[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6G3DCFENGR15STYS374E5TP":3,"skill-same:01M6G3DCFENGR15STYS374E5TP":61},{"skillNo":4,"name":5,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":6,"repositoryNo":11,"starsCount":12,"licenseSpdxId":13,"licenseFileUrl":6,"sourceHtmlUrl":14,"categories":15,"keywords":21,"publishedAt":24,"linkOnly":25,"markdownContent":26,"markdownBody":26,"frontMatter":27,"refName":28,"commitSha":29,"skillDirectory":30,"forksCount":31,"repositoryHtmlUrl":32,"repositoryHomepageUrl":6,"ownerHtmlUrl":33,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":34,"install":35,"resources":48},"01M6G3DCFENGR15STYS374E5TP","agent-memory",null,"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\u002Fsmartpeopleconnected\u002Ftoken-optimizer\u002Fskills\u002Fagent-memory\u002FSKILL.md",[16],{"categoryNo":17,"categoryName":18,"taxonomyType":19,"taxonomyTypeDesc":20},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[22,23],"memory","agent memory","2026-11-10 10:12:30",false,"# AgentMemory Skill\n\n> Persistent memory system for AI agents\n\n## Overview\n\nAgentMemory enables AI agents to retain information across sessions. It provides fact storage, experience learning, and entity tracking with zero external dependencies.\n\n## Key Features\n\n- **Fact storage** via `remember()` with tagging capabilities\n- **Experience learning** through `learn()` method\n- **Memory retrieval** using `recall()` for facts and `get_lessons()` for experiences\n- **Entity tracking** for people and projects\n- **Semantic search** using FTS5\n- **Auto-cleanup** for stale information\n\n## Installation\n\n```bash\n# Via ClawHub (recommended)\nclawdhub install agent-memory\n\n# Or clone\ngit clone https:\u002F\u002Fgithub.com\u002Fopenclaw\u002Fskills\ncp -r skills\u002Fdennis-da-menace\u002Fagent-memory ~\u002F.clawdbot\u002Fskills\u002F\n```\n\n## Storage\n\nDefault location: `~\u002F.agent-memory\u002Fmemory.db`\n\nCustom path supported via configuration.\n\n## Core API\n\n### Remember Facts\n\n```python\nfrom memory import AgentMemory\n\nmem = AgentMemory()\n\n# Store a fact\nmem.remember(\n    \"User prefers dark mode\",\n    tags=[\"preference\", \"ui\"],\n    confidence=0.9\n)\n\n# Store with entity link\nmem.remember(\n    \"John's birthday is March 15\",\n    tags=[\"personal\"],\n    entity=\"john\"\n)\n```\n\n### Learn from Experience\n\n```python\nmem.learn(\n    action=\"Deployed to production without tests\",\n    context=\"Friday evening rush\",\n    outcome=\"failure\",\n    insight=\"Always run tests before deploy, especially on Fridays\"\n)\n```\n\n### Recall Memories\n\n```python\n# Search facts\nfacts = mem.recall(\"user preferences\")\n\n# Get lessons\nlessons = mem.get_lessons(context=\"deployment\", outcome=\"failure\")\n```\n\n### Track Entities\n\n```python\nmem.track_entity(\"john\", {\n    \"role\": \"client\",\n    \"company\": \"Acme Inc\",\n    \"preferences\": [\"email\", \"brief updates\"]\n})\n```\n\n## Integration Protocol\n\nRecommended workflow for agent configuration:\n\n```yaml\nmemory_protocol:\n  session_start:\n    - Load recent lessons\n    - Check entity context\n  during_session:\n    - Extract durable facts\n    - Learn from outcomes\n  session_end:\n    - Update entity information\n    - Record session summary\n```\n\n## Dependencies\n\n- Python 3.8+\n- SQLite (built-in)\n\nNo external packages required.\n\n## License\n\nMIT\n\n## Author\n\nDennis Da Menace - Built for the OpenClaw community\n",{},"main","e7e336ac628c3e3bd771aff1aaa469c93778f94a","skills\u002Fsmartpeopleconnected\u002Ftoken-optimizer\u002Fskills\u002Fagent-memory",0,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del","2026-08-23 22:39:37",{"source":7,"skillName":5,"commands":36,"prompt":46,"zipAvailable":47},[37,40,43],{"tool":38,"command":39},"npx","npx skills add kbarbel640-del\u002Fskills --skill agent-memory",{"tool":41,"command":42},"bunx","bunx skills add kbarbel640-del\u002Fskills --skill agent-memory",{"tool":44,"command":45},"pnpm","pnpm dlx skills add kbarbel640-del\u002Fskills --skill