[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-75874":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":16,"stars7d":16,"stars30d":17,"stars90d":16,"forks30d":16,"starsTrendScore":16,"compositeScore":18,"rankGlobal":10,"rankLanguage":10,"license":10,"archived":19,"fork":19,"defaultBranch":20,"hasWiki":19,"hasPages":19,"topics":21,"createdAt":10,"pushedAt":10,"updatedAt":31,"readmeContent":32,"aiSummary":33,"trendingCount":16,"starSnapshotCount":16,"syncStatus":34,"lastSyncTime":35,"discoverSource":36},75874,"elephant-agent","agentic-in\u002Felephant-agent","agentic-in","Personal-Model First Self Evolving AI Agent 🐘","https:\u002F\u002Felephant.agentic-in.ai",null,"Python",564,60,1,16,0,327,9.36,false,"main",[22,23,24,25,26,27,28,29,30],"agent","agentic","agentic-ai","context","llm","memory","models","personal-ai","self-evolution","2026-06-12 02:03:36","\u003Cp align=\"center\">\n  \u003Cimg src=\"apps\u002Fsite\u002Fstatic\u002Fassets\u002Fresources\u002Freadme-1.png\" alt=\"Elephant Agent follows a personal path with people, places, risks, rhythms, decisions, and a Personal Model\" width=\"920\" \u002F>\n\u003C\u002Fp>\n\n\u003Cdiv align=\"center\">\n  \u003Ch1>Elephant Agent\u003C\u002Fh1>\n  \u003Cp>\n    \u003Cstrong>Elephants never forget.\u003C\u002Fstrong>\u003Cbr \u002F>\n    Personal-Model-first self-evolving AI agent · Curiosity at your pace · Reflect after the turn.\n  \u003C\u002Fp>\n  \u003Cp>\n    \u003Ca href=\"https:\u002F\u002Felephant.agentic-in.ai\u002F\">Website\u003C\u002Fa>\n    ·\n    \u003Ca href=\"https:\u002F\u002Felephant.agentic-in.ai\u002Fblog\u002Fpersonal-ai-you-create\u002F\">Blog\u003C\u002Fa>\n    ·\n    \u003Ca href=\"https:\u002F\u002Felephant.agentic-in.ai\u002Fpaper\u002F\">Paper\u003C\u002Fa>\n  \u003C\u002Fp>\n\u003C\u002Fdiv>\n\n\n## Why an Elephant?\n\n\u003Cp align=\"center\">\n  \u003Cimg src=\"apps\u002Fsite\u002Fstatic\u002Fassets\u002Fbrand\u002Felephant-logo.png\" alt=\"Elephant Agent logo\" width=\"250\" \u002F>\n\u003C\u002Fp>\n\n\nThe old saying is close to true, but the beautiful part is not storage.\nElephants remember **with meaning**.\n\nThey recognize companions by sight and smell, remember danger cues, and return\nto important places long after the last visit. Older matriarchs can guide a herd\nthrough hard seasons because memory has become **practical judgment**: who is\nsafe, where water may be found, and which warning signs deserve attention.\n\nThat is the inspiration for Elephant Agent: memory that becomes **care**,\n**context**, and **better judgment**.\n\n## From Elephant Memory to Personal AI\n\nMost AI still asks you to **begin again**. You explain the same project, the same\npeople, the same constraints, the same decisions, and the same hard-won lessons.\nLonger context windows help for a while, but they do not solve the deeper\nproblem: a personal AI should know **which memories are worth carrying forward**.\n\nElephant Agent is built around that idea. It does not try to preserve every\ntranscript. It grows a **correctable understanding** of the **paths**, **people**,\n**risks**, **rhythms**, and **decisions** that should shape future help.\n\n- It **remembers less**, but **understands deeper**.\n- It **picks up the right thread** instead of replaying the whole past.\n- It **asks gently** when one missing answer would change how it helps.\n- It **shows evidence**, accepts correction, and lets silence stand.\n- It becomes **more yours over time** because its understanding stays tied to you,\n  not just to the current task.\n\nThis is the self-evolving part: Elephant Agent does not evolve by collecting\nmore transcripts or blindly adding skills. It evolves around you as curiosity\nand background reflect jobs turn lived evidence into a clearer, correctable\nPersonal Model.\n\nOne `elephant` is a durable companion for a line of work or life context. Many\nelephants form a `herd`.