Clawdbot:\n\n**Auto-capture in AGENTS.md:**\n```markdown\n## Memory Recall\nBefore answering anything about prior work, decisions, dates, people, preferences, or todos: run memory_search on MEMORY.md + memory\u002F*.md\n```\n\n**Example workflow:**\n1. Agent learns something new → `memory-cli.sh capture`\n2. User asks \"What did we build yesterday?\" → `memory-cli.sh search \"build yesterday\"`\n3. Agent recalls exact details with file + line references\n\n## Use Cases\n\n### 1. Learning Tracking\nCapture every new skill, tool, or technique you learn:\n```bash\n.\u002Fmemory-cli.sh capture \\\n  --type learning \\\n  --importance 8 \\\n  --content \"Learned how to publish ClawdHub packages with clawdhub publish\" \\\n  --tags \"clawdhub,publishing,packaging\"\n```\n\n### 2. Decision History\nRecord why you made specific choices:\n```bash\n.\u002Fmemory-cli.sh capture \\\n  --type decision \\\n  --importance 9 \\\n  --content \"Chose binary yes\u002Fno tracking over complex RPG quests for simplicity\" \\\n  --tags \"ux,simplicity,design-decision\"\n```\n\n### 3. Milestone Tracking\nLog major achievements:\n```bash\n.\u002Fmemory-cli.sh capture \\\n  --type event \\\n  --importance 10 \\\n  --content \"Completed Memory System v2.0: 36\u002F36 tests passed, \u003C20ms search\" \\\n  --tags \"milestone,memory-system,shipped\"\n```\n\n### 4. Weekly Reviews\nAuto-generate weekly summaries:\n```bash\n.\u002Fmemory-cli.sh consolidate --week 2026-05\n```\n\n## Advanced Usage\n\n### Search with Importance Filter\n```bash\n# Only high-importance learnings\n.\u002Fmemory-cli.sh search \"swiftui\" --min-importance 8\n\n# All memories mentioning \"API\"\n.\u002Fmemory-cli.sh search \"API\" --min-importance 1\n```\n\n### Recent High-Priority Decisions\n```bash\n# Decisions from last 7 days with importance ≥ 8\n.\u002Fmemory-cli.sh recent decision 7 8\n```\n\n### Bulk Analysis\n```bash\n# See memory distribution\n.\u002Fmemory-cli.sh stats\n\n# Output:\n# Total memories: 247\n# By type: learning=89, decision=67, insight=42, event=35, interaction=14\n# By importance: 10=45, 9=78, 8=63, 7=39, 6=15, 5=7\n```\n\n## Limitations\n\n- **Text-only search:** No semantic embeddings (yet)\n- **Single-user:** Not designed for multi-user scenarios\n- **File-based:** Scales to ~10K memories before slowdown\n- **Bash dependency:** Requires bash + jq (works on macOS\u002FLinux)\n\n## Future Enhancements\n\n- [ ] Semantic embeddings for better search\n- [ ] Auto-tagging with AI\n- [ ] Memory graphs (connections between memories)\n- [ ] Export to Notion\u002FObsidian\n- [ ] Multi-language support\n- [ ] Cloud sync (optional)\n\n## Testing\n\nFull test suite with 36 tests covering:\n- Capture operations (10 tests)\n- Search functionality (12 tests)\n- Recent queries (6 tests)\n- Stats generation (4 tests)\n- Consolidation (4 tests)\n\n**Run tests:**\n```bash\n.\u002Fmemory-cli.sh test  # If test suite is included\n```\n\n**All tests passed ✅** - See `memory-system-v2-test-results.md` for details.\n\n## Performance\n\n**Design goals:**\n- Search: \u003C20ms ✅\n- Capture: \u003C50ms ✅\n- Stats: \u003C10ms ✅\n- All operations: \u003C100ms ✅\n\n**Tested on:** M1 Mac, 247 memories in index\n\n## Why Memory System v2.0?\n\n**Problem:** AI agents forget everything between sessions. Context is lost.\n\n**Solution:** Fast, searchable memory that persists across sessions.\n\n**Benefits:**\n- Agent can recall prior work, decisions, learnings\n- User doesn't repeat themselves\n- Context builds over time\n- Agent gets smarter with use\n\n## Credits\n\nBuilt by Kelly Claude (AI Executive Assistant) as a self-improvement project.