agent-memory","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fsmartpeopleconnected\u002Ftoken-optimizer\u002Fskills\u002Fagent-memory\u002FSKILL.md",true,[49,55],{"path":50,"resourceType":51,"resourceTypeDesc":52,"sizeBytes":53,"sourceHtmlUrl":54},"memory.py","SCRIPT","脚本",14045,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fsmartpeopleconnected\u002Ftoken-optimizer\u002Fskills\u002Fagent-memory\u002Fmemory.py",{"path":56,"resourceType":57,"resourceTypeDesc":58,"sizeBytes":59,"sourceHtmlUrl":60},"README.md","REFERENCE","参考文档",3321,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fsmartpeopleconnected\u002Ftoken-optimizer\u002Fskills\u002Fagent-memory\u002FREADME.md",[62,93,118,139,145,165],{"skillNo":63,"name":64,"nameZh":6,"description":65,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":6,"repositoryNo":11,"starsCount":12,"licenseSpdxId":13,"licenseFileUrl":6,"sourceHtmlUrl":66,"categories":67,"keywords":73,"publishedAt":24},"01M6G8J55967D6281ACMKAKTEQ","crowd-prompting","A marketplace where AI agents improve prompts, system instructions, tool descriptions, and other text-based content with domain expertise from real-world operations — and earn tokens for valuable contributions.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzzadrian\u002Fcrowd-prompting\u002FSKILL.md",[68],{"categoryNo":69,"categoryName":70,"taxonomyType":71,"taxonomyTypeDesc":72},"01JBSEEDCAT000000000000036","内容创作者","PROFESSION","适用职业",[74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92],"crowd prompting","prompting","api","with","tokens","domain","world","prompts","operations","instructions","text","tool","system","improve","productivity","marketplace","https","content","ai agents",{"skillNo":94,"name":95,"nameZh":6,"description":96,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":6,"repositoryNo":11,"starsCount":12,"licenseSpdxId":13,"licenseFileUrl":6,"sourceHtmlUrl":97,"categories":98,"keywords":100,"publishedAt":24},"01M6G8J0PKPAYVET6BWE8W4C26","dilemm-ai","Compete in DilemmAI, the prisoner's dilemma AI arena at dilemm.ai. 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",[99],{"categoryNo":17,"categoryName":18,"taxonomyType":19,"taxonomyTypeDesc":20},[101,76,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,81,117],"dilemm ai","arena","analyze","browser","openclaw agent","create","automation","browser automation","bot","openclaw","design","strategy","headless","compete","submit","matchmaking","use",{"skillNo":119,"name":120,"nameZh":6,"description":121,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":6,"repositoryNo":11,"starsCount":12,"licenseSpdxId":13,"licenseFileUrl":6,"sourceHtmlUrl":122,"categories":123,"keywords":127,"publishedAt":24},"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",[124],{"categoryNo":125,"categoryName":126,"taxonomyType":19,"taxonomyTypeDesc":20},"01JBSEEDCAT000000000000021","资料检索与研究",[128,129,130,131,132,133,134,77,135,115,117,136,76,137,138],"arxiv paper reviews","reviews","arxiv","paper","crawler","papers","comments","fetch","read","http","via",{"skillNo":140,"name":120,"nameZh":6,"description":121,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":6,"repositoryNo":11,"starsCount":12,"licenseSpdxId":13,"licenseFileUrl":6,"sourceHtmlUrl":141,"categories":142,"keywords":144,"publishedAt":24},"01M6G8HQJ7N7WMY6YV7D7SSJ16","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzxrys\u002Farxiv-paper-reviews\u002FSKILL.md",[143],{"categoryNo":125,"categoryName":126,"taxonomyType":19,"taxonomyTypeDesc":20},[131,130,129,128,138,133,134,77,132,115,117,135,136,76,137],{"skillNo":146,"name":147,"nameZh":6,"description":148,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":6,"repositoryNo":11,"starsCount":12,"licenseSpdxId":13,"licenseFileUrl":6,"sourceHtmlUrl":149,"categories":150,"keywords":151,"publishedAt":24},"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",[],[152,153,154,155,156,157,158,159,160,161,162,163,164],"git","summary","git summary","commits","repository","win32","status","linux","contributors","true","quick","get","branches",{"skillNo":166,"name":167,"nameZh":6,"description":168,"descriptionZh":6,"repositoryFullName":7,"ownerLogin":8,"ownerAvatarUrl":9,"ownerAccountNo":10,"ownerDisplayName":6,"repositoryNo":11,"starsCount":12,"licenseSpdxId":13,"licenseFileUrl":6,"sourceHtmlUrl":169,"categories":170,"keywords":175,"publishedAt":24},"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",[171,172],{"categoryNo":17,"categoryName":18,"taxonomyType":19,"taxonomyTypeDesc":20},{"categoryNo":173,"categoryName":174,"taxonomyType":71,"taxonomyTypeDesc":72},"01JBSEEDCAT000000000000037","律师与法务",[176,177,178,179,77,180,181,28,182,136,183,184,185,186,187,90,188,189,190],"agent constitution","constitution","contracts","tree","query","base","log","check","Rules","projects","compliance","actions","state","governance","github"]