# Browser Use vs Polygres

Browser Use records 1,206,376 monthly visits with +41.1% month-over-month growth and Freemium, Paid, Contact for Pricing pricing. Polygres records 4,018 monthly visits with -52.3% growth and Freemium pricing.

| Metric | [Browser Use](https://openaitools.app/tool/browser-use) | [Polygres](https://openaitools.app/tool/polygres) |
| :--- | :--- | :--- |
| Website URL | https://browser-use.com | https://polygres.com |
| Categories | AI Agent, AI API, AI Browsers, Large Language Models (LLMs) | AI Developer Tools, AI Agent, AI Knowledge Graph, AI API |
| Pricing Model | Freemium, Paid, Contact for Pricing | Freemium |
| Monthly Visits | 1,206,376 | 4,018 |
| MoM Growth Rate | +41.1% | -52.3% |
| Primary Market | United States | Global |
| Direct Visits | 625,168 | 1,605 |
| Review Score | 4.7 | 4.1 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Browser Use

Browser Use frames an agent as two halves: a harness that decides what to do, and a browser that executes it. The harness reads the page, plans clicks and typing, and can fall back to raw JavaScript evaluation when needed; the browser is a real Chromium instance that renders pages exactly as a person would see them. You hand over an instruction like "buy trail shoes, size 42, under $120" and receive a result plus structured data.

The company publishes its benchmarks publicly, which is unusual in this category. Their stealth browsers are reported to get through on 90.5% of a 100-site test against several competitors, and their shopping agent completes 91.8% of 500 stores. The Browser Harness component is free and open source and is used as the browser tool inside Claude Code and Codex-style agents.

For teams that need to run at scale, Browser Use offers cloud or on-premise browsers, US or EU execution with EU runs staying in Frankfurt, SOC 2 Type II compliance, and HIPAA coverage on enterprise plans. Pricing is usage-based for the hosted services, with a small free credit to start.

**Pricing & Plans:** Freemium with usage-based paid tiers: web agents around $0.006 per task, stealth browsers around $0.02 per browser hour, and the Browser Harness free and open source. $1 in free credit on signup; enterprise and on-premise are contact-for-pricing.

- **Natural-language web agents:** Describe the task and get structured JSON back, handling multi-step flows behind logins without hand-written selectors.
- **Stealth cloud browsers:** Managed Chromium instances with residential IPs that are benchmarked for getting past bot detection and CAPTCHAs.
- **Browser Harness (open source):** A free, open-source harness that plugs into coding agents; benchmarked as the most token-efficient browser tool of the set tested.
- **Cloud or on-premise deployment:** Run browsers in your own network or in managed US/EU cloud regions, with EU data staying in Frankfurt.
- **Compliance and benchmarks:** SOC 2 Type II, HIPAA on enterprise plans, and public head-to-head benchmark results.

**Strengths:** Industry-leading benchmark results published openly; Open-source harness means no lock-in for local development; Usage pricing is granular and starts with a free credit; Enterprise-grade options: on-prem, EU residency, SOC 2 Type II

**Limitations:** Per-task and per-hour costs can add up quickly at high volume; Stealth browsing raises ethical and terms-of-service questions teams must handle; Cloud usage requires an API key and some engineering integration

[Profile (Markdown)](https://openaitools.app/tool/browser-use.md)

## Polygres

Polygres is a retrieval platform that treats PostgreSQL as the backbone for AI-native applications. Rather than forcing teams to migrate to a new vector-only database, it virtualises a GraphRAG-style retrieval layer on top of Postgres, so existing relational records, embeddings and text indexes stay where they are while agents gain the ability to search by meaning, follow relationships and match exact wording in one request.

The platform bundles four complementary retrieval modes: semantic vector search for meaning, graph traversal for multi-hop relationships and shortest-path style queries, full-text search for exact terms, and hybrid search that blends them. Developers reach these capabilities through a hosted playground, a CLI for managing projects and imports, and a typed Python SDK for production applications.

Behind the managed platform are two open-source engines, pgGraph for graph traversal inside Postgres and pgContext for AI search, which teams can inspect, benchmark and self-host. Polygres supports both a managed database hosted by the company and connecting an existing Postgres instance, and it markets itself around agent memory, grounded answers with sources, product semantic search and recommendation systems.

**Pricing & Plans:** Polygres follows a freemium model with a free tier for getting started and paid managed plans for production workloads. Exact tiers are published on the company's pricing page, so check there for current numbers before budgeting.

