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AIAS

aias.topInfrastructure

PulseGate's liveness check found it on 8 Oct 2026; it is registered on GitHub and has been in the index since 14 Aug 2026. How this is checked

AIAS is an open-source AI acceleration suite providing Java SDKs, engines, and reusable components for deploying computer vision, NLP, search, and generative AI applications. It includes modules for OCR, face and image search, segmentation, model training, and Stable Diffusion-based image generation.

Inferred · not functionally tested

Open SourceApache-2.0WebSelf-hosted
AIAS preview
Visit aias.top
987stars
290forks
10features
2021since

Overview

6 features

Purpose: Deploying AI algorithms and application workflows across business scenarios without building every component from scratch.

Inferred · not functionally tested

Audience: AI developers and enterprise system integrators

Inferred · not functionally tested

Functions: data_extraction, image_generation

Inferred · not functionally tested

Interfaces: API: unknown · MCP: unknown · CLI: unknown · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: Apache-2.0 · platforms: WEB · deployment: browser, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: aias.top · github.com. These links do not verify the individual claims.

AIAS sits in PulseGate's Frameworks & SDKs category. Inferred · not functionally tested: It focuses on deploying AI algorithms and application workflows across business scenarios without building every component from scratch. Inferred · not functionally tested: It is built as an open-source project for AI developers and enterprise system integrators. Basis unknown · not verified: AIAS is open source under the Apache-2.0 license. Basis unknown · not verified: AIAS is available on the web, and it can be self-hosted.

Behind AIAS is mymagicpower, and it first shipped in 2021. The project is developed in the open on GitHub with 987 stars. Inferred · not functionally tested: Among its 6 catalogued features are AI application suite, Java SDKs, and image matting.

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

Tasks: Inferred · not functionally tested

  • AI application suite
  • Java SDKs
  • Image matting
  • Speech recognition
  • OCR
  • Model training

Topics: Inferred · not functionally tested

Tags
java-ai-sdkcomputer-visionocr-pipelinesvector-searchstable-diffusion
AI capabilities
ImageTextMultimodal
Inference: Cloud APIWeights: Open

JSON profile · Text profile · Access guide

Built with & integrations

AI providers
meta_llama
Runs on
BrowserSelf-hosted

Trust & compliance

License
Apache-2.0
Public signals
HTTPSOpen SourceFree tierGitHub · ★ 987

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed14 Aug · 07:12 UTC
    mymagicpower/AIAS seen via GitHub Search (Smart)
    Source: GitHub Search (Smart) · Open

Frequently asked questions about AIAS

What does AIAS do?
Inferred · not functionally tested: AIAS focuses on deploying AI algorithms and application workflows across business scenarios without building every component from scratch. It is catalogued under Frameworks & SDKs on PulseGate.
Who is AIAS for?
Inferred · not functionally tested: AIAS is an open-source project built for AI developers and enterprise system integrators.
Does AIAS have a free plan?
Basis unknown · not verified: Yes — AIAS is open source under the Apache-2.0 license and free to use.
What platforms does AIAS run on?
Basis unknown · not verified: AIAS runs on the web. It can also be self-hosted.
Is AIAS still active?
PulseGate's liveness check found it on 8 Oct 2026.
What projects are similar to AIAS?
Similar projects tracked by PulseGate include AI SDK, Ai Gateway, and aasai.AI SDKAi Gatewayaasai
Who develops AIAS?
AIAS is developed by mymagicpower.
How long has AIAS been around?
AIAS first shipped in 2021.

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