inno-agent 是一个「education」类 AI agent,解决:自动规划学习路径、记忆学习内容并主动提醒我复习，避免遗忘和低效学习。定价:Free。截至 2026-10-27,KanonAgent 记录到 1.3k 票。本站首次收录于 2026-07-25。
一个开源的个人学习智能体，具备三层记忆系统（学习者档案/知识库/跨对话回忆）、主动日程安排、个人即时通讯通道和工作区限定的练习实验室，帮助用户系统化、主动地进行个性化学习。
1.3k 票
Kanon 于 2026 年 7 月 25 日 收录
状态依据:npm_downloads_7d gained 159597 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
📈 时间线什么时候变了什么
- 加速 npm_downloads_7d gained 159597 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- 加速 npm_downloads_7d gained 159597 in the last 3d vs 103558 in the 3d before (ratio 1.5x, threshold 1.5x)
- 加速 npm_downloads_7d gained 159597 in the last 3d vs 103558 in the 3d before (ratio 1.5x, threshold 1.5x)
- 降温 npm_downloads_7d momentum fell to -834870 per 3d from 147556 (<= 40% of the prior window)
- 降温 npm_downloads_7d momentum fell to -812523 per 3d from 435951 (<= 40% of the prior window)
- 降温 npm_downloads_7d momentum fell to 0 per 3d from 664417 (<= 40% of the prior window)
- 降温 npm_downloads_7d momentum fell to 147556 per 3d from 737842 (<= 40% of the prior window)
- 降温 npm_downloads_7d momentum fell to 147556 per 3d from 737842 (<= 40% of the prior window)
- 加速 npm_downloads_7d gained 664417 in the last 3d vs 359057 in the 3d before (ratio 1.9x, threshold 1.5x)
- 加速 npm_downloads_7d gained 737842 in the last 3d vs 309260 in the 3d before (ratio 2.4x, threshold 1.5x)
- 加速 npm_downloads_7d gained 587523 in the last 3d vs 257652 in the 3d before (ratio 2.3x, threshold 1.5x)
- 加速 npm_downloads_7d gained 587523 in the last 3d vs 257652 in the 3d before (ratio 2.3x, threshold 1.5x)
- 降温 npm_downloads_7d momentum fell to 309260 per 3d from 2170674 (<= 40% of the prior window)
- 降温 npm_downloads_7d momentum fell to 257652 per 3d from 2084206 (<= 40% of the prior window)
- 降温 npm_downloads_7d momentum fell to 257652 per 3d from 2084206 (<= 40% of the prior window)
- 加速 npm_downloads_7d gained 2170674 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- 加速 npm_downloads_7d gained 2084206 in the last 3d vs 76824 in the 3d before (ratio 27.1x, threshold 1.5x)
- 加速 npm_downloads_7d gained 972862 in the last 3d vs 115219 in the 3d before (ratio 8.4x, threshold 1.5x)
- 异常 daily change 959393.0 is 6.1 standard deviations from this entity's own prior mean (5787.9±157198.6, baseline excludes this point) — unusual, not necessarily adoption
- 降温 npm_downloads_7d momentum fell to 0 per 3d from 34715 (<= 40% of the prior window)
- 加速 npm_downloads_7d gained 972862 in the last 3d vs 115219 in the 3d before (ratio 8.4x, threshold 1.5x)
- 降温 npm_downloads_7d momentum fell to 0 per 3d from 34715 (<= 40% of the prior window)
- 降温 npm_downloads_7d momentum fell to -535913 per 3d from 295646 (<= 40% of the prior window)
- 降温 npm_downloads_7d momentum fell to -574308 per 3d from 295646 (<= 40% of the prior window)
🔎 已知 / 未知
23 个字段里 14 个未知
| 可机器调用 | — | 未知 | — |
| 开源 | 1 | 已核实 | 1 条引文 |
| 可自托管 | — | 未知 | — |
| 需自带 key | — | 未知 | — |
| 自主度 | 2 | 推断 | 2 条引文 |
| 计费模式 | — | 未知 | — |
| 集成面 | — | 未知 | — |
「未知」= 我们没核实过,**不等于「否」**。硬性筛选永远不会把未知当成否。
🤖 Agent 拆解 · education
解决什么场景自动规划学习路径、记忆学习内容并主动提醒我复习，避免遗忘和低效学习。
自主度L2 · 有工具调用(引文: "personal IM channels (Feishu / WeChat)…")
目标市场To C
前置条件开源
定价Free
牵引 · 为什么在涨402 PH votes, active GitHub repo with regular commits
为什么值得关注
三层记忆架构与主动调度机制结合，构建了可长期演进的个人学习代理，具备强可复用性和开源生态潜力。
证据引文判定所依据的原文 · 逐字引用
“public GitHub repository (README fetched)”— structural
“personal IM channels (Feishu / WeChat)”— readme
“proactive scheduler, personal IM channels”— description
信号来源: GitHub
访问官网 →
📛 官方徽章挂到官网 / README
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手机端点「分享」直达微信/朋友圈/小红书;桌面端用「复制文案」后到 App 内粘贴发布
常见问题
inno-agent 是什么?
一个开源的个人学习智能体，具备三层记忆系统（学习者档案/知识库/跨对话回忆）、主动日程安排、个人即时通讯通道和工作区限定的练习实验室，帮助用户系统化、主动地进行个性化学习。
inno-agent 解决什么问题?
自动规划学习路径、记忆学习内容并主动提醒我复习，避免遗忘和低效学习。
inno-agent 为什么值得关注?
三层记忆架构与主动调度机制结合，构建了可长期演进的个人学习代理，具备强可复用性和开源生态潜力。
inno-agent 多少钱?
Free
inno-agent 有免费版吗?
有。inno-agent 提供免费档,产品自述的定价原文:Free
inno-agent 是开源的吗?
是。inno-agent 为开源项目。
inno-agent 有多少人在用?
KanonAgent 记录到:1.3k 票(本站首次收录于 2026-07-25)。
inno-agent 有什么替代品?
KanonAgent 库内的同类 agent:Confidential Startup、Codédex、Stealth Company、Dataford Inc.、Atlas、Verbi。