项目介绍
Agent 配套工具 · 2026-11-09 更新 · 本站尚未实测
HVTracker 是一个面向开源 AI Agent 与 MCP 服务器的信任信息登记与排名项目。它不以 GitHub Star 数作为主要排序依据,而是汇总活动度、采用情况、透明度、供应链安全、身份与来源、证据等级等公开信号,给出 0-100 的 HVTrust 评分并持续更新榜单。官方站点为 hvtracker.net,仓库为 YugantM/hvtracker。
README 将该项目定位为“AI Trust Registry for Open-Source Agents and MCP Servers”,即面向 Agent 和 MCP 服务器的信任登记项目。它本身是一个榜单和公开数据服务,不能等同于可运行的 Agent。
核心能力
点击能力名称查看输入、输出和原文依据。
- 榜单浏览:在 hvtracker.net 查看按类别整理的 Agent 与 MCP 服务器记录。
- 横向对比:提供
/compare页面与/compare/<a>-vs-<b>/静态对比页。 - 公开数据 API:提供
/data/latest.json、单个 Agent 记录、构建报告、Scorecard 与来源信号缓存等 JSON 端点。 - 预连接验证:
/api/v1/mcp/verify?server=<id>可返回签名信任结论;README 说明已收录项目会得到完整结论,未收录但 Star 数不少于 1,000 的 AI 仓库可获得免费临时结论。 - 信任徽章:已收录项目可在 README 中嵌入 HVTrust 与 Evidence Grade 的 SVG 徽章。
- 证据分级:评分之外单独提供 A-D 的 Evidence Grade 与 Evidence Coverage,以区分“分数高”和“证据覆盖面广”。
- 数据刷新:README 称约 30 分钟刷新信号、约 24 小时完成全量扫描,并保留约 90 天历史。
实际应用场景
适用场景
- 在选型前快速了解某个开源 Agent 或 MCP 服务器在活跃度、许可证透明度、供应链信号等方面的大致情况。
- 为内部项目评审、技术文档或 README 提供可引用的公开数据链接,而不是手动截取 Star 数。
- 通过公开 API 将信任评分接入自有脚本或看板,用于候选项目筛选。
- 开发者在提交或维护自己的开源 Agent 项目时,查看评分依据并纠正记录。
需要注意:HVTracker 明确说明自己不是安全认证;缺少来源证明或 Scorecard 数据只代表信号不可用,不代表项目不安全。
安装与接入
普通用户通常无需安装,直接访问 https://hvtracker.net 即可浏览榜单、对比页与公开 API。README 给出的本地运行步骤如下,原文要求克隆仓库、安装依赖、设置 GitHub 令牌后仅渲染已有缓存:
git clone https://github.com/YugantM/hvtracker.git
cd hvtracker
pip install -r requirements.txt
export GITHUB_TOKEN=$(gh auth token) # or a personal access token
python fetch_and_build.py --render-only
python3 -m http.server 4173
访问 http://127.0.0.1:4173。若使用 Docker,README 给出 docker compose up --build web,默认在 http://127.0.0.1:8080 提供服务。README 还提到一个托管 MCP 服务路径(mcp_server.py 对应 /mcp),但未给出可供第三方客户端直接使用的 MCP 连接地址与鉴权说明,相关配置待核验。
使用条件与限制
- 是否需要部署
- 服务入口见官方资料,客户端与认证要求见正文
- 是否需要注册
- 账号和认证要求见正文;未明确说明的项目仍待核验
- 是否需要 API Key
- 待核验
- 费用与额度
- 费用边界见正文,项目许可不代表模型或托管服务免费
- 所需权限
- 待核验
- 许可证与服务条款
- 待核验
权限费用与限制
- 账号:README 提到 GitHub / Google OAuth 登录、关注列表与对比托盘等功能。
- 令牌:本地刷新需要 GitHub Token;README 示例使用
gh auth token或个人访问令牌。 - 费用:README 描述 open-core 模式,未来会将托管提醒、扩展历史、团队工作流和高频 API 访问作为私有或商业部分,但未公布价格,费用待向官方核验。
