Polygres VS Panofy
Polygres과 Panofy을(를) 비교해 보세요. Polygres과 Panofy의 차이점은 무엇인가요?
당신은 좋아할지도 모릅니다
요약
Polygres 요약
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 방문 페이지
Panofy 요약
Panofy 방문 페이지
세부 정보 비교
Polygres 세부정보
| 카테고리 | AI 개발자 도구, AI 에이전시, AI 지식 그래프, AI API 개발, AI 검색 엔진 |
| Polygres 웹사이트 | https://polygres.com?utm_source=toolify |
| 추가된 시간 | 8월 26 2026 |
| Polygres 가격 | -- |
Panofy 세부정보
| 카테고리 | AI 개발자 도구, AI 에이전시 |
| Panofy 웹사이트 | https://panofy.ai?utm_source=Toolify&utm_medium=referral&utm_campaign=product_launch |
| 추가된 시간 | 4월 14 2026 |
| Panofy 가격 | -- |
사용량 비교
Polygres을 어떻게 사용하나요?
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.
Panofy을 어떻게 사용하나요?
Activating an Invite Code After registering on the homepage, you will automatically be added to the invite code waitlist. Check your email for your invite code. Training Your Agent Training is the core step in Panofy. Once training is complete, your agent retains the role definition, task scope, and output requirements you have set, and applies them consistently in every subsequent conversation — no need to re-explain the background each time. 1. In the Agent Workspace, click "+ New Agent" in the top-right corner to begin the creation process. 2. Name your agent based on its intended function — for example, "TweetForge". 3. In the training input field, provide instructions or knowledge content for your agent. Define its role, task scope, output format requirements, and tone preferences. 4. Upload files to accelerate knowledge building. Suitable materials include SOPs, business guidelines, evaluation frameworks, and reference examples. 5. Click "Submit" to begin training. You will be automatically redirected to the Agent Workspace, where training progress updates in real time. 6. Once training is complete, the agent's status changes from "Training" to "Ready". You can then proceed to the next step. Assigning Tasks to Your Agent Once training is complete, your agent has internalized its setup and is ready to receive and execute task instructions. Executing a Task 1. In the Agent Workspace, click on the relevant agent to open the conversation interface. 2. Enter your task instructions in the input box and send. The agent will begin executing the task automatically. 3. Results are displayed in real time in the conversation window and simultaneously saved to the "Output" panel on the left. Creating a New Task 1. Click "New Task" in the right-hand navigation bar to create an additional task for the same agent. 2. For complex tasks, the agent will automatically generate a task plan listing each step. You can then choose to execute immediately, schedule execution, or revise the plan. 3. Once execution is confirmed, you can monitor the progress of each sub-task in real time. 4. Click "Import" in the right-hand navigation bar to bring in an existing task plan from another complex task. This allows established workflows to be saved and reused directly. Inviting Collaborators and Sharing 1. Click "Invite" in the right-hand navigation bar to generate an invite link. Anyone with the link can use your trained agent directly, with any credits consumed charged to their own account. You can configure whether to include access to external tools and whether to require a passcode. 2. Click the share icon above the conversation to generate a shareable link for the task record. You can set visibility to "Anyone with the link" or "Only me", and optionally enable playback mode so external viewers can replay the task without needing to register. You're ready to start. Create your first agent, train it, and let it become a genuine part of how you work. The more you put in, the better it gets.
Polygres과 Panofy의 장점 비교하기
Polygres의 핵심 기능
- 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
Panofy의 핵심 기능
- - Agent Training — Train a reusable AI agent with a single sentence. No more rewriting context every session. Your agent carries your instructions forward, reducing communication overhead and token consumption.
- - Long-Term Memory — As your agent works, it automatically learns experience and reflects on mistakes. The more you use it, the better it understands you.
- - Agent Swarm — Manage an entire team of AI agents from one platform. Each agent maintains its own dedicated knowledge base and memory, ready to handle its specialized role.
사용 사례 비교
Polygres의 사용 사례
- 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
Panofy의 사용 사례
- You can train a content assistant that understands your brand voice and continuously generates on-tone copy and content ideas.
- You can upload your company's SOPs and product documentation to turn an agent into an onboarding guide for new hires or a customer-facing support bot.
- You can define a competitive analysis framework and have an agent produce structured reports to that same standard, every time.
- What these scenarios share is that the agent doesn't just answer once — it becomes a stable, long-term part of how you work.
