--- title: "awesome-llm-apps vs stealth-browser-mcp" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/shubhamsaboo-awesome-llm-apps-vs-vibheksoni-stealth-browser-mcp" tools: ["shubhamsaboo-awesome-llm-apps", "vibheksoni-stealth-browser-mcp"] --- # awesome-llm-apps vs stealth-browser-mcp *GraphCanon updated Jul 11, 2026* ## Verdict Pick awesome-llm-apps when license: awesome-llm-apps is Apache-2.0, stealth-browser-mcp is MIT; pick stealth-browser-mcp when license: stealth-browser-mcp is MIT, awesome-llm-apps is Apache-2.0. [awesome-llm-apps](https://www.theunwindai.com) reports 118k GitHub stars, 17k forks, and 6 open issues, last pushed Jul 11, 2026. [stealth-browser-mcp](https://github.com/vibheksoni/stealth-browser-mcp) has 1.5k stars, 227 forks, and 1 open issues, last pushed May 24, 2026. Figures are from public GitHub metadata via [awesome-llm-apps's repository](https://github.com/Shubhamsaboo/awesome-llm-apps) and [stealth-browser-mcp's repository](https://github.com/vibheksoni/stealth-browser-mcp). | | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | [stealth-browser-mcp](/tools/vibheksoni-stealth-browser-mcp.md) | | --- | --- | --- | | Tagline | 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. | The only browser automation that bypasses anti-bot systems. AI writes network hooks, clones UIs pixel-perfect via simple chat. | | Stars | 117,774 | 1,501 | | Forks | 17,498 | 227 | | Open issues | 6 | 1 | | Language | Python | Python | | Adopt for | awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python. | - | | Persona | - | - | | Runtime | - | - | | License | The Apache-2.0 license allows users to freely use, modify, and distribute the projects found in awesome-llm-apps under specific conditions outlined by the license. | MIT | | Categories | AI Agents, Data & Retrieval | AI Agents, Data & Retrieval, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | [stealth-browser-mcp](/tools/vibheksoni-stealth-browser-mcp.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 0d | 47d | | Open issues (now) | 6 | 1 | | Security scan | No lockfile | No MCP manifest | | Full report | [trust report](/tools/shubhamsaboo-awesome-llm-apps/trust.md) | [trust report](/tools/vibheksoni-stealth-browser-mcp/trust.md) | ## Decision facts: awesome-llm-apps - **Pricing:** freemium - Free with open-source licensing, but commercial exploitation is allowed. - **Adopt for:** awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python. - **License detail:** The Apache-2.0 license allows users to freely use, modify, and distribute the projects found in awesome-llm-apps under specific conditions outlined by the license. ## Choose when ### Choose awesome-llm-apps if… - License: awesome-llm-apps is Apache-2.0, stealth-browser-mcp is MIT. - Pricing: Free with open-source licensing, but commercial exploitation is allowed.. - Tags unique to awesome-llm-apps: llms, deployable, applications, agents. - When you need quick implementations of various real-world use cases for AI Agents and RAG. ### Choose stealth-browser-mcp if… - License: stealth-browser-mcp is MIT, awesome-llm-apps is Apache-2.0. - Tags unique to stealth-browser-mcp: claude-mcp, ai-agent-tools, anti-bot-bypass, browser-automation. - Also covers Developer Tools. ## When NOT to use awesome-llm-apps - If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch. - When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction. ## When NOT to use stealth-browser-mcp - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## Common questions ### What is the difference between awesome-llm-apps and stealth-browser-mcp? awesome-llm-apps: 100+ AI Agent & RAG apps you can actually run — clone, customize, ship.. stealth-browser-mcp: The only browser automation that bypasses anti-bot systems. AI writes network hooks, clones UIs pixel-perfect via simple chat.. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-llm-apps over stealth-browser-mcp? Choose awesome-llm-apps over stealth-browser-mcp when License: awesome-llm-apps is Apache-2.0, stealth-browser-mcp is MIT; Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: llms, deployable, applications, agents; When you need quick implementations of various real-world use cases for AI Agents and RAG. ### When should I choose stealth-browser-mcp over awesome-llm-apps? Choose stealth-browser-mcp over awesome-llm-apps when License: stealth-browser-mcp is MIT, awesome-llm-apps is Apache-2.0; Tags unique to stealth-browser-mcp: claude-mcp, ai-agent-tools, anti-bot-bypass, browser-automation; Also covers Developer Tools. ### When should I avoid awesome-llm-apps? If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch. When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction. ### When should I avoid stealth-browser-mcp? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### Is awesome-llm-apps or stealth-browser-mcp more popular on GitHub? awesome-llm-apps has more GitHub stars (117,774 vs 1,501). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-llm-apps and stealth-browser-mcp open source? Yes - both are open-source projects on GitHub (awesome-llm-apps: Apache-2.0, stealth-browser-mcp: MIT). ### Where can I find alternatives to awesome-llm-apps or stealth-browser-mcp? GraphCanon lists graph-backed alternatives at [awesome-llm-apps alternatives](/tools/shubhamsaboo-awesome-llm-apps/alternatives) and [stealth-browser-mcp alternatives](/tools/vibheksoni-stealth-browser-mcp/alternatives) ([awesome-llm-apps markdown twin](/tools/shubhamsaboo-awesome-llm-apps/alternatives.md), [stealth-browser-mcp markdown twin](/tools/vibheksoni-stealth-browser-mcp/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/shubhamsaboo-awesome-llm-apps-vs-vibheksoni-stealth-browser-mcp.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-llm-apps or stealth-browser-mcp? awesome-llm-apps: Very active. stealth-browser-mcp: Steady. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for awesome-llm-apps and stealth-browser-mcp? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-llm-apps trust report](/tools/shubhamsaboo-awesome-llm-apps/trust); [stealth-browser-mcp trust report](/tools/vibheksoni-stealth-browser-mcp/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=shubhamsaboo-awesome-llm-apps`](/api/graphcanon/graph?tool=shubhamsaboo-awesome-llm-apps) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_