为团队和构建者提供私密的 AI 研究与智能体工作空间,可基于文档、网页和笔记生成来源可追溯的研究报告。
odysseusai.org 源码★ 2,828AGPL-3.0AI 模型与智能体 / AI 搜索与问答
- 月访问
- 暂无
- 暂无访问数据
- 公开收入
- 未公开
- 暂无公开收入证据
- 入门价
- $15.83/月
- 高于同类 59% 的产品同类中位数 $12.49/月
- 首次发布
- 5 个月前
- 2026-06-17 · 估算
访问
近 12 个月
暂无访问数据。
营销动作
发布、搜索与内容、引荐、促销在 V2EX 发布发布
做了一个隐私优先的 AI 研究工作区,支持 BYOK,欢迎来试试 — 最近做了个小工具 Odysseus AI ,起因是自己做调研时经常要把一堆 PDF 、链接丢进 AI 工具里问,但总担心资料被留存或拿去训练模型,用完了下次还得重新整理。 所以做了这个:支持 BYOK (通过 OpenRouter 接自己的 Key ),尽量走 Zero-Da…
7 月 18 日 · 4 个月前发布页
在 Fazier 发布(25 票 · 5 评论)发布
Odysseus AI — Private AI Research Workspace for Cited Briefs
7 月 8 日 · 4 个月前发布页
第三方评测与案例拆解
获客渠道拆解、工程师评测与开源档案Fazier
2026-07-08查看原文
- 核心亮点评测:
- Deep Research Reports: Turn URLs, PDFs, Markdown, TXT files, and notes into a structured brief with a full source table Private Workspace: Isolated cloud workspace per user — data never used to train models Document Context: Upload files and saved sources as controlled context for guided research runs OpenRouter Model Routing: Managed routing with optional BYOK for users who want their own API keys Zero-Data-Retention Routing: ZDR routing where supported by the model provider Saved Sources & Notes: Reuse prior sources, notes, and reports as context across research runs Source Traceability: Every claim in a research brief links back to its underlying source Open Source: Core codebase on GitHub with 76k+ stars and 9.9k+ forks
- 适用人群:
- Academic & Technical Literature Review: Synthesize research papers, PDFs, and standards docs into a cited brief Due Diligence & Investment Research: Turn filings, datasheets, and notes into a traceable diligence report Competitor & Product Benchmarking: Analyze competitor pages, pricing, and documentation from one private workspace Market & Competitive Intelligence: Combine market reports, analyst URLs, and press releases into a structured summary Private Research Workflows: Any workflow requiring controlled source context, citation traceability, and data privacy
Fazier
2026-07-08查看原文
- 核心亮点评测:
- Guided Deep Research — submit URLs, PDFs, Markdown, TXT files, and pasted notes; get back a structured brief with a numbered source table Source Traceability — every claim in the output links to the exact source it came from, so nothing is unverifiable Private Isolated Workspace — each user gets their own cloud workspace; no shared context, no cross-user data leakage No Training on Your Data — Odysseus never uses your files, notes, or reports to train models Zero-Data-Retention Routing — ZDR API routing where supported by the underlying model provider OpenRouter Model Routing — managed routing through OpenRouter with optional BYOK (Bring Your Own Key) Saved Sources & Notes — reuse sources, notes, and prior reports as context across future research runs Document Uploads — use PDFs, Markdown, and TXT files directly as controlled context; no copy-paste required
- 适用人群:
- Academic & Technical Literature Review — collect papers, PDFs, and standards docs; get a cited brief with every claim linked to its source Due Diligence & Investment Research — feed in public filings, datasheets, analyst notes, and saved sources; get a traceable diligence brief reviewers can actually check Competitor & Product Benchmarking — add competitor pages, pricing, docs, and your own notes; Odysseus turns them into a structured comparison Market & Competitive Intelligence — combine market reports, analyst URLs, and press releases into one private, source-cited summary Regulatory & Compliance Research — consolidate regulations, guidance documents, and internal policies into a traceable reference brief Content & Thought Leadership Research — gather references and background sources before writing; always know where your facts came from
V2EX
2026-07-18查看原文
- 创作者原帖摘录:
- 最近做了个小工具 Odysseus AI ,起因是自己做调研时经常要把一堆 PDF 、链接丢进 AI 工具里问,但总担心资料被留存或拿去训练模型,用完了下次还得重新整理。 所以做了这个:支持 BYOK (通过 OpenRouter 接自己的 Key ),尽量走 Zero-Data-Retention 路由; Agent 只能访问你明确授权的文件和记忆,不是全盘可读;之前存的资料和报告可以复用,不用每次重新上传;生成的报告也带来源引用,方便核对。 比较适合文献综述、竞品调研这类要反复翻私有资料的场景,日常闲聊用普通 Chat 工具可能更顺手。 目前是按年订阅,没有免费版,30 天内不满意可退款。 官网: https://odysseusai.org/ 详细介绍写在这篇笔记里: https://hackmd.io/
开源仓库与 Agent 生态
GitHub 开源与智能体接入
最近提交 2026-07-15
- GitHub 星标
- ★ 2,828
- 分支数 (Forks)
- 385
- 开源协议
- AGPL-3.0
- 主要语言
- Go
Agent 智能体、MCP 与开发者接入
MCP Server- 连接生态与集成:
- OpenRouter
流量来源
访问构成
这个网站的访问渠道与国家构成还没有数据。
搜索
站点权重 —域名注册 2026-06-01
这个网站还没有搜索关键词数据。
流量数据:Vaneform
定价
Starter
$190/年(按年付)
20 research reports per month · 4 estimated managed agent runs per month · 500 saved sources & notes · 25 GB workspace storage
Pro
$390/年(按年付)
60 research reports per month · 14 estimated managed agent runs per month · 2,500 saved sources & notes · 100 GB workspace storage
Max
$990/年(按年付)
150 research reports per month · 33 estimated managed agent runs per month · 10,000 saved sources & notes · 250 GB workspace storage
试用:未提供 · 3 档付费($190–$990) · 观察于 2026-11-06 · 原定价页
入门价 $15.83/月,高于同类 59% 的产品;「AI 搜索与问答」中位数 $12.49/月。查看定价基准
页面与变化
开始记录于 2026-06-18
关键页面
每周快照odysseusai.org/ 快照 2026-11-06
变化
开始记录以来,定价、套餐与定位都没有变化。
问题与证据
- Odysseus AI 的价格是多少?
- Starter: $190/年(按年付); Pro: $390/年(按年付); Max: $990/年(按年付). 观察于 2026-11-06。 当前计费条件、用量限制与税费以来源页面为准。来源
- Odysseus AI 是什么产品,支持哪些平台?
- Odysseus AI 归属「AI 搜索与问答」赛道:Odysseus AI 为团队和构建者提供私密的 AI 研究与智能体工作空间,可基于文档、网页和笔记生成来源可追溯的研究报告。。 支持平台包括:网页。
- Odysseus AI 是开源项目吗?采用什么协议?
- Odysseus AI 拥有公开代码仓库(https://github.com/pewdiepie-archdaemon/odysseus),采用 AGPL-3.0 协议,记录有 2,828 个 GitHub Stars。来源
同分类研究对象
AI 模型与智能体 / AI 搜索与问答
这些产品属于同一目录分类。选型时请进一步核对客户任务、功能与部署要求。