- 数据许可:公开数据集采用 CC BY 4.0;仓库代码采用 MIT。品牌、托管服务、私有增强与未来企业功能不在公开数据许可范围内。
- 边界:项目自称不是安全认证,评分不能替代安全审计;证据不足时排名会被限制。
- 环境依赖:官方站点部署于 Railway,并使用 Cloudflare 等外部服务;本地完整刷新依赖 GitHub 等外部 API。国内网络访问与部署地域待核验。
国内使用情况
网友核验 用户经验分享
与站长实测独立,不代表官方认证或本站已实测。
最近核验:暂无有效核验。参与人数按当前项目有效身份去重;不同核验项分别统计,不合并成用户总结果。仅统计审核通过且未过期的记录。
分项统计、有效期与样本量
| 核验项目 | 有效人数 | 成功 / 部分 / 失败 / 无法判断 | 成功率 | 最近核验 / 有效期 |
|---|---|---|---|---|
| 官方网站访问 | 0 | 0 / 0 / 0 / 0 | 样本不足 | 暂无 / 7 天 |
| GitHub 仓库访问 | 0 | 0 / 0 / 0 / 0 | 样本不足 | 暂无 / 7 天 |
| 安装与运行 | 0 | 0 / 0 / 0 / 0 | 样本不足 | 暂无 / 30 天 |
| 官方服务国内连接 / MCP 连接 | 0 | 0 / 0 / 0 / 0 | 样本不足 | 暂无 / 30 天 |
| 国内网络情况 | 0 | 0 / 0 / 0 / 0 | 样本不足 | 暂无 / 7 天 |
| 国内模型兼容性 | 0 | 0 / 0 / 0 / 0 | 样本不足 | 暂无 / 30 天 |
| 自定义 API | 0 | 0 / 0 / 0 / 0 | 样本不足 | 暂无 / 30 天 |
| 海外服务依赖 | 0 | 0 / 0 / 0 / 0 | 样本不足 | 暂无 / 30 天 |
| 海外账号要求 | 0 | 0 / 0 / 0 / 0 | 样本不足 | 暂无 / 30 天 |
| 中文界面 | 0 | 0 / 0 / 0 / 0 | 样本不足 | 暂无 / 30 天 |
| 客户端兼容性 | 0 | 0 / 0 / 0 / 0 | 样本不足 | 暂无 / 30 天 |
| 账号及费用信息 | 0 | 0 / 0 / 0 / 0 | 样本不足 | 暂无 / 30 天 |
成功率 = 成功 ÷(成功 + 部分成功 + 失败);无法判断不计入分母。至少 5 份可判断结果才显示成功率。账号、费用、海外依赖与语言等事实项,成功表示核查结论与资料吻合,具体观察另行统计;不表示免费或没有海外依赖。不同网络、客户端和版本的结果不能直接等同。
最近有效核验
暂无审核通过且未过期的网友核验。欢迎提交真实使用记录。
查看全部有效核验 →国内实测状态:国内可用性待核验。协议兼容和官方资料说明不等于国内网络可用。
- 官方网站访问
- 尚未实测 待核验
- GitHub 仓库访问
- 尚未实测 待核验
- 官方服务国内连接
- 尚未实测 待核验
- 国内网络情况
- 尚未实测 待核验
- 国内模型兼容性
- 尚未实测 待核验
- 自定义 API
- 尚未实测 待核验
- 海外服务依赖
- 尚未实测 待核验
- 海外账号要求
- 尚未实测 待核验
- 中文界面
- 尚未实测 待核验
- 国内最后核验时间
- 尚未实测
许可与国内使用
仓库根目录包含 MIT 许可证文件,README 声明仓库代码继续使用 MIT;公开登记数据使用 CC BY 4.0,转载或再分发数据时需遵守署名要求。品牌、托管站点、私有增强及未来商业模块不自动包含在 MIT 或 CC BY 4.0 中。
仓库本身开源不代表托管服务、商业功能或未来付费能力免费。README 未说明服务部署地域、数据存储地、国内模型支持或中国大陆网络可用性,这些均需以官方实际服务为准,待核验。
项目资料与来源
字段依据与待核验事项
access:来源确认 · Browse the live trust registry: [hvtracker.net](https://hvtracker.net)
project_type:来源确认 · AI Trust Registry for Open-Source Agents and MCP Servers
原始 README(折叠技术参考)
# HVTracker
**AI Trust Registry for Open-Source Agents and MCP Servers**
[hvtracker.net](https://hvtracker.net) ranks open-source AI agents and MCP servers by evidence-weighted trust signals, not GitHub hype.
