# Vram.ai

- **Website:** <https://vram.ai>
- **Primary alias:** `vram.ai`

## Description

VRAM is at the forefront of innovation in the blockchain sphere, introducing the first SocialFi AI Agent Launchpad on the Sui network. This pioneering platform enables users to build, deploy, and monetize AI agents utilizing the $VRAM token. VRAM combines a modular framework for creating autonomous AI agents with an open-source development model, promoting continuous enhancement and community collaboration.

Unique features of VRAM include a decentralized incubator for launching AI models, a transparent launch mechanism, and an ecosystem that rewards community contributions. Users can earn rewards by improving AI agents and share profits from successful models. The platform supports interconnected intelligence whereby AI agents learn and collaborate, leveraging integration with both Web3 and Web2 APIs for a seamless user experience.

With a total supply of 500 million tokens, VRAM is strategically allocated to bolster public distribution, ecosystem growth, and community rewards. Join VRAM in shaping the future of AI development and explore the endless possibilities of interconnected intelligence.

## Industries

- 🖥 Computers Electronics and Technology
- 🖥 Blockchain and Cryptocurrency _(under Computers Electronics and Technology)_

## Links

- [twitter](https://twitter.com/vramxai)
- [github](https://github.com/VRAM-AI)

## Logos & icons

- icon _(primary)_ — PNG — [download](https://cdn.brandfetch.io/idOZRCTglc/w/250/h/250/theme/dark/icon.png?c=1bxid64Mup7aczewSAYMX&t=1738915602085)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Chartreuse | #8ce100 | accent |
| Black | #000000 | dark |

## Fonts

- League Gothic — asset _(google)_
- var(--font-primary) — asset _(custom)_

## Imagery

- banner _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/idOZRCTglc/w/1500/h/500/id-xgxpxGG.jpeg?c=1bxid64Mup7aczewSAYMX&t=1738915601930)

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_Source: <https://brandfetch.com/vram.ai>_
_See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._