Substrate VS Pi Coding Agent对比,Substrate 和 Pi Coding Agent 有什么区别?








The only inference API optimized for multi-step AI. Connect nodes from a curated library that includes optimized ML models, built-in file and vector storage, a code interpreter, and logical control flow.
Substrate 着陆页

Pi is a minimal terminal coding harness. Adapt Pi to your workflows, not the other way around. Customize Pi with extensions, skills, prompt templates, and themes. Bundle them as Pi packages and share via npm or git. Pi ships with powerful defaults but skips features like sub-agents and plan mode. Ask Pi to build what you want, or install a package that does it your way.
Pi Coding Agent 着陆页


| 类别 | AI智能体, 人工智能接口, AI开发者工具, AI工作流, AI模型 |
| Substrate 网站 | https://www.substrate.run?utm_source=toolify |
| 添加时间 | 2024年7月10日 |
| Substrate 定价 | -- |
| 类别 | AI智能体, AI代码助手, AI开发者工具, AI代码生成器 |
| Pi Coding Agent 网站 | https://pi.dev?utm_source=toolify |
| 添加时间 | 2026年6月3日 |
| Pi Coding Agent 定价 | -- |
Users can describe their tasks by connecting components (nodes) within the Substrate platform. The platform automatically optimizes the workflow as a directed acyclic graph, merging nodes that can be run in a batch. Substrate provides SDKs in Python and TypeScript for building compound AI systems.
To use Pi, install it via the terminal using curl, PowerShell, npm, pnpm, or bun (for example, run `npm install -g --ignore-scripts @earendil-works/pi-coding-agent`). Once installed, developers can start an interactive TUI session, run it in print mode using `pi -p "query"` for shell scripting, or switch models mid-session using `/model` or `Ctrl+L`. Users can customize its functionality by editing configurations like `models.json` or installing extensions directly using commands like `pi install npm:@foo/pi-tools`.
Free with $50 starter credits, then $30/month + usage
8 node concurrency limit, Access to community Slack
$500/month + usage
64 node concurrency limit, Prioritized input to our roadmap
Contact sales
Maximum node concurrency limit, Custom models, Dedicated instances, Support via private Slack
Contact sales
Substrate runs on your cluster, Custom model deployments, Generated SDKs
对不起,没有数据
Substrate 是月访问量为 2.1K 且平均访问时长为 00:00:38 的工具。 Substrate 的每次访问页数为 2.05,跳出率为 40.12%。
| 月访问量 | 2.1K |
| 平均·访问时长 | 00:00:38 |
| 每次访问页数 | 2.05 |
| 跳出率 | 40.12% |
Pi Coding Agent 是月访问量为 403.3K 且平均访问时长为 00:01:51 的工具。 Pi Coding Agent 的每次访问页数为 1.94,跳出率为 65.20%。
| 月访问量 | 403.3K |
| 平均·访问时长 | 00:01:51 |
| 每次访问页数 | 1.94 |
| 跳出率 | 65.20% |
Substrate 的前 1 个国家/地区是:United States 100.00%
![]() | 100.00% |
Pi Coding Agent 的前 5 个国家/地区是:United States 26.62%, Germany 7.57%, China 6.78%, India 5.07%, Indonesia 3.74%
![]() | 26.62% |
| 7.57% | |
| 6.78% | |
| 5.07% | |
| 3.74% |
Substrate 的 6 个主要流量来源是:邮件 0, vs_sourcesGenAi 0, 直接访问 0, vs_sourcesAffiliate 0, 外链引荐 0, vs_sourcesDisplayAds 0, vs_sourcesSearchPaid 0, vs_sourcesSocialPaid 0, vs_sourcesSearchOrganic 0, vs_sourcesSocialOrganic 0
邮件 | 0 |
vs_sourcesGenAi | 0 |
直接访问 | 0 |
vs_sourcesAffiliate | 0 |
外链引荐 | 0 |
vs_sourcesDisplayAds | 0 |
vs_sourcesSearchPaid | 0 |
vs_sourcesSocialPaid | 0 |
vs_sourcesSearchOrganic | 0 |
vs_sourcesSocialOrganic | 0 |
Pi Coding Agent 的 6 个主要流量来源是:直接访问 51.54%, 外链引荐 16.44%, vs_sourcesSearchOrganic 15.87%, vs_sourcesSocialOrganic 14.40%, 邮件 1.24%, vs_sourcesGenAi 0.26%, vs_sourcesDisplayAds 0.17%, vs_sourcesSocialPaid 0.07%, vs_sourcesAffiliate 0.00%, vs_sourcesSearchPaid 0.00%
直接访问 | 51.54% |
外链引荐 | 16.44% |
vs_sourcesSearchOrganic | 15.87% |
vs_sourcesSocialOrganic | 14.40% |
邮件 | 1.24% |
vs_sourcesGenAi | 0.26% |
vs_sourcesDisplayAds | 0.17% |
vs_sourcesSocialPaid | 0.07% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesSearchPaid | 0.00% |
Pi Coding Agent 可能比 Substrate 更受欢迎。如您所见,Substrate 每月有 2.1K 次访问,而 Pi Coding Agent 每月有 403.3K 次访问。 所以更多的人选择了Pi Coding Agent。 因此,人们很可能会在社交平台上更多地推荐 Pi Coding Agent。
Substrate 的平均访问持续时间为 00:00:38,而 Pi Coding Agent 的平均访问持续时间为 00:01:51。 此外,Substrate 的每次访问页面为 2.05,跳出率为 40.12%。 Pi Coding Agent 的每次访问页面为 1.94,跳出率为 65.20%。
Substrate 的主要用户是United States,分布如下:100.00%。
Pi Coding Agent 的主要用户是 United States, Germany, China, India, Indonesia,分布如下:26.62%, 7.57%, 6.78%, 5.07%, 3.74%。