HVTracker is an ever-growing leaderboard that tracks open-source AI agents and MCP servers across multiple categories and publishes public, machine-readable trust data for each project: activity, adoption, transparency, supply-chain safety, identity, provenance, evidence grade, and rank movement.
The core question is simple:
> Which open-source AI agent and MCP-server projects look active, adopted, transparent, and verifiable right now?
---
## Version 4
The production HVTrust score is **runtime-trust calibrated**: the supply-chain base score plus a bounded adjustment for MCP support, external service dependencies, tool/plugin surface, and package-provenance drift (methodology v4.0). A soft ceiling and evidence-first tie-break keep strong agents from piling onto an identical 100 (v4.1), and a v4.2 correction re-derives the score from the base on every build so the bounded adjustment can't compound. v4.3 narrows every runtime signal to declared evidence: dependency markers are read from dependency sections only, plugin surface from shipped plugin paths, and external services from named credentials — a name in a README, a keyword, or an npm script no longer moves a score. Every agent also carries a separate **Evidence Coverage** grade (A–D) showing how many independent signal types back its score. See the [methodology changelog](https://hvtracker.net/methodology/#changelog) and [runtime-trust spec](https://hvtracker.net/spec/runtime-trust/v0.2/).
Accounts and sign-in (GitHub / Google OAuth), watchlist, the side-by-side compare tray, and crawlable static comparison pages at `/compare/<a>-vs-<b>/` shipped in v3.1 and remain live.
---
## What You Can Do
- Browse the live trust registry: [hvtracker.net](https://hvtracker.net)
- Compare agents side by side: [hvtracker.net/compare](https://hvtracker.net/compare/)
- Read category comparison guides: [hvtracker.net/blog](https://hvtracker.net/blog/)
- Use the public API: [hvtracker.net/data/latest.json](https://hvtracker.net/data/latest.json)
- Embed live trust badges in project READMEs
## Repository Docs
- [docs/README.md](docs/README.md) - repo docs index
- [docs/open-core.md](docs/open-core.md) - public/private product boundary
- [docs/AI_HANDOVER.md](docs/AI_HANDOVER.md) - implementation handover for coding agents
- [docs/launch-v1.md](docs/launch-v1.md) - launch and distribution notes
---
## Current Snapshot
- 1,300+ listed projects — open-source AI agents plus MCP servers from the official registry (see [live count](https://hvtracker.net))
- Curated categories spanning MCP servers, coding agents, frameworks, infra, security, and more
- **~30-min** signal refresh cadence (tunable via `SIGNALS_REFRESH_MIN`)
- **~24h** expected full data sweep across sources
- **90-day** per-agent history where available
- JSON feed of agents and articles at [`/feed.json`](https://hvtracker.net/feed.json)
- Railway-hosted site with a small FastAPI edge and generated public pages/data
Newly submitted agents are listed quickly using a pending-only refresh path, then normal cron jobs keep signals fresh.
---
## Why HVTracker Exists
Most AI agent directories are either manual lists or popularity rankings. Stars can tell you what is visible. They do not tell you whether a project has maintainers, a license, package provenance, signed commits, OSSF Scorecard data, or recent activity.
HVTracker combines curation with independently checkable public evidence. The default rank is **HVTrust**, a 0-100 score designed to reward verifiable trust signals and penalize thin evidence.
