LLM Reader AI Agent
by m92vyasTurn Webpage to LLM friendly input text. Similar to Firecrawl and Jina Reader API. Makes RAG, AI web scraping, image & webpage links extraction easy.
LLM Reader is an open-source ai agent by m92vyas, written mainly in Python, with 314 GitHub stars and the MIT license. Its code was last updated Oct 20, 2026.
Scan summary: scanned Nov 5, 2026 at commit 60c980d. No capabilities flagged by our checks. Scan policy
What LLM Reader can touch
- Our checks did not find this. The tool may still do it.Run shell commandsNot seen in this scan
- Our checks did not find this. The tool may still do it.Run dynamic codeNot seen in this scan
- Our checks did not find this. The tool may still do it.Read or write filesNot seen in this scan
- Our checks did not find this. The tool may still do it.Read environment and secretsNot seen in this scan
- Our checks did not find this. The tool may still do it.Control a web browserNot seen in this scan
- Our checks did not find this. The tool may still do it.Connect to databasesNot seen in this scan
- Our checks did not find this. The tool may still do it.Read or send messagesNot seen in this scan
- Our checks did not find this. The tool may still do it.Touch money or tradingNot seen in this scan
- Our checks did not find this. The tool may still do it.Connect to the internetNot run in this scan
"Not seen" means our checks did not find it, and the tool may still do it. Covers commit 60c980d, Nov 5, 2026. See the scan policy.
Before you install LLM Reader
AgenticMart scanned LLM Reader on Nov 5, 2026 with automated checks for hidden code, known-malicious packages, leaked secrets and vulnerable dependencies. The result covers one commit under our scan policy, so review what access you give it and check any advisories shown here.
What it can access
- An AI agent decides its own next steps and calls whatever tools you give it, so its risk depends on the access you grant.
- Based on its description and topics, it likely needs to control a web browser (visit sites, fill in and submit forms).
Before you install
- Run it in a separate browser profile without your logged-in accounts.
- Pin the version you reviewed instead of always installing the latest release.
- Read the tool list or scripts before the first run, and keep approval prompts on for actions that write, send or delete.
- Maintained by m92vyas on GitHub, 314 stars and 24 forks. Popularity is not proof of safety.
- Last code change: Oct 20, 2026.
- Open-source license: MIT.
LLM Reader is an open-source ai agent by m92vyas, written mainly in Python. Turn Webpage to LLM friendly input text. Similar to Firecrawl and Jina Reader API. Makes RAG, AI web scraping, image & webpage links extraction easy.
At a glance
- Stars
- 314
- Forks
- 24
- Language
- Python
- License
- MIT
- Created
- Jul 2024
- Last update
- Oct 20, 2026
- Type
- AI Agent
- Price
- Free
Topics
Questions about LLM Reader
What is LLM Reader?
Turn Webpage to LLM friendly input text. Similar to Firecrawl and Jina Reader API. Makes RAG, AI web scraping, image & webpage links extraction easy.
Who maintains LLM Reader?
LLM Reader is maintained by m92vyas on GitHub (m92vyas/llm-reader). AgenticMart lists it from public repository data.
Is LLM Reader safe to use?
AgenticMart scanned LLM Reader on Nov 5, 2026 with automated checks for hidden code, known-malicious packages, leaked secrets and vulnerable dependencies. The result covers one commit under our scan policy, so review what access you give it and check any advisories shown here.
What license does LLM Reader use?
It is published under the MIT license.
LLM Reader alternatives
View more →Similar ai agents in Web Scraping & Data, ranked by GitHub stars. Compare licence, recent activity and scan status before you choose.
| Name | Stars | Licence | Last updated | Scan |
|---|---|---|---|---|
| LLM Reader (this page) m92vyas | 314 | MIT | Oct 20, 2026 | Scanned, no flagged issues |
| Firecrawl firecrawl | 198k | AGPL-3.0 | Oct 31, 2026 | Scanned, no flagged issues |
| Crawl4ai unclecode | 87k | Apache-2.0 | Nov 1, 2026 | Scanned, no flagged issues |
| Vane ItzCrazyKns | 38k | MIT | Sep 1, 2026 | Scanned, no flagged issues |
| Maxun getmaxun | 18k | AGPL-3.0 | Oct 28, 2026 | Scanned, no flagged issues |
| Xiaobei TeamWiseFlow | 8.7k | None found | Oct 30, 2026 | Not scanned yet |