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unmodeled-tyler 
posted an update 3 days ago
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RESULTS ARE IN!

- Videos of each evaluation: https://www.youtube.com/playlist?list=PLkDBfeR-zsShiZ2HpcscFDH-36uDwsl5W
- Link to repo: https://github.com/unmodeled-tyler/vessel-browser
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quanta-intellect


Finally just wrapped up a comparative analysis of my new open source AI browser, Vessel, against Claude Chrome from Anthropic.

The test evaluates both web navigation harnesses for speed and efficiency on a simple real-world e-commerce task. Opus 4.6 was used for each of the 3 evaluations, and the results show that Opus 4.6 was AT LEAST 2X FASTER when using Vessel Browser for web navigation in place of Claude Chrome.

Results (in order, fastest to slowest)

1. Claude Code + Vessel Browser: 3 minutes and 10s

2. Hermes Agent + Vessel Browser: 4 minutes and 13s

3. Claude Code + Claude Chrome: 7 minutes and 57s

Vessel Browser is open source, designed explicitly for agents from the ground-up (it is not a fork of a human browser with AI features bolted on), and supports a local MCP server for agent control, or BYOK custom OAI endpoints. Check it out for yourself!
unmodeled-tyler 
posted an update 8 days ago
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Hey Hugging Face!

PRODUCT HUNT LINK: https://www.producthunt.com/products/quanta-intellect?utm_source=other&utm_medium=social

I've been sharing my new AI browser Vessel the last few days and I've gotten some great feedback/interest from a lot of you!

I'm excited to announce that Vessel Browser is now live on Product Hunt! If this is the first you've heard of it, check it out! Vessel is an open source AI browser built specifically for agents on Linux. It's not a fork of an existing browser, and it doesn't assume that the human is the primary operator.

If you've already tried Vessel Browser, feel free to leave a review on Product Hunt of what you thought - or if you'd prefer, send me an email directly or reach out on twitter if you have any questions about it. I'm perpetually online & happy to chat 😀

I'm committed to building the best open source AI browser out there, and Vessel is only going to improve as time goes on!
unmodeled-tyler 
posted an update 10 days ago
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PSA: LiteLLM has been compromised on PyPI - if you have it installed, CHECK NOW.

LiteLLM is used as a dependency in A LOT of AI tooling, so there's a pretty good chance that you have it installed somewhere on your machine (my instance was part of Hermes Agent, but I was unaffected by the hack)

Versions 1.82.7 & 1.82.8 on PyPI have been compromised with a multi-stage credential stealer.

- Version 1.82.8 uses a .pth file that executes on EVERY python process startup. You don't even need to import litellm. Just having it installed is enough.
- The payload harvests SSH keys, .env files, AWS/GCP/Azure credentials, Kubernetes configs, database passwords, crytpo wallets, shell history - basically every secret on your machine.
- Stolen data is encrypted with a hardcoded RSA key and exfiltrated to a domain that is NOT part of a legitimate litellm infrastructure.
- If you're running Kubernetes, it attempts lateral movement across the entire cluster.
- The C2 is hosted on the Internet Computer blockchain, making it essentially impossible to take down.

This is part of a coordinated campaign by a threat actor called TeamPCP who have also hit Trivy (Aqua Security), Checkmarx KICS, and multiple npm packages in the last week ALONE.

What to do:

1. Run 'pip show litellm' in every environment you have
2. If you're on 1.82.7 or 1.82.8 - rotate EVERY secret on that machine immediately.
3. Check for persistence artifacts ~/.config/sysmon/sysmon.py & ~/.config/systemd/user/sysmon.service

I was lucky in this case that my litellm version was out of date, but if you've installed litellm as a dependency in ANY package within the last 24ish hours, you're gonna want to check.

SOURCES
https://futuresearch.ai/blog/litellm-pypi-supply-chain-attack/

Same group, different attack a couple of days ago: https://www.stepsecurity.io/blog/canisterworm-how-a-self-propagating-npm-worm-is-spreading-backdoors-across-the-ecosystem
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unmodeled-tyler 
posted an update 12 days ago
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Here's a demo of Vessel Browser in action!

Minimax M2.7 was challenged with navigating to a large Ecom site, curate a selection of 5 different products, and add them all to the cart with included reasoning behind choices. (or try it yourself - open source, MIT license, and BYOK!)
npm i @quanta-intellect/vessel-browser

Vessel is a browser that I've been working on which is designed specifically for agents with human-in-the-loop visibility. It comes with a local MCP server allowing any harness that supports custom MCP to control the browser. Additionally, you can BYOK to 8+ different providers (including custom OAI compatible endpoints and local models).

One of my favorite features of the browser is persistent, bi-directional highlighting - meaning that both you AND the agent can highlight anything on the screen and the agent receives the context.

Vessel Browser is unique in that it surfaces available tools contextually to the agent, meaning the agent doesn't have to decide between 80+ tools at any given time, but rather is focused on a subset of tools most applicable to the current state.

Give it a try!

https://github.com/unmodeled-tyler/vessel-browser
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unmodeled-tyler 
posted an update 19 days ago
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LINK: https://github.com/unmodeled-tyler/vessel-browser

Hey Hugging Face!

It's been quiet from me over here for the last few weeks, but I've been busy building! I just submitted my project to the Hermes Agent Hackathon, and wanted to share it with all of you.

This is Vessel Browser - an AI-native web browser that runs locally on Linux, and is operated by your personal AI agent via MCP server. Vessel is built from the ground up around the agent as first-class and visible UI for human-in-the-loop with 3 different levels of permissions.

Your agent finds, reads, and organizes the web for you, based on what you actually care about - not what a platform's algorithm thinks you care about.

Once your agent finds what it's looking for, it can organize bookmarked pages into custom folders with summaries for later browsing, take screenshots with highlighted text, and integrate with Obsidian for long-term browsing related-memory.

Check it out!
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unmodeled-tyler 
posted an update about 1 month ago
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Link to Repo: https://github.com/unmodeled-tyler/thought-tracer

I had a great time at Mistral's Hackathon in SF over the weekend! There were a lot of incredibly talented builders there and it was an honor to be a part of it! 😄

I built Thought Tracer - a TUI-based logitlens application for Ministral 3B/8B with optional AI analysis from Mistral Large on the Mistral API.

Thought Tracer allows you to see what the model "believes" at each layer until it arrives at it's final next token prediction. The Entropy tab displays entropy through each layer, additionally providing both token-level and prompt-level risk for hallucination.

If you have a Mistral API key, the AI analysis section is actually pretty cool because it's returned in rendered markdown and easily understandable language - providing a commentary on how the model likely arrived at it's final prediction, and also offering diagnostics for model developers. This commentary actually makes the tool pretty beginner friendly to anyone interested in exploring AI research tools for the first time.

Check it out if you're interested!
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