```text
base = gate(
confidence x [ Safety(25) + Identity(18) + Transparency(17)
+ Maintenance(20) + Adoption(20) ]
- penalties
)
HVTrust = clamp(
base
+ RuntimeBonuses x min(1, (100 - base) / 20) # soft ceiling
- RuntimePenalties, # absolute
0..100
)
```
| Dimension | Max | What it measures |
|---|---:|---|
| Safety / Integrity | 25 | OSSF Scorecard, package provenance, signed commits |
| Identity / Provenance | 18 | Verified listing status and build provenance |
| Transparency | 17 | License and OSSF transparency checks |
| Maintenance | 20 | Freshness and recent commit activity |
| Adoption | 20 | Log-scaled, capped stars and package downloads |
The base score is then runtime-trust calibrated (v4.0+): a bounded adjustment for MCP support, external service dependencies, tool/plugin surface, and package-provenance drift, re-derived from the base on every build. Confidence is based on present vs applicable signal types. Thin evidence limits how high an agent can rank, even if it is popular.
Read the full methodology: [hvtracker.net/methodology](https://hvtracker.net/methodology)
---
## Two grades: Evidence Grade and Evidence Coverage
Each agent carries two independent A–D grades so the score and the depth of evidence behind it are never conflated.
**Evidence Grade** is the trust-score band — how trustworthy the evidence says the project is:
| Grade | Trust score |
|---|---|
| A | ≥ 80 |
| B | ≥ 65 |
| C | ≥ 50 |
| D | < 50 |
**Evidence Coverage** is separate — how many *independent* public signal types back that score (GitHub, package downloads, supply-chain, behavioural, discussion; five possible):
| Coverage | Meaning |
|---|---|
| A | Broad independent signal coverage (≥ 4 of 5 types) |
| B | Strong public evidence with some gaps (3) |
| C | Basic public evidence (2) |
| D | Mostly GitHub-only or thin evidence (1) |
A high score built on thin evidence keeps a low coverage grade, so breadth stays visible. Both are on every agent page and in the public API (`evidence_grade`, `coverage_grade`, `signal_types`).
HVTracker is not a security certification. Missing provenance, Scorecard, or signature data can mean a signal is unavailable, not that a project is unsafe.
---
## Categories
Projects are curated across MCP servers, coding agents, agent frameworks, workflow platforms, browser & computer use, memory & knowledge, research & data, observability & evaluation, security & guardrails, protocols & tool integration, and more. Live per-category counts (they move as the registry grows) are on the site: [hvtracker.net/categories](https://hvtracker.net/categories/).
---
## Public Data API
The public dataset is licensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). CORS is open for public endpoints.
| Endpoint | Description |
|---|---|
| [`/data/latest.json`](https://hvtracker.net/data/latest.json) | Current public trust registry snapshot |
| [`/data/agents/{slug}.json`](https://hvtracker.net/data/agents/dify.json) | Per-agent record with history, events, and trust credential |
| [`/data/build_report.json`](https://hvtracker.net/data/build_report.json) | Build integrity report |
| [`/data/signals/scorecard.json`](https://hvtracker.net/data/signals/scorecard.json) | OSSF Scorecard signal cache |
| [`/data/signals/provenance.json`](https://hvtracker.net/data/signals/provenance.json) | Package provenance signal cache |
| [`/feed.json`](https://hvtracker.net/feed.json) | JSON Feed with agents and comparison guides |
| [`/api/v1/mcp/verify?server=<id>`](https://hvtracker.net/api/v1/mcp/verify?server=topoteretes/cognee) | Pre-connect, signed trust verdict for an agent or MCP server. Curated agents return a full verdict; an unlisted **AI repo with ≥1,000 stars** gets a free provisional verdict; others route to `/submit`. |
| [`/api/v1/verify/recent`](https://hvtracker.net/api/v1/verify/recent) | Public feed of the last 100 checked projects (checks are public by default). |
| [`/llms.txt`](https://hvtracker.net/llms.txt) | LLM-readable project summary and key links |
---
## Trust Badges
Listed projects can embed live HVTrust and evidence-grade badges.
```md
[](https://hvtracker.net/agents/<slug>/)
[](https://hvtracker.net/agents/<slug>/)
```
Example:
```md
[](https://hvtracker.net/agents/dify/)
[](https://hvtracker.net/agents/dify/)
```
The exact snippet is shown on every agent profile page.