\n\n**Design philosophy:** Fast, simple, file-based. No complex dependencies.\n\n## License\n\nMIT License - Use freely, modify as needed.\n\n## Support\n\nIssues: https:\u002F\u002Fgithub.com\u002Faustenallred\u002Fmemory-system-v2\u002Fissues  \nDocs: This file + `memory-system-v2-design.md`\n\n---\n\n**Memory System v2.0 - Remember everything. Search in milliseconds.**\n",{"name":5,"homepage":43,"metadata":44,"description":7},"https:\u002F\u002Fgithub.com\u002Faustenallred\u002Fmemory-system-v2",{"clawdbot":45},{"emoji":46,"install":47,"requires":53},"?",[48],{"id":49,"bins":50,"kind":33,"label":52,"formula":51},"brew-jq",[51],"jq","Install jq via Homebrew",{"bins":54},[51],"main","f4cb2d49f7667e79ef7804f50396d5aaffdf1f56","Git和GitHub\u002Fmemory-system-v2",1,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification","https:\u002F\u002Fgithub.com\u002FKernel8901","a little little little dobe in life but science geek","2026-04-05 16:43:56",{"source":8,"skillName":5,"commands":64,"prompt":74,"zipAvailable":75},[65,68,71],{"tool":66,"command":67},"npx","npx skills add Kernel8901\u002Fai-agent-skills-classification --skill memory-system-v2",{"tool":69,"command":70},"bunx","bunx skills add Kernel8901\u002Fai-agent-skills-classification --skill memory-system-v2",{"tool":72,"command":73},"pnpm","pnpm dlx skills add Kernel8901\u002Fai-agent-skills-classification --skill memory-system-v2","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002FGit和GitHub\u002Fmemory-system-v2\u002FSKILL.md",true,[77,83,87,91,97],{"path":78,"resourceType":79,"resourceTypeDesc":80,"sizeBytes":81,"sourceHtmlUrl":82},"_meta.json","REFERENCE","参考文档",291,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002FGit和GitHub\u002Fmemory-system-v2\u002F_meta.json",{"path":84,"resourceType":79,"resourceTypeDesc":80,"sizeBytes":85,"sourceHtmlUrl":86},"docs\u002Fmemory-system-v2-design.md",4439,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002FGit和GitHub\u002Fmemory-system-v2\u002Fdocs\u002Fmemory-system-v2-design.md",{"path":88,"resourceType":79,"resourceTypeDesc":80,"sizeBytes":89,"sourceHtmlUrl":90},"docs\u002Fmemory-system-v2-test-results.md",8173,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002FGit和GitHub\u002Fmemory-system-v2\u002Fdocs\u002Fmemory-system-v2-test-results.md",{"path":92,"resourceType":93,"resourceTypeDesc":94,"sizeBytes":95,"sourceHtmlUrl":96},"memory-cli.sh","SCRIPT","脚本",6754,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002FGit和GitHub\u002Fmemory-system-v2\u002Fmemory-cli.sh",{"path":98,"resourceType":79,"resourceTypeDesc":80,"sizeBytes":99,"sourceHtmlUrl":100},"README.md",908,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002FGit和GitHub\u002Fmemory-system-v2\u002FREADME.md",[102,126,161,172,182,211],{"skillNo":103,"name":104,"nameZh":6,"description":105,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":106,"categories":107,"keywords":108,"publishedAt":38},"01M6Q5R6WZ06RRB9RQTW54B34B","zyfai","Earn yield on any Ethereum wallet on Base, Arbitrum, and Plasma. Use when a user wants passive DeFi yield on their funds. Deploys a non-custodial subaccount (Safe) linked to their EOA, enables automated yield optimization, and lets them deposit\u002Fwithdraw anytime.","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzyfai-sdk\u002FSKILL.md",[],[104,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125],"safe","ethereum","defi","Optimization","user","use","Wallet","base","deposit","withdraw","yield","arbitrum","non-custodial","passive","defi yield","earn","yield