\n\n## What Elephant Agent Learns\n\nElephant Agent is not trying to collect a complete profile. It learns what has durable\nvalue for future help:\n\n\u003Cp align=\"center\">\n  \u003Cimg src=\"apps\u002Fsite\u002Fstatic\u002Fassets\u002Fresources\u002Freadme-2.png\" alt=\"The four Personal Model lenses: Identity, World, Pulse, and Journey\" width=\"68%\" \u002F>\n\u003C\u002Fp>\n\n| Lens | What it carries forward |\n|---|---|\n| **Identity** | Stable self-description, values, decision style, boundaries, and durable preferences. |\n| **World** | Projects, people, tools, places, vocabulary, and relationships that shape your context. |\n| **Pulse** | Current focus, active pressure, recent constraints, mood patterns, and temporary priorities. |\n| **Journey** | Past experiences, lessons, failures, recovery patterns, and long-running growth. |\n\nThat learning comes from four loops:\n\n- **Grounded learning** from explicit remembers, corrections, and dashboard edits.\n- **Curiosity-driven learning** from one useful question when a gap would change future help.\n- **Reflect-driven background learning** from agents that read Episode steps after close, idle, diary, or manual triggers.\n- **Skill fit learning** from visible capability use while keeping durable understanding inspectable.\n\n## Curiosity, At Your Pace\n\nAt `elephant init`, you choose how curious your Elephant Agent should be:\n\n| Curiosity effort | What it feels like |\n|---|---|\n| **Quiet** | Elephant Agent mostly waits and asks rarely. |\n| **Balanced** | Elephant Agent asks at natural pauses when the answer would help. |\n| **Active** | Elephant Agent is more willing to check in and learn, while staying optional. |\n\nEvery question belongs to a Personal Model lens and exists for a reason: a gap,\na conflict, a stale pulse, or an adaptation that would improve future help.\nQuestions are visible and dismissible. Silence always wins.\n\n## You stay in control\n\nOpen the dashboard to see and shape what Elephant Agent understands:\n\n- **You** — active Identity, World, Pulse, and Journey claims.\n- **Why** — evidence behind a claim, shown when you inspect it.\n- **Questions** — open, asked, answered, and dismissed curiosity prompts.\n- **Evidence** — the trail behind understanding, not hidden prompt truth.\n\nYou can correct or forget claims, answer or dismiss questions, and keep Elephant Agent’s\nunderstanding aligned with who you are now.\n\n## Quickstart\n\nInstall Elephant Agent, create your first named elephant, then come back through `wake` whenever\nyou want to continue.\n\n### Install\n\n```bash\ncurl -fsSL https:\u002F\u002Felephant.agentic-in.ai\u002Finstall.sh | bash\n```\n\n### First run\n\n```bash\nelephant init        # choose identity, provider, and curiosity effort\nelephant herd new    # create another named elephant when you need one\nelephant wake        # enter the chat TUI\nelephant dashboard   # open You, Questions, and Evidence\n```\n\n## How It Deepens\n\n| Day 1 | Week 1 | Month 1 | Month 3 |\n|---|---|---|---|\n| It knows your first anchors | It knows the project and people in view | It asks better questions and explains why | It has grown into your rhythms, with evidence you can inspect |\n\n## Paper and blog\n\nREADME and the homepage stay product-first. The deeper system story lives here:\n\n- [Read the paper →](https:\u002F\u002Felephant.agentic-in.ai\u002Fpaper\u002F)\n- [Read the blog →](https:\u002F\u002Felephant.agentic-in.ai\u002Fblog\u002Fpersonal-ai-you-create\u002F)\n\n## Contributors\n\n\u003Cp align=\"center\">\n  \u003Cimg src=\"docs\u002Fpaper\u002Fassets\u002Fagentic-intelligence-lab-lockup.png\" alt=\"Agentic Intelligence Lab\" width=\"320\" \u002F>\n\u003C\u002Fp>\n\n\u003Cp align=\"center\">\n  \u003Cbold>\n    Agentic Intelligence Lab\n  \u003C\u002Fbold>\n\u003C\u002Fp>\n","Elephant Agent 是一个基于个人模型的自我进化AI代理，旨在通过有意义的记忆来提供更加个性化和上下文相关的帮助。项目采用Python语言开发，核心功能包括建立可纠正的理解、识别重要记忆并据此做出更好的判断。它能够记住关键的人、地点、风险、节奏和决策，而不是简单地存储所有对话记录，从而在长时间内为用户提供越来越贴合需求的支持。适用于需要长期合作且希望AI助手能够不断学习用户偏好与工作习惯的场景，如个人生活助手或专业领域的持续辅助工具。",2,"2026-06-11 03:53:33","CREATED_QUERY"]