---
## Open-Core Boundary
HVTracker uses an open-core model.
- Public: methodology, specs, curated registry entries, current trust scores, public profiles, correction flow, and the public data API.
- Private later: hosted alerts, watchlists, extended history, team workflows, and higher-volume API access.
The code in this repository remains under the repo's existing MIT license. Public registry data remains licensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). The brand, hosted service, private enrichment, and future enterprise workflows are not implicitly included in that public-data license.
Read [docs/open-core.md](docs/open-core.md) before widening the public API or changing what gets stored internally.
---
## SEO And Comparison Pages
HVTracker publishes crawlable, data-backed comparison pages:
- Category pages: `/categories/<category>/`
- Agent comparison pages: `/compare/<agent-a>-vs-<agent-b>/`
- Blog comparison guides: `/blog/<category>-top-agents/`
These pages are generated from the current registry data, included in `sitemap.xml`, and linked from `feed.json` and `llms.txt`.
---
## How It Works
```text
agents.json ──┐
├──> fetch_and_build.py ──> index.html
history/ ───┤ agents/<slug>/index.html
scorecard- ───┘ data/latest.json
cache.json data/agents/<slug>.json
```
1. `fetch_and_build.py` reads curated agents from `agents.json`.
2. Public APIs are fetched in parallel where safe and serially where rate limits require it.
3. HVTrust scores, evidence grades, rank deltas, trust breakdowns, and events are computed.
4. Static pages, JSON endpoints, badges, specs, feed files, sitemap, and build reports are generated.
5. Railway serves the generated site from a persistent volume and refreshes it every 4 hours.
### Build Modes
```bash
python fetch_and_build.py # full refresh
python fetch_and_build.py --batch 1/6 # one staggered batch
python fetch_and_build.py --pending-only
python fetch_and_build.py --render-only
```
- `--pending-only` refreshes newly listed agents without running a full batch.
- `--render-only` rebuilds pages from cached render state without API calls.
### Manual Production Deploy
Merging is not deploying. Production only changes when someone uploads a
build, and that upload always comes from a **clean worktree** — the
Dockerfile copies tracked files by name, so a dirty tree bakes work in
progress into the image.
```bash
git worktree add --detach /tmp/hvtracker-deploy main
cd /tmp/hvtracker-deploy
railway up --detach
```
Deploy from inside the directory: `railway up <path>` given a path outside
the current directory uploads nothing and exits at "Indexing". The Railway
project is named `hvtracker-cron`; the site is the `web` service inside it,
so check `railway status` before assuming. `--ci` exits non-zero on
"Failed to stream build logs" even when the deploy is fine — poll
`railway status` until the deployment id changes rather than trusting that
exit code.
Verify with `curl -A "Mozilla/5.0" https://hvtracker.net/healthz` (Cloudflare
blocks default user agents) and check `agents`, `catalog_agents` and
`render_in_sync` in the response.
---
## Running Locally
```bash
git clone https://github.com/YugantM/hvtracker.git
cd hvtracker
pip install -r requirements.txt
export GITHUB_TOKEN=$(gh auth token) # or a personal access token
python fetch_and_build.py --render-only
python3 -m http.server 4173
```
Open [http://127.0.0.1:4173](http://127.0.0.1:4173).
### Local Docker Workflow
Use Docker when you want discovery, dry-run additions, renders, and the app
to run in the same local container environment.
```bash
docker compose up --build web
```
This serves the app at [http://127.0.0.1:8080](http://127.0.0.1:8080).
For registry work, run the tooling service against your checked-out repo so
changes to `agents.json` or `candidates.json` persist locally:
```bash
export GITHUB_TOKEN=... # required for GitHub discovery/API-backed refreshes
docker compose run --rm tooling python discover_agents.py
docker compose run --rm tooling python auto_add_agents.py --dry-run
docker compose run --rm tooling python fetch_and_build.py --render-only
docker compose run --rm tooling python -m pytest tests/test_discovery.py tests/test_data_integrity.py
```
For manual candidate review, edit `docs/import-candidates.json` with either
`owner/name`, full GitHub URLs, or object entries, then query:
```bash
curl -s http://127.0.0.1:8080/api/import-candidates | python -m json.tool
curl -s "http://127.0.0.1:8080/api/import-candidates?status=new&tracked=false" | python -m json.tool
```
Notes:
- `tooling` bind-mounts the repo into `/workspace`, so file changes are written
back to your local checkout.
