Sponsored by Tripo AI.

Agenta VS Polygres

Agenta VS Polygres对比,Agenta 和 Polygres 有什么区别?

猜你喜欢

总结

Agenta 总结

Agenta is an open-source LLMOps platform for building reliable AI apps. Manage prompts, run evaluations, and debug traces. We help developers and domain experts collaborate to ship LLM applications faster and with confidence.

Agenta 着陆页

Polygres 总结

Polygres turns Postgres into working memory for AI agents. Retrieve structured rows, connected relationships, semantic matches, and full-text results through one hybrid API. All without a separate vector store, graph database, or sync pipeline. Build grounded agents over the data you already have, with relational, graph, and vector context joined at the source. Use the managed cloud or self-host with our open source components. Polygres is currently free to use, just sign up!

Polygres 着陆页

比较详细信息

Agenta 详细信息

类别 AI开发者工具, 提示词工程, 大语言模型 LLMs, AI智能体, AI监控
Agenta 网站 https://www.agenta.ai?utm_source=toolify
添加时间 2025年12月2日
Agenta 定价 --

Polygres 详细信息

类别 AI开发者工具, AI智能体, AI知识图谱, 人工智能接口, AI搜索引擎
Polygres 网站 https://polygres.com?utm_source=toolify
添加时间 2026年8月26日
Polygres 定价 --

使用情况比较

如何使用 Agenta?

Users can utilize Agenta to centralize their prompts, run experiments in a unified playground, compare different prompts and models side-by-side, and track changes with complete version history. The platform supports automated and human evaluations to validate changes and provides tools for tracing every request, debugging failure points, and monitoring production performance. It also enables collaboration by allowing product managers and domain experts to edit prompts and run evaluations directly from the UI.

如何使用 Polygres?

Create a Polygres managed instance or install the open-source components on an existing PostgreSQL database. Connect your schema and use the SDK or retrieval API to submit a natural-language query with options such as graph traversal depth, filters, and token limits. Polygres combines relational, graph, vector, and text results into one ranked, token-ready context block that can be passed directly to an AI agent.

比较 Agenta 和 Polygres 的优势

Agenta的核心功能

  • Prompt Management (Engineering, Versioning, Unified Playground)
  • LLM Evaluation (Automated, Human, Full Trace, Integrations)
  • Observability (Tracing, Debugging, Monitoring, Feedback Loop)
  • Collaboration Tools (UI for experts, Evals for PMs, API/UI parity)
  • Open-source and Model Agnostic

Polygres的核心功能

  • Unified relational, graph, vector, and full-text retrieval
  • Native graph traversal over existing PostgreSQL foreign keys
  • Fused hybrid search with dense HNSW, sparse, filtered, and semantic retrieval
  • Token-ready context assembly for grounded AI agents
  • Shortest-path, neighborhood, relationship, and multi-hop graph queries
  • Managed cloud hosting and open-source self-hosting
  • PostgreSQL-native data retrieval without a separate vector store or sync pipeline

比较使用案例

Agenta的使用案例

  • Building and iterating on reliable LLM applications collaboratively.
  • Systematically evaluating LLM performance and validating changes with evidence.
  • Debugging complex AI systems by tracing requests and pinpointing errors.
  • Centralizing prompt management and version control across teams.
  • Empowering non-technical domain experts to contribute to prompt engineering and evaluation.

Polygres的使用案例

  • Build grounded AI agents that retrieve customer records, orders, tickets, and related history
  • Investigate failed transactions by combining semantic search with order, payment, and dispute relationships
  • Create user-memory systems that retrieve relevant past interactions and connected data
  • Query Wikipedia-scale datasets using hybrid indexes and graph relationships
  • Provide support agents with ranked, database-backed context
  • Develop recommendation and discovery systems using existing PostgreSQL data

Agenta和Polygres的不同计划

Agenta

Hobby

Free /month

2 users and 5k traces per month included. Unlimited prompts, 2 seats included, 20 evaluations / month included, 5k traces / month included, 30 days retention period, Community support via Github.

Pro

$49 /month

3 users and 10k traces per month included, pay as you go thereafter. Up to 10 seats, Unlimited evaluations, 10k traces / month included then $5 for every 10k, In-app support, 90 days retention period.

Business

$399 /month

Unlimited seats and 1M traces included per month. Everything from Pro, Role-based Access Control, SOC2 reports, Private Slack Channel, 365 days retention period, SSO and MFA (soon), Business SLA.

