--- title: "HyperAgent vs DemoGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hyperbrowserai-hyperagent-vs-melih-unsal-demogpt" tools: ["hyperbrowserai-hyperagent", "melih-unsal-demogpt"] --- # HyperAgent vs DemoGPT *GraphCanon updated Sep 20, 2026* ## Verdict Pick HyperAgent if hyperAgent automates browser tasks using Playwright and LLMs; pick DemoGPT if extracting decision-critical facts for DemoGPT. [HyperAgent](https://www.hyperbrowser.ai/) reports 1.6k GitHub stars, 209 forks, and 26 open issues, last pushed May 11, 2026. [DemoGPT](https://github.com/melih-unsal/DemoGPT) has 1.9k stars, 224 forks, and 10 open issues, last pushed Apr 1, 2026. Figures are from public GitHub metadata via [HyperAgent's repository](https://github.com/hyperbrowserai/HyperAgent) and [DemoGPT's repository](https://github.com/melih-unsal/DemoGPT). | | [HyperAgent](/tools/hyperbrowserai-hyperagent.md) | [DemoGPT](/tools/melih-unsal-demogpt.md) | | --- | --- | --- | | Tagline | AI Browser Automation | Create LLM agents in a second with your prompts. | | Stars | 1,573 | 1,909 | | Forks | 209 | 224 | | Open issues | 26 | 10 | | Language | TypeScript | Python | | Adopt for | HyperAgent automates browser tasks using Playwright and LLMs. | Extracting decision-critical facts for DemoGPT | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | AI Agents, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [HyperAgent](/tools/hyperbrowserai-hyperagent.md) | [DemoGPT](/tools/melih-unsal-demogpt.md) | | --- | --- | --- | | Days since push | 131d | 171d | | Open issues (now) | 26 | 10 | | Stars delta | +48 (30d) | +5 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/hyperbrowserai-hyperagent/trust.md) | [trust report](/tools/melih-unsal-demogpt/trust.md) | ## Decision facts: HyperAgent - **Adopt for:** HyperAgent automates browser tasks using Playwright and LLMs. ## Decision facts: DemoGPT - **Adopt for:** Extracting decision-critical facts for DemoGPT ## Choose when ### Choose HyperAgent if… - HyperAgent is primarily TypeScript; DemoGPT is Python. - License: HyperAgent is Other, DemoGPT is MIT. - Tags unique to HyperAgent: automation, chrome, llm, playwright. - HyperAgent ships an MCP server manifest. - When you need to integrate advanced AI-driven decisions into your web automation workflows ### Choose DemoGPT if… - DemoGPT is primarily Python; HyperAgent is TypeScript. - License: DemoGPT is MIT, HyperAgent is Other. - Tags unique to DemoGPT: autonomous-agents, chatgpt, langchain, llms. - When you need a one-stop solution for creating LLM agents with pre-integrated tools, prompts, frameworks, and models. ## When NOT to use HyperAgent - Avoid if the project does not require browser-based tasks or interactivity with websites - Do not use HyperAgent if you prefer native Python tools for browser automation, as it uses TypeScript ## When NOT to use DemoGPT - When seeking highly specialized customization that goes beyond what is provided by integrated toolkits, since DemoGPT offers a comprehensive package which may lock you into its framework. - If your project critically requires proprietary or private licensing terms, as it's open-source under the MIT license and might not suit projects needing more restrictive or proprietary controls. ## Common questions ### What is the difference between HyperAgent and DemoGPT? HyperAgent: AI Browser Automation. DemoGPT: Create LLM agents in a second with your prompts.. See the comparison table for live GitHub stats and shared categories. ### When should I choose HyperAgent over DemoGPT? Choose HyperAgent over DemoGPT when HyperAgent is primarily TypeScript; DemoGPT is Python; License: HyperAgent is Other, DemoGPT is MIT; Tags unique to HyperAgent: automation, chrome, llm, playwright; HyperAgent ships an MCP server manifest; When you need to integrate advanced AI-driven decisions into your web automation workflows. ### When should I choose DemoGPT over HyperAgent? Choose DemoGPT over HyperAgent when DemoGPT is primarily Python; HyperAgent is TypeScript; License: DemoGPT is MIT, HyperAgent is Other; Tags unique to DemoGPT: autonomous-agents, chatgpt, langchain, llms; When you need a one-stop solution for creating LLM agents with pre-integrated tools, prompts, frameworks, and models. ### When should I avoid HyperAgent? Avoid if the project does not require browser-based tasks or interactivity with websites Do not use HyperAgent if you prefer native Python tools for browser automation, as it uses TypeScript ### When should I avoid DemoGPT? When seeking highly specialized customization that goes beyond what is provided by integrated toolkits, since DemoGPT offers a comprehensive package which may lock you into its framework. If your project critically requires proprietary or private licensing terms, as it's open-source under the MIT license and might not suit projects needing more restrictive or proprietary controls. ### Is HyperAgent or DemoGPT more popular on GitHub? DemoGPT has more GitHub stars (1,909 vs 1,573). Stars measure visibility, not whether either tool fits your constraints. ### Are HyperAgent and DemoGPT open source? Yes - both are open-source projects on GitHub (HyperAgent: Other, DemoGPT: MIT). ### Where can I find alternatives to HyperAgent or DemoGPT? GraphCanon lists graph-backed alternatives at [HyperAgent alternatives](/tools/hyperbrowserai-hyperagent/alternatives) and [DemoGPT alternatives](/tools/melih-unsal-demogpt/alternatives) ([HyperAgent markdown twin](/tools/hyperbrowserai-hyperagent/alternatives.md), [DemoGPT markdown twin](/tools/melih-unsal-demogpt/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/hyperbrowserai-hyperagent-vs-melih-unsal-demogpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, HyperAgent or DemoGPT? HyperAgent: Slowing. DemoGPT: Slowing. 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 HyperAgent and DemoGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [HyperAgent trust report](/tools/hyperbrowserai-hyperagent/trust); [DemoGPT trust report](/tools/melih-unsal-demogpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=hyperbrowserai-hyperagent`](/api/graphcanon/graph?tool=hyperbrowserai-hyperagent) - 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/_