- **Unified retrieval API:** Query graph, vector, full-text and hybrid retrieval through one consistent interface instead of stitching multiple systems together.
- **Graph traversal on Postgres:** The open-source pgGraph engine follows relationships across your records, enabling multi-hop and shortest-path retrieval without moving data.
- **Vector and hybrid search:** Semantic search over embeddings combines with sparse and full-text matching so queries that mix meaning and exact terms still work.
- **Developer toolkit:** A dashboard playground, CLI for imports and configuration, and a typed Python SDK make it straightforward to prototype and then ship.
- **Managed or bring-your-own Postgres:** Start on a Polygres-hosted database or connect an existing Postgres instance and extend what you already run.

**Strengths:** Keeps your existing PostgreSQL instead of forcing a migration to a specialised vector store; Combines four retrieval modes in one platform, which reduces the number of moving parts in a RAG stack; Core engines pgGraph and pgContext are open source, so the internals are inspectable and self-hostable; Familiar Postgres tooling, SQL knowledge and connection patterns carry over for most teams

**Limitations:** Team and community are relatively early-stage, so long-term support and ecosystem maturity are still developing; Being a newer product, third-party tutorials and integrations are thinner than for established vector databases; Fully managed convenience depends on using the hosted offering rather than the open-source engines alone

[Profile (Markdown)](https://openaitools.app/tool/polygres.md)

## Frequently Asked Questions

### How do Browser Use and Polygres compare in monthly traffic?

Browser Use has 1,206,376 monthly visits, while Polygres has 4,018. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Browser Use has a month-over-month growth rate of +41.1%; Polygres has -52.3%.

### How does pricing compare?

Browser Use: Freemium, Paid, Contact for Pricing. Freemium with usage-based paid tiers: web agents around $0.006 per task, stealth browsers around $0.02 per browser hour, and the Browser Harness free and open source. $1 in free credit on signup; enterprise and on-premise are contact-for-pricing. Polygres: Freemium. Polygres follows a freemium model with a free tier for getting started and paid managed plans for production workloads. Exact tiers are published on the company's pricing page, so check there for current numbers before budgeting.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Apify](https://openaitools.app/tool/apify) | 4,147,762 | +3.9% | Freemium, Contact for Pricing | Features a massive marketplace of pre-built web scrapers and automation actors, but less focused on autonomous custom LLM agent frameworks. | [.md](https://openaitools.app/tool/apify.md) |
| 2 | [Firecrawl](https://openaitools.app/tool/firecrawl-dev) | 1,828,239 | -1.9% | Freemium, Contact for Pricing | Excels at converting websites into clean LLM-ready markdown instantly, but does not provide interactive multi-step browser agent execution. | [.md](https://openaitools.app/tool/firecrawl-dev.md) |
| 3 | [TinyFish](https://openaitools.app/tool/tinyfish) | 1,124,952 | +199.7% | Freemium, Contact for Pricing | Provides cloud browsers and web automation APIs, but lacks a native open-source Python framework for local developer agent building. | [.md](https://openaitools.app/tool/tinyfish.md) |
| 4 | [Exa](https://openaitools.app/tool/exa-ai) | 1,062,574 | +16.8% | Freemium, Contact for Pricing | Web search API and crawler built for AI agents | [.md](https://openaitools.app/tool/exa-ai.md) |
| 5 | [You.com](https://openaitools.app/tool/you) | 948,349 | +7% | Freemium | Search and inference APIs that give AI models real-time web data | [.md](https://openaitools.app/tool/you.md) |
| 6 | [Bright Data](https://openaitools.app/tool/bright-data) | 802,752 | -5.9% | Free Trial, Paid | Web data infrastructure for scraping, proxies, and AI-ready datasets | [.md](https://openaitools.app/tool/bright-data.md) |
| 7 | [Algolia](https://openaitools.app/tool/algolia) | 689,970 | -11% | Freemium, Contact for Pricing | AI search and retrieval platform for modern apps and commerce | [.md](https://openaitools.app/tool/algolia.md) |
| 8 | [Pinecone](https://openaitools.app/tool/pinecone) | 286,732 | -31% | Freemium, Paid, Contact for Pricing | The managed vector database and knowledge engine for production AI | [.md](https://openaitools.app/tool/pinecone.md) |
| 9 | [Browserbase](https://openaitools.app/tool/browserbase) | 283,597 | -8% | Freemium | Provides managed cloud infrastructure for browser agents, but lacks the specific local open-source framework code of Browser Use. | [.md](https://openaitools.app/tool/browserbase.md) |
| 10 | [Browserless](https://openaitools.app/tool/browserless) | 185,543 | -21.2% | Freemium, Paid, Contact for Pricing | Delivers scalable headless browser hosting via APIs, but requires manual script building rather than autonomous agent orchestration. | [.md](https://openaitools.app/tool/browserless.md) |

---
Source: https://openaitools.app/compare/browser-use-vs-polygres

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)