optimization",{"skillNo":127,"name":128,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":129,"categories":130,"keywords":144,"publishedAt":38},"01M6Q5R337B5JSNER4P4YS03TN","zerion-api","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzerion-api\u002FSKILL.md",[131,136,139],{"categoryNo":132,"categoryName":133,"taxonomyType":134,"taxonomyTypeDesc":135},"01JBSEEDCAT000000000000010","后端与接口","SCENARIO","使用场景",{"categoryNo":137,"categoryName":138,"taxonomyType":134,"taxonomyTypeDesc":135},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":140,"categoryName":141,"taxonomyType":142,"taxonomyTypeDesc":143},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[145,146,147,148,149,150,151,111,152,115,153,154,155,156,157,22,158,159,160],"api","zerion api","zerion","MCP","mcp server","server","blockchain","transactions","crypto wallet","crypto","evm","solana","query","positions","token","prices",{"skillNo":162,"name":163,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":164,"categories":165,"keywords":169,"publishedAt":38},"01M6Q5QZFYTDAZMZ27BN5VZXAR","zerion-api-skill","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzerion-api-skill\u002FSKILL.md",[166,167,168],{"categoryNo":132,"categoryName":133,"taxonomyType":134,"taxonomyTypeDesc":135},{"categoryNo":137,"categoryName":138,"taxonomyType":134,"taxonomyTypeDesc":135},{"categoryNo":140,"categoryName":141,"taxonomyType":142,"taxonomyTypeDesc":143},[145,170,171,146,147,148,149,150,151,111,152,115,154,155,156,157,22,158,159,160],"api skill","zerion api skill",{"skillNo":173,"name":174,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":175,"categories":176,"keywords":180,"publishedAt":38},"01M6Q5QW17QW98RA3FE45E4RD8","zerion-api-mcp","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzerion-api-mcp\u002FSKILL.md",[177,178,179],{"categoryNo":132,"categoryName":133,"taxonomyType":134,"taxonomyTypeDesc":135},{"categoryNo":137,"categoryName":138,"taxonomyType":134,"taxonomyTypeDesc":135},{"categoryNo":140,"categoryName":141,"taxonomyType":142,"taxonomyTypeDesc":143},[148,145,181,146,147,149,150,111,152,115,153,154,155,156,157,22,158,159,160],"zerion api mcp",{"skillNo":183,"name":184,"nameZh":6,"description":185,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":186,"categories":187,"keywords":191,"publishedAt":38},"01M6Q5QQYZB7A501BDEQWKGSJT","yahoo-finance-forex","Fetches real-time FOREX news and market data from Yahoo Finance for major currency pairs (EUR\u002FUSD, GBP\u002FUSD, USD\u002FJPY, etc.). Analyzes sentiment and provides trading context.","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fyahoo-finance-forex\u002FSKILL.md",[188],{"categoryNo":189,"categoryName":190,"taxonomyType":142,"taxonomyTypeDesc":143},"01JBSEEDCAT000000000000040","财务",[192,193,194,195,196,197,198,199,200,201,32,202,203,204,205,206,207,208,209,210],"finance","yahoo finance","forex","yahoo","yahoo finance forex","github","https","sentiment","real-time","python3","Market","usd","news","time","currency","gbp","pip","market data","for",{"skillNo":212,"name":213,"nameZh":6,"description":214,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":215,"categories":216,"keywords":218,"publishedAt":38},"01M6Q5QM6VS84WZVM7BKXXPF32","yahoo-finance","This skill should be used when the user asks to \"get stock prices\", \"check stock quotes\", \"look up earnings\", \"get financial data\", \"find trending stocks\", or needs stock market data from Yahoo Finance.","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fyahoo-finance-cli\u002FSKILL.md",[217],{"categoryNo":189,"categoryName":190,"taxonomyType":142,"taxonomyTypeDesc":143},[192,193,195,219,35,220,221,33,222,202,223,224,225,226,227,228,229,230,160,209],"cli","find","check","up","local","get","stock","link","trending","sf","quotes","ln"]