Enterprise

Custom

Personalised service and enterprise security for large teams. Everything from Business, Volume pricing, Audit logs, Custom retention periods, Bring Your Own Cloud, Dedicated Support, Self-hosted deployment options, Security reviews, Custom SLA, Custom terms & DPA.

Polygres

Self-Hosted

$0 / forever

Open-source pgGraph and pgVector, runnable on any PostgreSQL instance, with community support.

Free Launch

$16 / month

Managed cloud database hosting with email and community Discord support. Currently free for now.

Scale

$256 / month minimum usage

Automated vertical and horizontal scaling, email and community Discord support, private Discord or Slack channel, and support hours from 8:00 AM to 5:00 PM.

Enterprise

$4,096 / month minimum usage

Coming soon. Includes dedicated database infrastructure, custom compliance, high availability, 24/7 support, and dedicated support and uptime SLAs.

比较流量/月访问量

Agenta的流量

Agenta 是月访问量为 29.1K 且平均访问时长为 00:00:31 的工具。 Agenta 的每次访问页数为 2.04,跳出率为 40.22%。

最新流量情况

月访问量 29.1K
平均·访问时长 00:00:31
每次访问页数 2.04
跳出率 40.22%
Aug 2025 - Jul 2026 所有流量:

Polygres的流量

Polygres 是月访问量为 11.6K 且平均访问时长为 00:00:12 的工具。 Polygres 的每次访问页数为 1.40,跳出率为 92.09%。

最新流量情况

月访问量 11.6K
平均·访问时长 00:00:12
每次访问页数 1.40
跳出率 92.09%
May 2026 - Jul 2026 所有流量:

地理位置

Agenta 的前 5 个国家/地区是:United States 23.78%, India 18.79%, Vietnam 8.70%, Brazil 7.88%, United Kingdom 7.00%

Top 5 国家/地区

United States
23.78%
India
18.79%
Vietnam
8.70%
Brazil
7.88%
United Kingdom
7.00%

地理位置

Polygres 的前 1 个国家/地区是:United States 100.00%

Top 1 国家/地区

United States
100.00%

流量来源

Agenta 的 6 个主要流量来源是:vs_sourcesSearchOrganic 40.21%, 直接访问 29.09%, vs_sourcesGenAi 10.97%, vs_sourcesSocialOrganic 10.08%, 外链引荐 7.18%, 邮件 2.47%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSearchPaid 0.00%, vs_sourcesSocialPaid 0.00%

vs_sourcesSearchOrganic
40.21%
直接访问
29.09%
vs_sourcesGenAi
10.97%
vs_sourcesSocialOrganic
10.08%
外链引荐
7.18%
邮件
2.47%
vs_sourcesAffiliate
0.00%
vs_sourcesDisplayAds
0.00%
vs_sourcesSearchPaid
0.00%
vs_sourcesSocialPaid
0.00%
Aug 2025 - Jul 2026 仅限全球桌面设备

流量来源

Polygres 的 6 个主要流量来源是:直接访问 57.14%, vs_sourcesSocialOrganic 21.37%, vs_sourcesSearchOrganic 13.47%, 外链引荐 5.27%, 邮件 2.75%, vs_sourcesGenAi 0.00%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSearchPaid 0.00%, vs_sourcesSocialPaid 0.00%

直接访问
57.14%
vs_sourcesSocialOrganic
21.37%
vs_sourcesSearchOrganic
13.47%
外链引荐
5.27%
邮件
2.75%
vs_sourcesGenAi
0.00%
vs_sourcesAffiliate
0.00%
vs_sourcesDisplayAds
0.00%
vs_sourcesSearchPaid
0.00%
vs_sourcesSocialPaid
0.00%
May 2026 - Jul 2026 仅限全球桌面设备

Agenta 或 Polygres哪个更好?

Agenta 可能比 Polygres 更受欢迎。如您所见,Agenta 每月有 29.1K 次访问,而 Polygres 每月有 11.6K 次访问。 所以更多的人选择了Agenta。 因此,人们很可能会在社交平台上更多地推荐 Agenta。

Agenta 的平均访问持续时间为 00:00:31,而 Polygres 的平均访问持续时间为 00:00:12。 此外,Agenta 的每次访问页面为 2.04,跳出率为 40.22%。 Polygres 的每次访问页面为 1.40,跳出率为 92.09%。

Agenta 的主要用户是United States, India, Vietnam, Brazil, United Kingdom,分布如下:23.78%, 18.79%, 8.70%, 7.88%, 7.00%。

Polygres 的主要用户是 United States,分布如下:100.00%。

查看其他对比

精选*