RAMP is an open-source project built for developers and local AI enthusiasts.

Does RAMP have a free plan?

Yes — RAMP is open source under the MIT license and free to use.

What platforms does RAMP run on?

RAMP runs on the command line and API. It can also be self-hosted.

Is RAMP still maintained?

The GitHub repository shows 8 commits in the last 90 days.

RAMP is developed by Shivapreetham.

Yes — RAMP is open source under the MIT license, developed on GitHub.

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RAMP

Name: RAMP
Author: Shivapreetham

PyPIInfrastructure

RAMP, or Resource-Aware Model Proxy, is an open-source local LLM daemon that calibrates model size to available RAM, VRAM, and disk space. It provides a proxy layer for local inference workflows using tools such as llama.cpp and Ollama, with an OpenAI-compatible API.

Open SourceMITCLISelf-hostedAPI

Visit PyPI

Overview

9 features

RAMP is an Other infrastructure project. It focuses on running local language models reliably across machines with different RAM, VRAM, and disk capacity. RAMP is an open-source project aimed at developers and local AI enthusiasts. The project is open source (MIT). RAMP is available on the command line and API, and it can be self-hosted.

It is developed by Shivapreetham, and it first shipped in 2026. Development happens publicly on GitHub with 8 commits in the last 90 days. Key capabilities include resource calibration, model sizing, and RAM detection. It exposes integrations via a public API.

Summary written by a language model from the project’s public pages.

Resource calibration
Model sizing
RAM detection
VRAM detection
Disk detection
LLM proxy
Local inference
OpenAI API compatibility
Quantization support

Built with & integrations

Framework

FastAPI

Connectors

API

Runs on

CLISelf-hostedAPI-only

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed26 Aug · 00:23 UTC
ramp-llm verified via PyPI Bulk Enumerator
Source: PyPI Bulk Enumerator · Open

Frequently asked questions about RAMP

What is RAMP?: RAMP focuses on running local language models reliably across machines with different RAM, VRAM, and disk capacity. It is catalogued under Other infrastructure on PulseGate.
Who is RAMP for?: RAMP is an open-source project built for developers and local AI enthusiasts.
Does RAMP have a free plan?: Yes — RAMP is open source under the MIT license and free to use.
What platforms does RAMP run on?: RAMP runs on the command line and API. It can also be self-hosted.
Is RAMP still maintained?: The GitHub repository shows 8 commits in the last 90 days.
Who makes RAMP?: RAMP is developed by Shivapreetham.
When did RAMP launch?: RAMP first shipped in 2026.
Is RAMP open source?: Yes — RAMP is open source under the MIT license, developed on GitHub.

At a glance

Platforms: CLI
Languages: English
Open source: Yes (GitHub)
License: MIT
First seen: 26 Aug 2026
Built for: developers and local AI enthusiasts
Model: Open source
Solves: Running local language models reliably across machines with different RAM, VRAM, and disk capacity.

Registered as

GitHub: shivapreetham/resource-aware-model-proxy
PyPI: ramp-llm

Developer

Shivapreetham

Solo developer

GitHub

Open source

View on GitHub

Stars: 0
Forks: 0
Open issues: 0
Last commit: 26 Aug 2026
Commits 90d: 8
Contributors: 1
Authorship: Solo
Default branch: main
Latest release: v0.1.0 · 26 Aug 2026

Index record

Indexed: 26 Aug 2026
Lifecycle: Alive
First seen: Aug 2026
Last seen: 26 Aug 2026

Identity audit (13)

Slug: ramp-llm-pypi-org
Lifecycle last checked: 8 Sept 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 26 Aug 2026
Timeline basis: Indexed-at chronology (no inferred launch/funding milestones).
Name from: Written by a language model from the project's public pages.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Last updated: 26 Aug 2026
Canonical URL: https://pypi.org/project/ramp-llm

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