Polygres과 Panofy의 다른 요금제 비교
Polygres
$0 / forever
Open-source pgGraph and pgVector, runnable on any PostgreSQL instance, with community support.
$16 / month
Managed cloud database hosting with email and community Discord support. Currently free for now.
$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.
$4,096 / month minimum usage
Coming soon. Includes dedicated database infrastructure, custom compliance, high availability, 24/7 support, and dedicated support and uptime SLAs.
Panofy
$20 / PLUS
$200 / PRO
Polygres의 트래픽
Polygres은(는) 29.2K 월간 방문과 00:00:44 평균 방문 기간을 가진 것입니다. Polygres의 방문당 페이지 수는 1.61이고 이탈률은 68.04%입니다.
최신 웹사이트 트래픽
| 월 방문자 수 | 29.2K |
| 평균·방문시간 | 00:00:44 |
| 방문당 페이지 수 | 1.61 |
| 이탈률 | 68.04% |
Panofy의 트래픽
Panofy은(는) 0 월간 방문과 00:00:00 평균 방문 기간을 가진 것입니다. Panofy의 방문당 페이지 수는 0.00이고 이탈률은 0.00%입니다.
최신 웹사이트 트래픽
| 월 방문자 수 | 0 |
| 평균·방문시간 | 00:00:00 |
| 방문당 페이지 수 | 0.00 |
| 이탈률 | 0.00% |
지리적 트래픽
Polygres의 상위 3 국가/지역은 다음과 같습니다:United States 84.49%, India 15.16%, Mexico 0.34%
상위 3 국가/지역
 | 84.49% |
 | 15.16% |
 | 0.34% |
지리적 트래픽
죄송합니다. 데이터가 없습니다.
웹사이트 트래픽 소스
Polygres에 대한 6가지 주요 트래픽 소스는 다음과 같습니다.직접 43.28%, vs_sourcesSocialOrganic 34.37%, vs_sourcesSearchOrganic 14.81%, 추천 4.00%, 메일 1.48%, vs_sourcesGenAi 0.93%, vs_sourcesDisplayAds 0.49%, vs_sourcesAffiliate 0.25%, vs_sourcesSearchPaid 0.25%, vs_sourcesSocialPaid 0.12%
직접 | 43.28% |
vs_sourcesSocialOrganic | 34.37% |
vs_sourcesSearchOrganic | 14.81% |
추천 | 4.00% |
메일 | 1.48% |
vs_sourcesGenAi | 0.93% |
vs_sourcesDisplayAds | 0.49% |
vs_sourcesAffiliate | 0.25% |
vs_sourcesSearchPaid | 0.25% |
vs_sourcesSocialPaid | 0.12% |
웹사이트 트래픽 소스
Panofy에 대한 6가지 주요 트래픽 소스는 다음과 같습니다.메일 0, vs_sourcesGenAi 0, 직접 0, vs_sourcesAffiliate 0, 추천 0, vs_sourcesDisplayAds 0, vs_sourcesSearchPaid 0, vs_sourcesSocialPaid 0, vs_sourcesSearchOrganic 0, vs_sourcesSocialOrganic 0
메일 | 0 |
vs_sourcesGenAi | 0 |
직접 | 0 |
vs_sourcesAffiliate | 0 |
추천 | 0 |
vs_sourcesDisplayAds | 0 |
vs_sourcesSearchPaid | 0 |
vs_sourcesSocialPaid | 0 |
vs_sourcesSearchOrganic | 0 |
vs_sourcesSocialOrganic | 0 |
Polygres 또는 Panofy 중 어느 것이 더 낫습니까?
Polygres은(는) Panofy보다 약간 더 인기가 있을 수 있습니다. 보시다시피 Polygres의 월간 방문수는 29.2K회이고 Panofy의 월간 방문수는 0회입니다. 따라서 더 많은 사람들이 Polygres을(를) 선택합니다. 따라서 사람들이 소셜 플랫폼에서 Polygres을(를) 더 많이 추천할 가능성이 있습니다.
Polygres의 평균 방문 기간은 00:00:44이고 Panofy의 평균 방문 기간은 00:00:00입니다. 또한 Polygres의 방문당 페이지 수는 1.61이고 이탈률은 68.04%입니다. Panofy의 방문당 페이지 수는 0.00이고 이탈률은 0.00%입니다.
Polygres의 주요 사용자는 United States, India, Mexico이며 분포는 84.49%, 15.16%, 0.34%입니다.
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