- `auto_add_agents.py` writes to `agents.json` only without `--dry-run`.
- `fetch_and_build.py --render-only` stays local and avoids external API calls.
Production runs on Railway with:
- FastAPI for health, API, forms, and dynamic badge routes
- Generated site output stored on a persistent volume
- A 4-hour scheduler: each run fully re-fetches the stalest sixth of the board and refreshes GitHub signals for the rest
---
## Submit Or Correct An Agent
Use the [agent listing issue template](https://github.com/YugantM/hvtracker/issues/new?template=agent-listing.yml).
A listed project should be:
- A public, non-archived GitHub repository with an open-source license
- An AI agent or an agent framework whose primary purpose is agent construction
- Clearly agent-specific in its own codebase, not a general AI SDK, model repo, cookbook, or generic app framework
- Active within the last 12 months
- Not already listed
Include the canonical repository, preferred display name, category suggestion, package names, and any correction details.
For the strict plain-language boundary, see [docs/strict-inclusion-rubric.md](/Users/harsiddhipari/hv_tracker/docs/strict-inclusion-rubric.md).
---
## Specifications
- [Runtime Trust v0.2](https://hvtracker.net/spec/runtime-trust/v0.2/) - the adjustment table the production score is computed from
- [Trust Credential v0.2](https://hvtracker.net/spec/trust-credential/v0.2/)
- [Methodology v2.0](https://hvtracker.net/spec/methodology/v2.0/)
- [Eligibility v1.0](https://hvtracker.net/spec/eligibility/v1.0/)
- [Listing v0.1](https://hvtracker.net/spec/listing/v0.1/)
- [Data Schema v0.1](https://hvtracker.net/spec/data-schema/v0.1/)
- [Provenance v0.1](https://hvtracker.net/spec/provenance/v0.1/)
- [Build Report v0.1](https://hvtracker.net/spec/build-report/v0.1/)
---
## Repository Layout
```text
hvtracker/
├── fetch_and_build.py # Core build, scoring, and rendering
├── app.py # FastAPI edge: serving, /healthz, refresh scheduler
├── auth.py # Accounts, watchlist, notifications
├── db.py # Postgres layer, falls back to agents.json
├── usage.py # Machine-traffic counters behind /live/
├── mcp_server.py # Hosted MCP server (/mcp)
├── specs.py # Specification content
├── template.html # Main registry template
├── templates/ # Agent, category, blog, compare, and spec templates
├── agents.json # Curated registry of agents and MCP servers
├── scan_scorecards.py # Sharded OSSF Scorecard scan
├── discover_agents.py # Discovery scan
├── scripts/gates.sh # The PR gates, in one command
├── tests/ # Suite + validate_html.py
├── seed/history/ # Rank-delta baseline shipped in the image
├── docs/ # Launch, research, and operating docs
├── data/ # Generated public data endpoints
├── agents/ # Generated per-agent pages
├── badge/ # Generated SVG badges
└── blog/ # Generated and static articles
```
---
## License
The public data is licensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/). Review [docs/open-core.md](docs/open-core.md) before changing the public/private data boundary for a future company-backed edition.
历史前置条件说明(补充参考)
浏览与调用公开API一般无需安装;本地运行需 Git、Python 与 requirements.txt 中的依赖,以及 GitHub Token;Docker 可选。托管服务的登录、关注列表、私有功能与商业模块费用待核验;第三方MCP客户端连接地址、鉴权方式和传输协议待核验。
项目来源与清单版权许可
https://github.com/YugantM/hvtracker
整理来源:https://github.com/slavakurilyak/awesome-ai-agents
清单版权与许可:
MIT License
Copyright (c) 2024 Slava Kurilyak
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.